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Science Forum Index » Cognitive Science Forum » embodiment of minimal self
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| Author |
Message |
| dan michaels |
Posted: Wed Feb 11, 2004 3:26 pm |
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Guest
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The following might be of interest to people interested in building
embodied AIs.
I found a reference in the following cog.sci paper to Tani's robotic
work, mentioned below. The approach involves recurrent NN's and
self-learning schemes, integration of bottom-up perception and
top-down "subjective" prediction processes, in a real robot in a
real-world environment. The philosophical citation is just for
reference. Tani's dynamical systems approach is the meat. This
approach attempts to obviate the need for the homunculus.
http://www2.canisius.edu/~gallaghr/tics2000.html
"Philosophical Conceptions of the Self: Implications for Cognitive
Science", Shaun Gallagher, 2000.
"... Tani (1998) explores the possibility of establishing an
artificial version of Strawson's minimal self in a machine ... Tani,
however, in contrast to Strawson, makes it clear that the robotic self
he is designing is the result of physical interaction between the
robotic body and its environment...."
-----------------
http://www.bdc.brain.riken.go.jp/~tani/
http://citeseer.nj.nec.com/tani98interpretation.html
"An Interpretation of the 'Self' From the Dynamical Systems
Perspective: A Constructivist Approach", Jun Tani, 1998.
"... This study attempts to describe the notion of the "self" using
dynamical systems language based on the results of our robot learning
experiments. A neural network model consisting of multiple modules is
proposed, in which the interactive dynamics between the bottom-up
perception and the top-down prediction are investigated...."
"... A difficulty exists in the embodiment of the higher cognitive
levels by means of the dynamical systems approach. The question is how
the dynamical systems approach can embody the complex subjective
processes without employing the AI scheme of symbolic representation
and manipulation. The key to solve the problem can be found in a
recent scheme developed in the field of artificial neural networks,
called recurrent neural network (RNN) learning (Elman, 1990; Pollack,
1991). The RNNs are considered to be adaptive dynamical systems from
which dynamical structures can be tuned by means of neural connective
weight modification using certain self-learning schemes. Elman (Elman,
1990) and Pollack (Pollack, 1991) showed that the RNNs can learn
certain language syntactic structures from example sentences. The
particular finding in their research is that grammatical rules cannot
be seen explicitly in the neural internal representation, but the
rules are actually embedded in attractor dynamics of the RNNs. Using
the RNNs is suitable for our objective since we can exclude the
"homunculus" from the systems which attempts to look down at the
representation from the top and to manipulate the elements of the
representation. The symbol grounding problem may not exist for RNNs
since there exist no explicit forms for the symbols in the RNNs which
need to be grounded...." |
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| JGCasey |
Posted: Wed Feb 11, 2004 10:34 pm |
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Guest
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"dan michaels" <dan@oricomtech.com> wrote in message
news:4b4b6093.0402111226.7d496014@posting.google.com...
Quote: The following might be of interest to people interested in building
embodied AIs.
I found a reference in the following cog.sci paper to Tani's robotic
work, mentioned below. The approach involves recurrent NN's and
self-learning schemes, integration of bottom-up perception and
top-down "subjective" prediction processes, in a real robot in a
real-world environment. The philosophical citation is just for
reference. Tani's dynamical systems approach is the meat. This
approach attempts to obviate the need for the homunculus.
http://www2.canisius.edu/~gallaghr/tics2000.html
"Philosophical Conceptions of the Self: Implications for Cognitive
Science", Shaun Gallagher, 2000.
"... Tani (1998) explores the possibility of establishing an
artificial version of Strawson's minimal self in a machine ... Tani,
however, in contrast to Strawson, makes it clear that the robotic self
he is designing is the result of physical interaction between the
robotic body and its environment...."
-----------------
http://www.bdc.brain.riken.go.jp/~tani/
http://citeseer.nj.nec.com/tani98interpretation.html
[snip]
I become very leery eyed when I read this kind of stuff.
Bold unsubstantiated statements such as,
"Self consciousness emerges when the relation between
the subject (top down process) and the object (bottom
down process) becomes incoherent."
Oh really? How would you verify that? I would find it
more convincing if you could say that "when a system,
capable of speech, becomes incoherent it will declare
itself as being self conscious as a result of ...."
I don't see how ad hoc definitions help us understand
these issues. To define the "subjective mind" (what other
kind is there?) as a "top down interpretive process"
seems kind of superfluous? Why not just call it TDIP?
Why pretend you have explained anything? It is not
required to understand how the machine works or
what is meant physically by incoherence.
How best to integrate higher level processing with the lower
level processing does not require "mind" or "consciousness"
to be part of the equation, except as an emergent property
(a prediction of this kind of system) which would be a major
breakthrough in our understanding of what those terms mean
in a physical sense.
Not all that glitters is gold and my gut feeling is they have not
hit the gold yet.
--
John Casey |
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| Glen M. Sizemore |
Posted: Thu Feb 12, 2004 6:03 am |
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Guest
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Yeah but it SOUNDS smart. Thus, Dan is impressed.
"JGCasey" <kjcasey@hotkey.net.au> wrote in message
news:402af50d_1@news.iprimus.com.au...
Quote:
"dan michaels" <dan@oricomtech.com> wrote in message
news:4b4b6093.0402111226.7d496014@posting.google.com...
The following might be of interest to people interested in building
embodied AIs.
I found a reference in the following cog.sci paper to Tani's robotic
work, mentioned below. The approach involves recurrent NN's and
self-learning schemes, integration of bottom-up perception and
top-down "subjective" prediction processes, in a real robot in a
real-world environment. The philosophical citation is just for
reference. Tani's dynamical systems approach is the meat. This
approach attempts to obviate the need for the homunculus.
http://www2.canisius.edu/~gallaghr/tics2000.html
"Philosophical Conceptions of the Self: Implications for Cognitive
Science", Shaun Gallagher, 2000.
"... Tani (1998) explores the possibility of establishing an
artificial version of Strawson's minimal self in a machine ... Tani,
however, in contrast to Strawson, makes it clear that the robotic self
he is designing is the result of physical interaction between the
robotic body and its environment...."
-----------------
http://www.bdc.brain.riken.go.jp/~tani/
http://citeseer.nj.nec.com/tani98interpretation.html
[snip]
I become very leery eyed when I read this kind of stuff.
Bold unsubstantiated statements such as,
"Self consciousness emerges when the relation between
the subject (top down process) and the object (bottom
down process) becomes incoherent."
Oh really? How would you verify that? I would find it
more convincing if you could say that "when a system,
capable of speech, becomes incoherent it will declare
itself as being self conscious as a result of ...."
I don't see how ad hoc definitions help us understand
these issues. To define the "subjective mind" (what other
kind is there?) as a "top down interpretive process"
seems kind of superfluous? Why not just call it TDIP?
Why pretend you have explained anything? It is not
required to understand how the machine works or
what is meant physically by incoherence.
How best to integrate higher level processing with the lower
level processing does not require "mind" or "consciousness"
to be part of the equation, except as an emergent property
(a prediