Re: What Deep Blue showed was that chess is not a game of true intelligence



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Topic: Science > Philosophy
User: "TheUnknownOne"
Date: 10 May 2005 02:52:33 PM
Object: Re: What Deep Blue showed was that chess is not a game of true intelligence
Otherwise a machine would not have been able to defeat a human.
Machines are superior to humans in many tasks including chess but not in
tasks where
true creative intelligence is required.
Therefore, chess is not a sign of intelligence but rather an indicator of
possessing certain abilities like memory,
logical or cause and effect thinking; both of which a machine excels at; a
human, however, is limited in both abilities.
Conclusion: machine will always beat human in chess.
.

User: "richard miller"

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 10 May 2005 04:50:20 PM
"TheUnknownOne" <infpi9955@taadisunknown.com> wrote in message
news:Pl8ge.35594$vN2.885536@wagner.videotron.net...

Otherwise a machine would not have been able to defeat a human.
Machines are superior to humans in many tasks including chess but not in
tasks where
true creative intelligence is required.
Therefore, chess is not a sign of intelligence but rather an indicator of
possessing certain abilities like memory,
logical or cause and effect thinking; both of which a machine excels at; a
human, however, is limited in both abilities.
Conclusion: machine will always beat human in chess.



Being brilliant at chess, is a sign of being brilliant at chess, just like a
high IQ is being brilliant at a high IQ. Being a brilliant musician at 3
means you will probably be brilliant at 20, but no guaranteee. Similarly,
you could have a degree in mathematics and theoretical physics at 15 but it
would not make you Albert Einstein.
Perhaps, if you were Gauss, you may be an exception. It is the media who
hype the brilliance they want to see.
The person who is brilliant is that person whose theory is verifiable,
endures, leads to new phenomena, can predict new phenomena, can overthrow
other theories which cannot make the same, observable, predictions. There
you have a genius.
Genius is ultimately based upon results. Newton has fended them off for four
hundred years. Einstein has battled much fiercer enemies for 100 years. It
is their results that stand and make their reputation what it is. Only those
in denial continually ply rubbish.
What deep blue showed is that brute force is no substitute for true genius.
And chess has nothing to with it.
If you want a winning move, choose Mathematical Physics. If you want to be a
solitary chess geek, choose Chess.
RJM
.

User: "Terry"

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 13 May 2005 01:51:36 AM
"TheUnknownOne" <infpi9955@taadisunknown.com> wrote in message
news:Pl8ge.35594$vN2.885536@wagner.videotron.net...

Otherwise a machine would not have been able to defeat a human.
Machines are superior to humans in many tasks including chess but not in
tasks where
true creative intelligence is required.
Therefore, chess is not a sign of intelligence but rather an indicator of
possessing certain abilities like memory,
logical or cause and effect thinking; both of which a machine excels at; a
human, however, is limited in both abilities.
Conclusion: machine will always beat human in chess.


This is a load of bollocks.
Humans do not have the calculating power of computers therefore we
have to use our intelligence to play chess.
Regards
.

User: "Immortalist"

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 22 May 2005 08:29:10 PM

Conclusion: machine will always...

If it walks like a duck
Talks like a duck
If it smells like a duck
Tastes like a duck
If it feels like a duck
Tells like a duck
If it looks like a duck
Sounds like a duck
It's a ***** duck (IGGY)
http://tinyurl.com/cffzc
--------------------------
If it walks like *****
Talks like *****
It must be *****
If it feels like *****
Tastes like *****
It must be *****
If it looks like *****
Sounds like *****
It must be *****
If it smells like *****
Tells like *****
It must be *****
See Times Square
A vacuum of feeling
Listen, little man
Advertise this
That it's all *****
It's all *****
Nothing but *****
Billboard *****
Love just keeps on coming
Love will clean it up
Love just keeps on coming
Love will sweep it out
Love just keeps on coming
Love just keeps on coming
If it walks like a duck
Talks like a duck
It must be a duck
If it smells like a duck
Talks like a duck
It must be a duck
If it smells like a duck
Tastes like a duck
It's a ***** duck
If it feels like a duck
Tells like a duck
It must be a duck
If it looks like a duck
Sounds like a duck
It must be a duck
Walking blinded
Eternal night
Of hype no magic
Fake no love
Child are actors
How depressing
Little adults
With fancy pants
Ohhhhhhh
Love just keeps on coming
Love just keeps on coming, baby
Love just keeps on coming
Love just keeps on coming
Love will weed =E2=80=98em out
Love just keeps on coming baby
Love just keeps on coming baby
Love
Love
Your fucking cache is over, baby
Skybar *****
Nobody cares
Nobody cares
Nobody cares
Nobody cares
Nobody cares
=A91999-2004 The-Lyrics.com.
http://iggy-pop.the-lyrics.com/it's-all-*****-266489.html
http://www.google.com/search?hl=3Den&lr=3D&ie=3DISO-8859-1&q=3Diggy+pop+lyr=
ics+walks+like+a+duck&btnG=3DSearch
somewere on a pocket pc
.
User: ""

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 23 May 2005 04:52:05 AM
In article <1116811750.087698.54780@g14g2000cwa.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:


Conclusion: machine will always...


If it walks like a duck
Talks like a duck
If it smells like a duck
Tastes like a duck
If it feels like a duck
Tells like a duck
If it looks like a duck
Sounds like a duck

It's a ***** duck (IGGY)

Not if it doesn't function like a duck, then it's a lump in duck's
feathers packaged by a marketroid.
<snip trash>
/BAH
Subtract a hundred and four for e-mail.
.
User: "Immortalist"

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 23 May 2005 09:22:24 AM
wrote:

In article <1116811750.087698.54780@g14g2000cwa.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:


Conclusion: machine will always...


If it walks like a duck
Talks like a duck
If it smells like a duck
Tastes like a duck
If it feels like a duck
Tells like a duck
If it looks like a duck
Sounds like a duck

It's a ***** duck (IGGY)


Not if it doesn't function like a duck, then it's a lump in duck's
feathers packaged by a marketroid.

Therefore the quoted text indicates at least some evidence of "the
functional" and you agree with Iggy but didn't know it?
Functionalism (philosophy of mind)
http://en.wikipedia.org/wiki/Functionalism_%28philosophy_of_mind%29

From Wikipedia, the free encyclopedia.

Functionalism is the dominant theory of mental states in modern
philosophy.
Functionalism was developed as an answer to the mind-body problem
because of objections to both identity theory and logical behaviourism.
Its core idea is that the mental states can be accounted for without
taking into account the underlying physical medium (the neurons),
instead attending to higher-level functions such as beliefs, desires,
and emotions.
According to functionalism, the mental states that make up
consciousness can essentially be defined as complex interactions
between different functional processes.
Because these processes are not limited to a particular physical state
or physical medium, they can be realized in multiple ways, including,
theoretically, within non-biological systems.
This affords consciousness the opportunity to exist in non-human minds.
According to some materialist views of consciousness, only a biological
human brain was capable of consciousness.
Everything that consciousness was, the argument went, was surely unique
to and could be traced to a particular center of the biological human
brain. However, it has been shown that that the human brain has
"functional plasticity" such that people with as much as half of their
brains removed during early infancy apparently can develop into adults
whose behavior cannot be distinguished from other adults with all of
their original brain intact.

<snip trash>

/BAH

Subtract a hundred and four for e-mail.

.
User: ""

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 24 May 2005 06:13:40 AM
In article <1116858144.075415.255720@g43g2000cwa.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:

jmfbahciv@aol.com wrote:

In article <1116811750.087698.54780@g14g2000cwa.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:


Conclusion: machine will always...


If it walks like a duck
Talks like a duck
If it smells like a duck
Tastes like a duck
If it feels like a duck
Tells like a duck
If it looks like a duck
Sounds like a duck

It's a ***** duck (IGGY)


Not if it doesn't function like a duck, then it's a lump in duck's
feathers packaged by a marketroid.


Therefore the quoted text indicates at least some evidence of "the
functional" and you agree with Iggy but didn't know it?

Nope. There is no evidence that this description is about a duck.
My response indicated that such a marketing ploy is not effective.
Yet you still keep trying by....


Functionalism (philosophy of mind)
http://en.wikipedia.org/wiki/Functionalism_%28philosophy_of_mind%29

From Wikipedia, the free encyclopedia.


Functionalism is the dominant theory of mental states in modern
philosophy.

....introducing a red herring that stinks; you deliberately
misinterpreted a word I used.


Functionalism was developed as an answer to the mind-body problem
because of objections to both identity theory and logical behaviourism.
Its core idea is that the mental states can be accounted for without
taking into account the underlying physical medium (the neurons),
instead attending to higher-level functions such as beliefs, desires,
and emotions.

That sounds like a complete waste of time.


According to functionalism, the mental states that make up
consciousness can essentially be defined as complex interactions
between different functional processes.

Because these processes are not limited to a particular physical state
or physical medium,

But the processes are limited to the physical.

.. they can be realized in multiple ways, including,
theoretically, within non-biological systems.

This affords consciousness the opportunity to exist in non-human minds.
According to some materialist views of consciousness, only a biological
human brain was capable of consciousness.

Everything that consciousness was, the argument went, was surely unique
to and could be traced to a particular center of the biological human
brain. However, it has been shown that that the human brain has
"functional plasticity" such that people with as much as half of their
brains removed during early infancy apparently can develop into adults
whose behavior cannot be distinguished from other adults with all of
their original brain intact.

Sheesh! These people need to get out and work on farm for ten
years.
/BAH
Subtract a hundred and four for e-mail.
.
User: "Acme Diagnostics"

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 25 May 2005 06:41:02 PM
wrote:

In article <1116858144.075415.255720@g43g2000cwa.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:

wrote:

In article <1116811750.087698.54780@g14g2000cwa.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:



Everything that consciousness was, the argument went, was surely unique
to and could be traced to a particular center of the biological human
brain. However, it has been shown that that the human brain has
"functional plasticity" such that people with as much as half of their
brains removed during early infancy apparently can develop into adults
whose behavior cannot be distinguished from other adults with all of
their original brain intact.


Sheesh! These people need to get out and work on farm for ten
years.

They'd see that some psychological (and neurological) theories
are udderly ridiculous in context of AI, a result of moodled
thinking.
.
User: ""

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 26 May 2005 07:56:35 AM
In article <42950ccc$0$50269$bb4e3ad8@newscene.com>,
"Acme Diagnostics" <LFinezapthis@partpostmark.net> wrote:


jmfbahciv@aol.com wrote:

In article <1116858144.075415.255720@g43g2000cwa.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:

jmfbahciv@aol.com wrote:

In article <1116811750.087698.54780@g14g2000cwa.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:



Everything that consciousness was, the argument went, was surely unique
to and could be traced to a particular center of the biological human
brain. However, it has been shown that that the human brain has
"functional plasticity" such that people with as much as half of their
brains removed during early infancy apparently can develop into adults
whose behavior cannot be distinguished from other adults with all of
their original brain intact.


Sheesh! These people need to get out and work on farm for ten
years.


They'd see that some psychological (and neurological) theories
are udderly ridiculous in context of AI, a result of moodled
thinking.

Oh, <groan>. I'm not very good at batting lines back over the
net. I do seem to start a lot of pun matches :-).
/BAH
Subtract a hundred and four for e-mail.
.


User: "Immortalist"

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 24 May 2005 04:26:47 PM

Nope. There is no evidence that this description is about a duck.
My response indicated that such a marketing ploy is not effective.
Yet you still keep trying by....

Functionalism


....introducing a red herring that stinks; you deliberately
misinterpreted a word I used.


If a Red Herring is a fallacy in which an irrelevant topic is presented
in order to divert attention from the original issue, the basic idea
being to "win" an argument by leading attention away from the argument
and to another topic, having the following form: Topic A is under
discussion; Topic B is introduced under the guise of being relevant to
topic A (when topic B is actually not relevant to topic A); Topic A is
abandoned, changing the topic of discussion hardly counts as an
argument against a claim, and you mention "function" in a way that
appears to a be a "distinction without a difference," then how have you
determined that it was my (will) to do such a thing.
It seems that the entire argument does in fact show paralells to the
duck argument and also the "Chinese Room" argument as well; as long as
the function meets the criteria processes.
http://www.nizkor.org/features/fallacies/index.html#index
Chinese room

From Wikipedia,

the free encyclopedia.
The Chinese room argument is a thought experiment designed by John
Searle (1980) to debunk the stronger claims made by strong AI (also
functionalism).
A belief of strong AI is that if a machine were to pass a Turing test,
then it can be regarded as "thinking" in the same sense as human
thought. Or put another way, proponents of strong AI hold that the
human brain is a computer (of a sort) and the mind nothing more than a
program. Adherents to this idea believe furthermore that systems
demonstrating these abilities help us to explain human thought. A third
belief, necessary to the first two, is that the biological material
present in the brain is not necessary for thought. Searle summarizes
this viewpoint, which he opposes, in this manner:
The computer is not merely a tool in the study of the mind; rather, the
appropriately programmed computer really is a mind, in a sense that
computers given the right programs can be literally said to understand
and have other cognitive states. (Hofstadter and Dennett, 353)
Contents
1 Thought experiment
2 Formal argument
3 Criticism
3.1 The systems reply
3.2 The robot reply
4 Related works
Thought experiment
In the Chinese room thought experiment, a person who understands no
Chinese sits in a room into which written Chinese characters are
passed. In the room there is also a book containing a complex set of
rules (established ahead of time) to manipulate these characters, and
pass other characters out of the room. This would be done on a rote
basis, eg. "When you see character X, write character Y". The idea is
that a Chinese-speaking interviewer would pass questions written in
Chinese into the room, and the corresponding answers would come out of
the room appearing from the outside as if there were a native Chinese
speaker in the room.
It is Searle's belief that such a system could indeed pass a Turing
Test, yet the person who manipulated the symbols would obviously not
understand Chinese any better than he did before entering the room.
Searle tries to refute the claims of strong AI one at a time, by
positioning himself as the one who manipulates the Chinese symbols. The
Chinese room assails two claims of Strong AI. The first claim is that a
system which can pass the Turing test understands the input and output.
Searle replies that as the "computer" in the Chinese room, he gains no
understanding of Chinese by simply manipulating the symbols according
to the formal program, in this case being the complex rules. The
operator of the room need not have any understanding of what the
interviewer is asking, or the replies that he is producing. He may not
even know that there is a question and answer session going on outside
the room.
The second claim of strong AI which Searle objects to is the claim that
the system explains human understanding. Searle asserts that since the
system is functioning, in this case passing the Turing Test, and yet
there is no understanding on the part of the operator, then the system
does not understand and therefore could not explain human
understanding.
The core of Searle's argument is the distinction between syntax and
semantics. The room is able to shuffle characters according to the rule
book. That is, the room's behaviour can be described as following
syntactical rules. But in Searle's account it does not know the meaning
of what it has done; that is, it has no semantic content. The
characters do not even count as symbols because they are not
interpreted at any stage of the process.
The fact that syntax is insufficient to account for semantics is
perhaps not as controversial as understanding what needs to be added to
syntax in order to account for semantics. Searle lists consciousness,
intentionality, subjectivity and mental causation as candidates. Any
adequate theory of the mind must be able to explain intentional states.
Searle is at pains to point out that the mind is a result of brain
function. He rejects dualism, insisting that mental states are
biological phenomena.
Formal argument
In 1984 Searle produced a more formal version of the argument of which
the Chinese Room forms a part. He listed four premises:
Premise 1: Brains cause minds
Premise 2: Syntax is not sufficient for semantics
Premise 3: Computer programs are entirely defined by their formal,
syntactic structure
Premise 4: Minds have semantic content
The second premise is supposedly supported by the Chinese Room
argument, since Searle holds that the room follows only formal
syntactical rules, and does not "understand" Chinese.
Searle posits that these lead directly to three conclusions:
Conclusion 1: No computer program by itself is sufficient to give a
system a mind. Programs are not minds.
Conclusion 2: The way that brain functions cause minds cannot be solely
in virtue of running a computer program
Conclusion 3: Anything else that causes minds would have to have causal
powers at least equivalent to those of the brain
Searle describes this version as "excessively crude".
There has been considerable debate about whether this argument is
indeed valid. These discussions centre on the various ways in which the
premises can be parsed. One can read premise 3 as saying that computer
programs have syntactic but not semantic content, and so Premises 2, 3
and 4 validly lead to conclusion 1. This leads to debate as to the
origin of the semantic content of a computer program.
Criticism
There are many criticisms of Searle's argument. Most can be
categorized as either systems replies or robot replies.
The systems reply
Although the individual in the Chinese room does not understand
Chinese, perhaps the person and the room considered together as a
system, do. Searle's reply to this is that someone might in principle
memorise the rule book; they would then be able to interact as if they
understood Chinese, but would still just be following a set of rules,
with no understanding of the significance of the symbols they are
manipulating.
The robot reply
Suppose that instead of a room, the program was placed into a robot
that could wander around and interact with its environment. Surely then
it would be said to understand what it is doing? Searle's reply is to
suppose that, unbeknownst to the individual in the Chinese room, some
of the inputs he was receiving came directly from a camera mounted on a
robot, and some of the outputs were used to manipulate the arms and
legs of the robot. Nevertheless, the person in the room is still just
following the rules, and does not know what the symbols mean.
Suppose that the program instantiated in the rule book simulated in
fine detail the interaction of the neurons in the brain of a Chinese
speaker. Then surely the program must be said to understand Chinese?
Searle replies that such a simulation will not have reproduced the
important features of the brain-its causal and intentional states.
But what if a brain simulation were connected to the world in such a
way that it possessed the causal power of a real brain-perhaps linked
to a robot of the type described above? Then surely it would be able to
think. Searle agrees that it is in principle possible to create an
artificial intelligence, but points out that such a machine would have
to have the same causal powers as a brain. It would be more than just a
computer program.
http://en.wikipedia.org/wiki/Chinese_room

But the processes are limited to the physical.

What would the necessary conditions be for a process not being
physical, if you claim to concieve of such prcesses?
let the phone kill and eat your worthless computer locs;
http://images.google.com/images?q=pocket+pc+phone
.
User: ""

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 25 May 2005 04:57:18 AM
In article <1116970007.329627.167950@o13g2000cwo.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:


Nope. There is no evidence that this description is about a duck.
My response indicated that such a marketing ploy is not effective.
Yet you still keep trying by....


Functionalism


....introducing a red herring that stinks; you deliberately
misinterpreted a word I used.



If a Red Herring is a fallacy in which an irrelevant topic is presented
in order to divert attention from the original issue, the basic idea
being to "win" an argument by leading attention away from the argument
and to another topic, having the following form: Topic A is under
discussion; Topic B is introduced under the guise of being relevant to
topic A (when topic B is actually not relevant to topic A); Topic A is
abandoned, changing the topic of discussion hardly counts as an
argument against a claim, and you mention "function" in a way that
appears to a be a "distinction without a difference," then how have you
determined that it was my (will) to do such a thing.

I have a good nose for *****.


It seems that the entire argument does in fact show paralells to the
duck argument and also the "Chinese Room" argument as well; as long as
the function meets the criteria processes.

http://www.nizkor.org/features/fallacies/index.html#index

Chinese room

From Wikipedia,

the free encyclopedia.

The Chinese room argument is a thought experiment

Did he do the experiment? The problem with the kids in this
thread is that all they are doing is "thought experiments"
with no basis of fact. There is a trend of diminishing
knowledge which is caused by people who have been trained
that, if they can think of X, then X is possible to make;
the only thing required is somebody else to do the work.

..designed by John
Searle (1980) to debunk the stronger claims made by strong AI (also
functionalism).

A belief of strong AI is that if a machine were to pass a Turing test,
then it can be regarded as "thinking" in the same sense as human
thought.

We were just talking about Turing tests and the instances when
the human was categorized the computer. Turing testing has
been taken all out of proportion than the originator spec'ed.

.. Or put another way, proponents of strong AI hold that the
human brain is a computer (of a sort) and the mind nothing more than a
program.

AFAICT, this piece is an attempt to explain how the _cognitive_
piece of the brain works. I have not run across any AI people
(I'm talking about real AI people) who even think that a human
brain is only a computing device.

.. Adherents to this idea believe furthermore that systems
demonstrating these abilities help us to explain human thought. A third
belief, necessary to the first two, is that the biological material
present in the brain is not necessary for thought.

Who are these people? Failed psychiatricts?

..Searle summarizes
this viewpoint, which he opposes, in this manner:

The computer is not merely a tool in the study of the mind; rather, the
appropriately programmed computer really is a mind, in a sense that
computers given the right programs can be literally said to understand
and have other cognitive states. (Hofstadter and Dennett, 353)

And what is the context in which this statement is written?


Contents
1 Thought experiment
2 Formal argument
3 Criticism
3.1 The systems reply
3.2 The robot reply
4 Related works

Thought experiment

In the Chinese room thought experiment, a person who understands no
Chinese sits in a room into which written Chinese characters are
passed. In the room there is also a book containing a complex set of
rules (established ahead of time) to manipulate these characters, and
pass other characters out of the room. This would be done on a rote
basis, eg. "When you see character X, write character Y". The idea is
that a Chinese-speaking interviewer would pass questions written in
Chinese into the room, and the corresponding answers would come out of
the room appearing from the outside as if there were a native Chinese
speaker in the room.

It is Searle's belief that such a system could indeed pass a Turing
Test, yet the person who manipulated the symbols would obviously not
understand Chinese any better than he did before entering the room.
Searle tries to refute the claims of strong AI one at a time, by
positioning himself as the one who manipulates the Chinese symbols. The
Chinese room assails two claims of Strong AI. The first claim is that a
system which can pass the Turing test understands the input and output.
Searle replies that as the "computer" in the Chinese room, he gains no
understanding of Chinese by simply manipulating the symbols according
to the formal program, in this case being the complex rules.

Then he's very, very stupid if he doesn't figure out some Chinese.

.. The
operator of the room need not have any understanding of what the
interviewer is asking, or the replies that he is producing. He may not
even know that there is a question and answer session going on outside
the room.

If this person Searle claims that he would obey the rules all
of the time, then he has absolutely no concept of how people
work. A human would eventually figure out what was going
on. A bored human would sabotage the process. Hell, even
a horse will start to play games. They get bored very quickly.


The second claim of strong AI which Searle objects to is the claim that
the system explains human understanding. Searle asserts that since the
system is functioning, in this case passing the Turing Test, and yet
there is no understanding on the part of the operator, then the system
does not understand and therefore could not explain human
understanding.

The core of Searle's argument is the distinction between syntax and
semantics. The room is able to shuffle characters according to the rule
book. That is, the room's behaviour can be described as following
syntactical rules. But in Searle's account it does not know the meaning
of what it has done; that is, it has no semantic content. The
characters do not even count as symbols because they are not
interpreted at any stage of the process.

But these symbols are interpreted at each step of the process!
Just because the interpretation isn't done in English ASCII
does not mean that none exists.


The fact that syntax is insufficient to account for semantics is
perhaps not as controversial as understanding what needs to be added to
syntax in order to account for semantics. Searle lists consciousness,
intentionality, subjectivity and mental causation as candidates. Any
adequate theory of the mind must be able to explain intentional states.
Searle is at pains to point out that the mind is a result of brain
function.

Plus its input, plus its output. Does he accept that animals
have a mind?

.. He rejects dualism, insisting that mental states are
biological phenomena.

Formal argument

In 1984 Searle produced a more formal version of the argument of which
the Chinese Room forms a part. He listed four premises:

Premise 1: Brains cause minds

Premise 2: Syntax is not sufficient for semantics

Premise 3: Computer programs are entirely defined by their formal,
syntactic structure

This is a very bad premise since a lot of them are not entirely
defined by their syntactic structure. The man needs to learn
about electronics, machine code (the real kind) and system interrupts.


Premise 4: Minds have semantic content
The second premise is supposedly supported by the Chinese Room
argument, since Searle holds that the room follows only formal
syntactical rules, and does not "understand" Chinese.

And isn't a realistic example of how people think. Only a
machine could function according to spec in his Chinese room.


Searle posits that these lead directly to three conclusions:

Conclusion 1: No computer program by itself is sufficient to give a
system a mind. Programs are not minds.

Conclusion 2: The way that brain functions cause minds cannot be solely
in virtue of running a computer program

Conclusion 3: Anything else that causes minds would have to have causal
powers at least equivalent to those of the brain
Searle describes this version as "excessively crude".

Seale also needs to work as an operator at an old fashioned
mainframe installation. Each computer takes on behaviorial
characteristics that are a kind of conglomeration of its users.
Each OS that man has implemented and evovled demonstrates the
philosophies of its developers over time.
Seale cannot separate a computer program from its human authors.
Each computer language was spec'ed to satisfy a set of goals.
If a thingie was a detriment to any goal, a trade-off was
decided.


There has been considerable debate about whether this argument is
indeed valid. These discussions centre on the various ways in which the
premises can be parsed. One can read premise 3 as saying that computer
programs have syntactic but not semantic content, and so Premises 2, 3
and 4 validly lead to conclusion 1. This leads to debate as to the
origin of the semantic content of a computer program.

The argument has misnomers and incorrect assumptions. It is
not correct for the reasons given. If it is correct, the
conclusion was predetermined and backended into the "facts".


Criticism

There are many criticisms of Searle's argument. Most can be
categorized as either systems replies or robot replies.

The systems reply

Although the individual in the Chinese room does not understand
Chinese, perhaps the person and the room considered together as a
system, do. Searle's reply to this is that someone might in principle
memorise the rule book; they would then be able to interact as if they
understood Chinese, but would still just be following a set of rules,
with no understanding of the significance of the symbols they are
manipulating.

The robot reply

Suppose that instead of a room, the program was placed into a robot
that could wander around and interact with its environment. Surely then
it would be said to understand what it is doing? Searle's reply is to
suppose that, unbeknownst to the individual in the Chinese room, some
of the inputs he was receiving came directly from a camera mounted on a
robot, and some of the outputs were used to manipulate the arms and
legs of the robot. Nevertheless, the person in the room is still just
following the rules, and does not know what the symbols mean.

The man needs to sit down and listen to a developer who knows
what he's doing. Most of our OS bugs were black boxes; it took
a bit god (who is the person occupying that Chinese room) to
figure out what the patterns passing through the room means.


Suppose that the program instantiated in the rule book simulated in
fine detail the interaction of the neurons in the brain of a Chinese
speaker. Then surely the program must be said to understand Chinese?
Searle replies that such a simulation will not have reproduced the
important features of the brain-its causal and intentional states.

But what if a brain simulation were connected to the world in such a
way that it possessed the causal power of a real brain-perhaps linked
to a robot of the type described above? Then surely it would be able to
think. Searle agrees that it is in principle possible to create an
artificial intelligence, but points out that such a machine would have
to have the same causal powers as a brain. It would be more than just a
computer program.

http://en.wikipedia.org/wiki/Chinese_room

But the processes are limited to the physical.


What would the necessary conditions be for a process not being
physical, if you claim to concieve of such prcesses?

I claim? You are the one mishmashing that the mind is separate
from the physical. Minds cannot be separated from the
physical.


let the phone kill and eat your worthless computer locs;

Huh?

http://images.google.com/images?q=pocket+pc+phone

/BAH
Subtract a hundred and four for e-mail.
.
User: "Immortalist"

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 27 May 2005 09:05:57 AM

human brain is a computer (of a sort) and the mind nothing more than a
program.


AFAICT, this piece is an attempt to explain how the _cognitive_
piece of the brain works. I have not run across any AI people
(I'm talking about real AI people) who even think that a human
brain is only a computing device.

If an analogy is comparison between two different things, in order to
highlight some form of similarity and an inference that if things agree
in some respects they probably agree in others drawing a comparison in
order to show a similarity in some respect and drawing a comparison in
order to show a similarity in some respect; "the operation of a
computer presents and interesting analogy to the working of the brain";
"the models show by analogy how matter is built up," Then it seems
computers are only a small sub-set of possible processes that emulate
computation.
http://tinyurl.com/8adpx

.. Adherents to this idea believe furthermore that systems
demonstrating these abilities help us to explain human thought. A third
belief, necessary to the first two, is that the biological material
present in the brain is not necessary for thought.


Who are these people? Failed psychiatricts?

Some but not all, since there are usually some "failed people" in about
any area, work or idea wise.
One goal in this area is to find out how far computers can go in
imitating the computational activities of the brain. Even subjective
experience computations like your having now.


..Searle summarizes
this viewpoint, which he opposes, in this manner:

The computer is not merely a tool in the study of the mind; rather, the
appropriately programmed computer really is a mind, in a sense that
computers given the right programs can be literally said to understand
and have other cognitive states. (Hofstadter and Dennett, 353)


And what is the context in which this statement is written?


A sufficient simulation is indistinguisable from the observed
processes.

Then he's very, very stupid if he doesn't figure out some Chinese.

The point that he need not understand to make the people outside the
room have a hard time telling whether he does or does not understand
Chinese.

.. The
operator of the room need not have any understanding of what the
interviewer is asking, or the replies that he is producing. He may not
even know that there is a question and answer session going on outside
the room.


If this person Searle claims that he would obey the rules all
of the time, then he has absolutely no concept of how people
work. A human would eventually figure out what was going
on. A bored human would sabotage the process. Hell, even
a horse will start to play games. They get bored very quickly.


How would tell whether the person knew chinese? Even if the participant
understood chines the bored may believe he didn't know chinese.

But these symbols are interpreted at each step of the process!
Just because the interpretation isn't done in English ASCII
does not mean that none exists.

Once we learn to design computers that work like the brain's style of
computation they may run into the same problem.



The fact that syntax is insufficient to account for semantics is
perhaps not as controversial as understanding what needs to be added to
syntax in order to account for semantics. Searle lists consciousness,
intentionality, subjectivity and mental causation as candidates. Any
adequate theory of the mind must be able to explain intentional states.
Searle is at pains to point out that the mind is a result of brain
function.


Plus its input, plus its output. Does he accept that animals
have a mind?

Probably if he has dogs or cats.
My belief is that the self is identical to the ongoing activities of
the brain. Not the brain but the self is the activities of the brain.
Any ambiguous language has that interpretation behind it.

.. He rejects dualism, insisting that mental states are
biological phenomena.




Formal argument

In 1984 Searle produced a more formal version of the argument of which
the Chinese Room forms a part. He listed four premises:

Premise 1: Brains cause minds

Premise 2: Syntax is not sufficient for semantics

Premise 3: Computer programs are entirely defined by their formal,
syntactic structure


This is a very bad premise since a lot of them are not entirely
defined by their syntactic structure. The man needs to learn
about electronics, machine code (the real kind) and system interrupts.

I think I agree.


Premise 4: Minds have semantic content
The second premise is supposedly supported by the Chinese Room
argument, since Searle holds that the room follows only formal
syntactical rules, and does not "understand" Chinese.


And isn't a realistic example of how people think. Only a
machine could function according to spec in his Chinese room.

How would you be able to tell if it was a human or a computer?


Searle posits that these lead directly to three conclusions:

Conclusion 1: No computer program by itself is sufficient to give a
system a mind. Programs are not minds.

Conclusion 2: The way that brain functions cause minds cannot be solely
in virtue of running a computer program

Conclusion 3: Anything else that causes minds would have to have causal
powers at least equivalent to those of the brain
Searle describes this version as "excessively crude".


Seale also needs to work as an operator at an old fashioned
mainframe installation. Each computer takes on behaviorial
characteristics that are a kind of conglomeration of its users.
Each OS that man has implemented and evovled demonstrates the
philosophies of its developers over time.

Seale cannot separate a computer program from its human authors.
Each computer language was spec'ed to satisfy a set of goals.
If a thingie was a detriment to any goal, a trade-off was
decided.


How could evolution discover the computations that produce my sense of
being right now?

There has been considerable debate about whether this argument is
indeed valid. These discussions centre on the various ways in which the
premises can be parsed. One can read premise 3 as saying that computer
programs have syntactic but not semantic content, and so Premises 2, 3
and 4 validly lead to conclusion 1. This leads to debate as to the
origin of the semantic content of a computer program.


The argument has misnomers and incorrect assumptions. It is
not correct for the reasons given. If it is correct, the
conclusion was predetermined and backended into the "facts".

Evolution simply discovered contingency plans which are like programs
or instincts.


Criticism

There are many criticisms of Searle's argument. Most can be
categorized as either systems replies or robot replies.

The systems reply

Although the individual in the Chinese room does not understand
Chinese, perhaps the person and the room considered together as a
system, do. Searle's reply to this is that someone might in principle
memorise the rule book; they would then be able to interact as if they
understood Chinese, but would still just be following a set of rules,
with no understanding of the significance of the symbols they are
manipulating.

The robot reply

Suppose that instead of a room, the program was placed into a robot
that could wander around and interact with its environment. Surely then
it would be said to understand what it is doing? Searle's reply is to
suppose that, unbeknownst to the individual in the Chinese room, some
of the inputs he was receiving came directly from a camera mounted on a
robot, and some of the outputs were used to manipulate the arms and
legs of the robot. Nevertheless, the person in the room is still just
following the rules, and does not know what the symbols mean.


The man needs to sit down and listen to a developer who knows
what he's doing. Most of our OS bugs were black boxes; it took
a bit god (who is the person occupying that Chinese room) to
figure out what the patterns passing through the room means.


A possibility discovered by the bit god. It could have been discovered
in other ways if it was always possible.

Suppose that the program instantiated in the rule book simulated in
fine detail the interaction of the neurons in the brain of a Chinese
speaker. Then surely the program must be said to understand Chinese?
Searle replies that such a simulation will not have reproduced the
important features of the brain-its causal and intentional states.

But what if a brain simulation were connected to the world in such a
way that it possessed the causal power of a real brain-perhaps linked
to a robot of the type described above? Then surely it would be able to
think. Searle agrees that it is in principle possible to create an
artificial intelligence, but points out that such a machine would have
to have the same causal powers as a brain. It would be more than just a
computer program.


http://en.wikipedia.org/wiki/Chinese_room


But the processes are limited to the physical.


What would the necessary conditions be for a process not being
physical, if you claim to concieve of such prcesses?


I claim? You are the one mishmashing that the mind is separate
from the physical. Minds cannot be separated from the
physical.

You just claimed or counter-claimed again, you are making an assertion
which you seem to be able to provide evidence for.


let the phone kill and eat your worthless computer locs;


Huh?

I am on a pocket pc phone posting at google. Had to hack the user agent
string to fool google lol
Video killed the radio (first video MTV ever played)


http://images.google.com/images?q=pocket+pc+keyboard>

/BAH


Subtract a hundred and four for e-mail.

~~~~~~~~~~~~~~~~~~~~~
INFORMATION AND LIFE
~~~~~~~~~~~~~~~~~~~~~
(1)
A universal computer is indeed
universal and can emulate any process.
~~~~~~~~~~~~~~~~~~~~~
(2)
The essence of life is a process.
~~~~~~~~~~~~~~~~~~~~~
(3)
There exist criteria by which we
are able to distinguish living
from non-living things.
~~~~~~~~~~~~~~~~~~~~~~
Interlude A:
Accepting (1), (2), and (3) implies
the possibility of life in a computer.
~~~~~~~~~~~~~~~~~~~~~~
LIFE AND REALITY
~~~~~~~~~~~~~~~~~~~~~~
(4)
If somebody manages to develop life in
a computer environment, which satisfies (3),
it follows from (2) that these life-forms
are just as much alive as you and I.
~~~~~~~~~~~~~~~~~~~~~~
(5)
Such an artificial organism must perceive a
reality (R2), which for itself is just as real
as our "real" reality (R1) is for us.
~~~~~~~~~~~~~~~~~~~~~~
(6)
From (5) we conclude that (R1) and (R2) has the same ontological
status. Although (R2) in a material way is embedded in (R1), (R2) is
independent of (R1).
~~~~~~~~~~~~~~~~~~~~~~
REALITY AND PHYSICS
~~~~~~~~~~~~~~~~~~~~~~
(7)
If (R1) and (R2) have the same ontological status it might be possible
to learn something about the fundamental properties of realities in
general, and of (R1) in particular, by studying the details of
different (R2's). An example of such a property is the physics of
reality.
~~~~~~~~~~~~~~~~~~~~~~
http://tinyurl.com/bmloa
.
User: "Immortalist"

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 27 May 2005 09:32:43 AM
Immortalist



!Google !Rocks
http://tinyurl.com/8dfc8
~~~~~~~~~~~~~~~~~~~~~

INFORMATION AND LIFE
~~~~~~~~~~~~~~~~~~~~~
(1)
A universal computer is indeed
universal and can emulate any process.
~~~~~~~~~~~~~~~~~~~~~
(2)
The essence of life is a process.
~~~~~~~~~~~~~~~~~~~~~
(3)
There exist criteria by which we
are able to distinguish living
from non-living things.
~~~~~~~~~~~~~~~~~~~~~~
Interlude A:
Accepting (1), (2), and (3) implies
the possibility of life in a computer.
~~~~~~~~~~~~~~~~~~~~~~
LIFE AND REALITY
~~~~~~~~~~~~~~~~~~~~~~
(4)
If somebody manages to develop life in
a computer environment, which satisfies (3),
it follows from (2) that these life-forms
are just as much alive as you and I.
~~~~~~~~~~~~~~~~~~~~~~
(5)
Such an artificial organism must perceive a
reality (R2), which for itself is just as real
as our "real" reality (R1) is for us.
~~~~~~~~~~~~~~~~~~~~~~
(6)
From (5) we conclude that (R1) and (R2) has the same ontological
status. Although (R2) in a material way is embedded in (R1), (R2) is
independent of (R1).
~~~~~~~~~~~~~~~~~~~~~~
REALITY AND PHYSICS
~~~~~~~~~~~~~~~~~~~~~~
(7)
If (R1) and (R2) have the same ontological status it might be possible
to learn something about the fundamental properties of realities in
general, and of (R1) in particular, by studying the details of
different (R2's). An example of such a property is the physics of
reality.
~~~~~~~~~~~~~~~~~~~~~~

http://tinyurl.com/bmloa

http://tinyurl.com/8dfc8
.
User: ""

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 28 May 2005 05:15:57 AM
In article <1117204363.291196.167570@o13g2000cwo.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:

Immortalist




!Google !Rocks
http://tinyurl.com/8dfc8
~~~~~~~~~~~~~~~~~~~~~

INFORMATION AND LIFE
~~~~~~~~~~~~~~~~~~~~~
(1)
A universal computer is indeed
universal and can emulate any process.
~~~~~~~~~~~~~~~~~~~~~
(2)
The essence of life is a process.
~~~~~~~~~~~~~~~~~~~~~
(3)
There exist criteria by which we
are able to distinguish living
from non-living things.
~~~~~~~~~~~~~~~~~~~~~~
Interlude A:
Accepting (1), (2), and (3) implies
the possibility of life in a computer.
~~~~~~~~~~~~~~~~~~~~~~
LIFE AND REALITY
~~~~~~~~~~~~~~~~~~~~~~
(4)
If somebody manages to develop life in
a computer environment, which satisfies (3),
it follows from (2) that these life-forms
are just as much alive as you and I.
~~~~~~~~~~~~~~~~~~~~~~
(5)
Such an artificial organism must perceive a
reality (R2), which for itself is just as real
as our "real" reality (R1) is for us.
~~~~~~~~~~~~~~~~~~~~~~
(6)
From (5) we conclude that (R1) and (R2) has the same ontological
status. Although (R2) in a material way is embedded in (R1), (R2) is
independent of (R1).
~~~~~~~~~~~~~~~~~~~~~~
REALITY AND PHYSICS
~~~~~~~~~~~~~~~~~~~~~~
(7)
If (R1) and (R2) have the same ontological status it might be possible
to learn something about the fundamental properties of realities in
general, and of (R1) in particular, by studying the details of
different (R2's). An example of such a property is the physics of
reality.
~~~~~~~~~~~~~~~~~~~~~~

http://tinyurl.com/bmloa


http://tinyurl.com/8dfc8

I can't webbit. Are people really getting taught this
crap? Or is this just some blatherings of the internet?
/BAH
Subtract a hundred and four for e-mail.
.
User: "Immortalist"

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 28 May 2005 12:08:32 PM

(6)
From (5) we conclude that (R1) and (R2) has the same ontological
status. Although (R2) in a material way is embedded in (R1), (R2) is
independent of (R1).
~~~~~~~~~~~~~~~~~~~~ http://tinyurl.com/bmloa


http://tinyurl.com/8dfc8


I can't webbit. Are people really getting taught this
crap? Or is this just some blatherings of the internet?

Artificial Life is a field of scientific study that attempts to model
living biological systems through complex algorithms. Scientists use
these models to test and experiment with a multitude of factors on the
behavior of the systems.
http://alife.fusebox.com/
If you want to understand life - build it. If you want to prove a
theory - use it. That's what separates artificial life (alife) from
other theories of life, it's about constant demonstration and
experimentation. You'll find alife can be applied to any system, from
politics to blood. Artificial life was born in about 1987 by combining
many already existing fields and is making it's way through modern
thinking. ...could claim to be the most realist explanation of life.
http://www.stewdean.com/alife/
(The quote comes from this book)
The effort to create artificial life is occurring primarily within
computer science, although it brings together physicists,
microbiologists, mathematicians, ethologists, and others in addition to
computer scientists. The computer's ability to simulate system
development is being generalized to study evolution and reproduction.
Neural networks, while also used for applications other than artificial
life simulation, are the primary form considered.
Steven Levy - Artificial Life: The Quest for a New Creation Pantheon,
1992
http://www.amazon.com/exec/obidos/ASIN/0679743898/
Artificial Life: A Report from the Frontier Where Computers Meet
Biology
A LOOK INTO THE FIELD SOME RESEARCHESRS
SAY WILL LEAD TO THE NEXT STEP IN
EVOLUTION ON EARTH.
Artificial intelligence (AI) is one of the most publicly-discussed
fields of computing. Artificial life (A-Life), on the other hand, is a
field of computing much less known to the general public, even though
it has some very interesting aspects. For example, while very few
philosophers will claim that any glimpse of true intelligence exists in
any program written so far, there are quite a few biologists that refer
to already-existing programs as "life forms".
True, biologists have no unanimous agreement on the definition of life
(just as philosophers have no agreement on the definition of
intelligence). But as Chris Langton, one of the pioneers of A-Life,
once said, "any definition or list of criteria broad enough to include
all known biological life will also include certain classes of computer
processes, which, therefore, will have to be considered 'actually'
alive."
Steven Levy's book on artificial life provides a nice introduction to
the field. It begins with a review of the field's history, from the
early suggestions made by John von Neumann and John Conway's "Game of
Life" all the way to current efforts.
"There is something about the life process that's creating this endless
stream of diverse complex forms, and it's that process that I really
want to get a handle on."
--Norman Packard
John Conway's "Life" presents the first blooming of the field. It is a
program that most programmers had written at least once, to enjoy its
beauty while appreciating its simplicity. This beauty-out-of-simplicity
is one of the cruxes of the whole field: bottom-up complexity. The idea
is that simple mechanisms at the lower levels of design result in
complex results on a higher level, often without the designer having
any direct control on the higher-level results. (Just think how hard it
is to plan things ahead in an initial configuration of a game of Life.)
A-life researches, as well as many biologists, believe that bottom-up
complexity has a very large role in many mechanisms of natural life.
For example, by using a very simple and minimalistic set of rules to
guide simulated birds ("boids") in a simulated universe, researcher
Craig Reynolds was able to re-create bird flocking patterns that appear
in nature. Every bird had information only about itself and the birds
immediately near it, and no information about the rest of the flock;
yet the resulting "emergent behavior" was that of a harmonized flock.
In a similar manner, Chris Langton was able to re-create some ant
behavior in his "vants" (virtual ants). Without having a "manager" ant
handing out task lists every mornings, ants -- both in nature and in
Langton's simulation -- are able to run a "community".
And while many A-Life "experiments" are attempts to re-create aspects
of nature, other experiments have proved to be useful tools for proving
theories in biology. For example, experiments by David Ackley provide
suggestive evidence (but naturally no "proof") for the Baldwin Effect
theory in evolution.
Mitchel Resnick's own epiphany occurred at a children's LEGO-Logo
workshop on constructing creatures. One project entailed writing a
program to enable a creature to follow a line drawn on the ground. "We
wrote the program and it was following this line," recalls Resnick.
"And all of a sudden it struck me that I had no idea what was going to
happen when it reached the end of the line.
We'd written the program, but we didn't take that into account. I
didn't have time to think about what it might do, so I just watched it.
When it got to the end of the line, it turned around and started
following the line in the other direction! If we had planned for it to
do something, that would have been the ideal thing for it to do.
You'll never think about your Lego MindStorm creatures in the same way
again.
While Levy describes many such computer experiments, readers that
happen to be programmers (and I suspect they form a large portion of
Levy's readership) will find that the book whets their appetite,
without satisfying it: the program descriptions provide enough details
to understand what the program does, but never enough details to
recreate it -- which is a great miss, I believe.
In one place, though, this lack of information is a good thing. No
discussion of artificial life would be complete without mentioning
computer viruses, and the last chapter does just that. It begins by
describing A. K. Dewdney's "Core Wars" and MARS system, where
programmers wrote programs that fought each other in virtual arenas,
and leads to the current reality of computer viruses, some of which,
the author suspects, will never be extinct until the platform for which
they are written (DOS, in most cases) is completely forgotten.
During the last chapter, Levy also discusses the suggestion of several
researchers, that predict A-Life creatures will eventually inherit the
earth, replacing us humans as the next step in evolution. While the
discussion is academically interesting, Levy sometimes drifts into
sensationalism, which is a pity.
=A91997-2000 by Tal Cohen
http://www.forum2.org/tal/books/alife.html

/BAH
=20
=20
Subtract a hundred and four for e-mail.

.
User: "Guy Macon"

Title: Re: What Deep Blue showed... 28 May 2005 12:48:28 PM
Immortalist wrote:

Artificial Life is a field of scientific study that attempts to model
living biological systems through complex algorithms. Scientists use
these models to test and experiment with a multitude of factors on the
behavior of the systems.

I am waiting to see if some form of Artificial Life/Intelligence develops
the ability to tell someone who programs 4-bit microcontrollers for a
living that he "only understands high level languages" or that tells
someone who has designed bit slice processors that he "doesn't understand
hardware." <grin>
Is there a field of artificial stupidity? If so, we can replace certain
newsgroup participants with machines... :)
.

User: ""

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 29 May 2005 03:54:55 AM
In article <1117300112.280734.132080@g47g2000cwa.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:


(6)
From (5) we conclude that (R1) and (R2) has the same ontological
status. Although (R2) in a material way is embedded in (R1), (R2) is
independent of (R1).
~~~~~~~~~~~~~~~~~~~~ http://tinyurl.com/bmloa


http://tinyurl.com/8dfc8


I can't webbit. Are people really getting taught this
crap? Or is this just some blatherings of the internet?


Artificial Life is a field of scientific study that attempts to model
living biological systems through complex algorithms. Scientists use
these models to test and experiment with a multitude of factors on the
behavior of the systems.

AIUI, this is a simulation so that researchers can choose the
best fit. This app does not have the goal of implementing an AI.


http://alife.fusebox.com/

If you want to understand life - build it. If you want to prove a
theory - use it.

Oh, sigh! We aren't talking about math.

.. That's what separates artificial life (alife) from
other theories of life, it's about constant demonstration and
experimentation. You'll find alife can be applied to any system, from
politics to blood. Artificial life was born in about 1987 by combining
many already existing fields and is making it's way through modern
thinking. ...could claim to be the most realist explanation of life.

Oh, my. And your ***** meter didn't tingle?


http://www.stewdean.com/alife/

(The quote comes from this book)

The effort to create artificial life is occurring primarily within
computer science, although it brings together physicists,
microbiologists, mathematicians, ethologists, and others in addition to
computer scientists. The computer's ability to simulate system
development

I need a definition of their use of "system development" here.
It sounds like they are using a computing term to make smoke
and morph into a biological term.

.. is being generalized to study evolution and reproduction.
Neural networks, while also used for applications other than artificial
life simulation, are the primary form considered.

Steven Levy - Artificial Life: The Quest for a New Creation Pantheon,
1992
http://www.amazon.com/exec/obidos/ASIN/0679743898/
Artificial Life: A Report from the Frontier Where Computers Meet
Biology

You might try to read other books by Levy and determine his
blind spots...if this is the same Levy.


A LOOK INTO THE FIELD SOME RESEARCHESRS
SAY WILL LEAD TO THE NEXT STEP IN
EVOLUTION ON EARTH.

Evolution of what?!! My guess is that this is talking about
the next generation of computing and/or computers.


Artificial intelligence (AI) is one of the most publicly-discussed
fields of computing. Artificial life (A-Life), on the other hand, is a
field of computing much less known to the general public, even though
it has some very interesting aspects. For example, while very few
philosophers will claim that any glimpse of true intelligence exists in
any program written so far, there are quite a few biologists that refer
to already-existing programs as "life forms".

Oh, deary, deary me. This is exactly why I'm trying to get you
kids to _think_!


True, biologists have no unanimous agreement on the definition of life
(just as philosophers have no agreement on the definition of
intelligence). But as Chris Langton, one of the pioneers of A-Life,
once said, "any definition or list of criteria broad enough to include
all known biological life will also include certain classes of computer
processes, which, therefore, will have to be considered 'actually'
alive."

Humankind produced a name for this broad definition: Mother Nature.


Steven Levy's book on artificial life provides a nice introduction to
the field. It begins with a review of the field's history, from the
early suggestions made by John von Neumann and John Conway's "Game of
Life" all the way to current efforts.

"There is something about the life process that's creating this endless
stream of diverse complex forms, and it's that process that I really
want to get a handle on."
--Norman Packard

John Conway's "Life" presents the first blooming of the field. It is a
program that most programmers had written at least once, to enjoy its
beauty while appreciating its simplicity. This beauty-out-of-simplicity
is one of the cruxes of the whole field: bottom-up complexity. The idea
is that simple mechanisms at the lower levels of design result in
complex results on a higher level, often without the designer having
any direct control on the higher-level results.

Now go talk to anybody who has done more than one project in
OS development. I'll qualify this. An OS that is driven by
interrupts (software and hardware) and allows more than two
human users on at the same wallclock time.

..(Just think how hard it
is to plan things ahead in an initial configuration of a game of Life.)

A-life researches, as well as many biologists, believe that bottom-up
complexity has a very large role in many mechanisms of natural life.
For example, by using a very simple and minimalistic set of rules to
guide simulated birds ("boids") in a simulated universe, researcher
Craig Reynolds was able to re-create bird flocking patterns that appear
in nature. Every bird had information only about itself and the birds
immediately near it, and no information about the rest of the flock;
yet the resulting "emergent behavior" was that of a harmonized flock.
In a similar manner, Chris Langton was able to re-create some ant
behavior in his "vants" (virtual ants). Without having a "manager" ant
handing out task lists every mornings, ants -- both in nature and in
Langton's simulation -- are able to run a "community".

I would recommend a biography called _Boyd_, Robert Coram.
He worked on strategies
where most decisions are made at the lower level and based on
reactions to existing conditions. This is in contrast to top-down
management styles.
There is also a short scifi story by Isaac Asimov where a problem
has on Pluto and the solution is on Earth. The Earth base is
trying to figure out how to learn and send information that
is required to solve the problem. A female secretary says that
both ends should keep talking at each other. I'm still thinking
about this.


And while many A-Life "experiments" are attempts to re-create aspects
of nature, other experiments have proved to be useful tools for proving
theories in biology. For example, experiments by David Ackley provide
suggestive evidence (but naturally no "proof") for the Baldwin Effect
theory in evolution.

Mitchel Resnick's own epiphany occurred at a children's LEGO-Logo
workshop on constructing creatures. One project entailed writing a
program to enable a creature to follow a line drawn on the ground. "We
wrote the program and it was following this line," recalls Resnick.
"And all of a sudden it struck me that I had no idea what was going to
happen when it reached the end of the line.

We'd written the program, but we didn't take that into account. I
didn't have time to think about what it might do, so I just watched it.
When it got to the end of the line, it turned around and started
following the line in the other direction! If we had planned for it to
do something, that would have been the ideal thing for it to do.

You'll never think about your Lego MindStorm creatures in the same way
again.

I suggest you talk to serious OS people who have had many years
of experience in dealing with unknown situations and manage to
not lose data nor interrupt computing service delivery. This
guy showed that he was not [what we call] paranoid enough. No
decent developer would have forgotten about the end point.
I doubt if a spec would have been approved without an endpoint
dicussion.


While Levy describes many such computer experiments, readers that
happen to be programmers (and I suspect they form a large portion of
Levy's readership) will find that the book whets their appetite,

I can understand programmers getting interested; developers
experienced at the machine level (here we are back again to
hard-core reality) might not. I'm finding it interesting in
just observing what these people skip over in their thinking.

without satisfying it: the program descriptions provide enough details
to understand what the program does, but never enough details to
recreate it -- which is a great miss, I believe.

In one place, though, this lack of information is a good thing. No
discussion of artificial life would be complete without mentioning
computer viruses, and the last chapter does just that. It begins by
describing A. K. Dewdney's "Core Wars" and MARS system, where
programmers wrote programs that fought each other in virtual arenas,
and leads to the current reality of computer viruses, some of which,
the author suspects, will never be extinct until the platform for which
they are written (DOS, in most cases) is completely forgotten.

Hook, line, and sinker.


During the last chapter, Levy also discusses the suggestion of several
researchers, that predict A-Life creatures will eventually inherit the
earth, replacing us humans as the next step in evolution. While the
discussion is academically interesting, Levy sometimes drifts into
sensationalism, which is a pity.

Check how old Levy is. It sounds like he didn't survive his
"great bit gods I'm 40" mid-life crisis. There are few
people who still suffer from this and, because they did a clever
computing thing once in their younger years, are listened to
by foolish young (and old) things.


©1997-2000 by Tal Cohen
http://www.forum2.org/tal/books/alife.html

If this is what Levy wrote and the context of the whole book
is similar, he's gone completely wacko.
A good ***** test for all of this biological handwaving is
if smell is ever mentioned.
/BAH
Subtract a hundred and four for e-mail.
.
User: "Immortalist"

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 29 May 2005 03:12:52 PM


Steven Levy's book on artificial life provides a nice introduction to
the field. It begins with a review of the field's history, from the
early suggestions made by John von Neumann and John Conway's "Game of
Life" all the way to current efforts.

"There is something about the life process that's creating this endless
stream of diverse complex forms, and it's that process that I really
want to get a handle on."
--Norman Packard

John Conway's "Life" presents the first blooming of the field. It is a
program that most programmers had written at least once, to enjoy its
beauty while appreciating its simplicity. This beauty-out-of-simplicity
is one of the cruxes of the whole field: bottom-up complexity. The idea
is that simple mechanisms at the lower levels of design result in
complex results on a higher level, often without the designer having
any direct control on the higher-level results.


Now go talk to anybody who has done more than one project in
OS development. I'll qualify this. An OS that is driven by
interrupts (software and hardware) and allows more than two
human users on at the same wallclock time.


..(Just think how hard it
is to plan things ahead in an initial configuration of a game of Life.)

A-life researches, as well as many biologists, believe that bottom-up
complexity has a very large role in many mechanisms of natural life.
For example, by using a very simple and minimalistic set of rules to
guide simulated birds ("boids") in a simulated universe, researcher
Craig Reynolds was able to re-create bird flocking patterns that appear
in nature. Every bird had information only about itself and the birds
immediately near it, and no information about the rest of the flock;
yet the resulting "emergent behavior" was that of a harmonized flock.
In a similar manner, Chris Langton was able to re-create some ant
behavior in his "vants" (virtual ants). Without having a "manager" ant
handing out task lists every mornings, ants -- both in nature and in
Langton's simulation -- are able to run a "community".


I would recommend a biography called _Boyd_, Robert Coram.
He worked on strategies
where most decisions are made at the lower level and based on
reactions to existing conditions. This is in contrast to top-down
management styles.

Interesting, and I will goo-google the Yahoo.

There is also a short scifi story by Isaac Asimov where a problem
has on Pluto and the solution is on Earth. The Earth base is
trying to figure out how to learn and send information that
is required to solve the problem. A female secretary says that
both ends should keep talking at each other. I'm still thinking
about this.

In backcasting techniques (commonly used by professional futurists) a
model is built withholding the most recent data from the human managing
the model.
Once the system finds order in past data, say from the 1980s, it is fed
the record of the last several years. If it can accurately predict the
1993 outcome, based on what it found in the 1980s, then the pattern
seeker has won its wings. Farmer: "The system makes twenty models. We
run them each through a sieve of diagnostic statistics. Then the six of
us will get together to select the one to run live."
Each round of model-building may take days on the Company's computers.
But once local order is detected, a prediction based on it can be spun
in milliseconds.
http://tinyurl.com/afyux


And while many A-Life "experiments" are attempts to re-create aspects
of nature, other experiments have proved to be useful tools for proving
theories in biology. For example, experiments by David Ackley provide
suggestive evidence (but naturally no "proof") for the Baldwin Effect
theory in evolution.

Mitchel Resnick's own epiphany occurred at a children's LEGO-Logo
workshop on constructing creatures. One project entailed writing a
program to enable a creature to follow a line drawn on the ground. "We
wrote the program and it was following this line," recalls Resnick.
"And all of a sudden it struck me that I had no idea what was going to
happen when it reached the end of the line.

We'd written the program, but we didn't take that into account. I
didn't have time to think about what it might do, so I just watched it.
When it got to the end of the line, it turned around and started
following the line in the other direction! If we had planned for it to
do something, that would have been the ideal thing for it to do.

You'll never think about your Lego MindStorm creatures in the same way
again.


I suggest you talk to serious OS people who have had many years
of experience in dealing with unknown situations and manage to
not lose data nor interrupt computing service delivery. This
guy showed that he was not, what we call, paranoid enough. No
decent developer would have forgotten about the end point.
I doubt if a spec would have been approved without an endpoint
dicussion.

Hindsight Bias -knew it all along- This is the tendency of people with
the benefit of hindsight, to falsely believe they would have predicted
the outcome of an event.
This affects probability elicitation because once outcomes are
observed, the assessor may assume that they are the only outcomes that
could have happened and underestimate the uncertainty in the outcomes
that could have happened, but didn't.
By doing this we are preventing ourselves in future episodes, from
learning from the past.
Warning people of the dangers of this bias has little effect.
In hindsight we are anchored, and cannot truly reconstruct our
foresightful state of mind. It is better to argue against the
inevitability of the reported outcome and convince oneself that it
might have turned out otherwise.
It is said that hindsight is 20-20. According to new research,
hindsight
bias -- the way our impression of how we acted or would have acted
changes when we learn the outcome of an event -- is actually a
by-product of a cognitive mechanism that allows us to unclutter our
minds by discarding inaccurate information and embracing that which is
correct.
http://tinyurl.com/dku8h


While Levy describes many such computer experiments, readers that
happen to be programmers (and I suspect they form a large portion of
Levy's readership) will find that the book whets their appetite,


I can understand programmers getting interested; developers
experienced at the machine level (here we are back again to
hard-core reality) might not. I'm finding it interesting in
just observing what these people skip over in their thinking.

The more well informed the members of the audience are, the less likely
they are to be persuaded by a one-sided argument and the more likely
they are to be persuaded by an argument that brings out the important
opposing arguments and then proceeds to refute them.
This makes sense: A well-informed person is more likely to know some of
the counterarguments.
When the communicator avoids mentioning these, the knowledgeable
members of the audience are likely to conclude that the communicator is
either unfair or unable to refute such arguments.
On the other hand, an uninformed person is less apt to know of the
existence of opposing arguments.
If the counterargument is ignored, the less-informed members of the
audience are persuaded; if the counterargument is presented, they may
get confused.
http://tinyurl.com/cgwk8

without satisfying it: the program descriptions provide enough details
to understand what the program does, but never enough details to
recreate it -- which is a great miss, I believe.

In one place, though, this lack of information is a good thing. No
discussion of artificial life would be complete without mentioning
computer viruses, and the last chapter does just that. It begins by
describing A. K. Dewdney's "Core Wars" and MARS system, where
programmers wrote programs that fought each other in virtual arenas,
and leads to the current reality of computer viruses, some of which,
the author suspects, will never be extinct until the platform for which
they are written (DOS, in most cases) is completely forgotten.


Hook, line, and sinker.

Computer viruses that replicate the embryological process of division
and differentiation, growing into complete organisms?


During the last chapter, Levy also discusses the suggestion of several
researchers, that predict A-Life creatures will eventually inherit the
earth, replacing us humans as the next step in evolution. While the
discussion is academically interesting, Levy sometimes drifts into
sensationalism, which is a pity.


Check how old Levy is. It sounds like he didn't survive his
"great bit gods I'm 40" mid-life crisis. There are few
people who still suffer from this and, because they did a clever
computing thing once in their younger years, are listened to
by foolish young (and old) things.

Actually it is strange how this basic science magazine writer created
one of the best introductions to a generally recognized new science.


=A91997-2000 by Tal Cohen
http://www.forum2.org/tal/books/alife.html


If this is what Levy wrote and the context of the whole book
is similar, he's gone completely wacko.

A good ***** test for all of this biological handwaving is
if smell is ever mentioned.

Hook wires to nose nerves and stimulate them to smell with computers!
http://tinyurl.com/72hhd

/BAH
=20
Subtract a hundred and four for e-mail.

.
User: ""

Title: Re: What Deep Blue showed was that chess is not a game of true intelligence 30 May 2005 03:52:50 AM
In article <1117397572.377352.175040@g43g2000cwa.googlegroups.com>,
"Immortalist" <reanimater_2000@yahoo.com> wrote:


Steven Levy's book on artificial life provides a nice introduction to
the field. It begins with a review of the field's history, from the
early suggestions made by John von Neumann and John Conway's "Game of
Life" all the way to current efforts.

"There is something about the life process that's creating this endless
stream of diverse complex forms, and it's that process that I really
want to get a handle on."
--Norman Packard

John Conway's "Life" presents the first blooming of the field. It is a
program that most programmers had written at least once, to enjoy its
beauty while appreciating its simplicity. This beauty-out-of-simplicity
is one of the cruxes of the whole field: bottom-up complexity. The idea
is that simple mechanisms at the lower levels of design result in
complex results on a higher level, often without the designer having
any direct control on the higher-level results.


Now go talk to anybody who has done more than one project in
OS development. I'll qualify this. An OS that is driven by
interrupts (software and hardware) and allows more than two
human users on at the same wallclock time.


..(Just think how hard it
is to plan things ahead in an initial configuration of a game of Life.)

A-life researches, as well as many biologists, believe that bottom-up
complexity has a very large role in many mechanisms of natural life.
For example, by using a very simple and minimalistic set of rules to
guide simulated birds ("boids") in a simulated universe, researcher
Craig Reynolds was able to re-create bird flocking patterns that appear
in nature. Every bird had information only about itself and the birds
immediately near it, and no information about the rest of the flock;
yet the resulting "emergent behavior" was that of a harmonized flock.
In a similar manner, Chris Langton was able to re-create some ant
behavior in his "vants" (virtual ants). Without having a "manager" ant
handing out task lists every mornings, ants -- both in nature and in
Langton's simulation -- are able to run a "community".


I would recommend a biography called _Boyd_, Robert Coram.
He worked on strategies
where most decisions are made at the lower level and based on
reactions to existing conditions. This is in contrast to top-down
management styles.


Interesting, and I will goo-google the Yahoo.

When I talk about timesharing OSes that are event driven, I'm
talking about exactly this kind of decision making. No OS
can "predict" when, where, how many or combinations of keystrokes
will be produced by any set of users at any one time. Nor
can it predict when or if or how a disaster will occur. So the
code is event-driven. Depending on what happens, when it happens,
what order it happens, where it happens, will determine how
the system "runs".
Think about a computer system that can have thousands of users
doing unspeakable things, including determinedly trying to shoot
themselves in their foot. And this can happen at any time, in
any order, in any place. Yet these systems manage to remain
up, functional, and never stop delivering computing services.
There are timesharing systems in this world that have uptimes of years.
<snip>

You'll never think about your Lego MindStorm creatures in the same way
again.


I suggest you talk to serious OS people who have had many years
of experience in dealing with unknown situations and manage to
not lose data nor interrupt computing service delivery. This
guy showed that he was not, what we call, paranoid enough. No
decent developer would have forgotten about the end point.
I doubt if a spec would have been approved without an endpoint
dicussion.


Hindsight Bias -knew it all along- This is the tendency of people with
the benefit of hindsight, to falsely believe they would have predicted
the outcome of an event.

Oh, brother! You need to learn to never bite experience on the *****.
<snip>

In one place, though, this lack of information is a good thing. No
discussion of artificial life would be complete without mentioning
computer viruses, and the last chapter does just that. It begins by
describing A. K. Dewdney's "Core Wars" and MARS system, where
programmers wrote programs that fought each other in virtual arenas,
and leads to the current reality of computer viruses, some of which,
the author suspects, will never be extinct until the platform for which
they are written (DOS, in most cases) is completely forgotten.


Hook, line, and sinker.


Computer viruses that replicate the embryological process of division
and differentiation, growing i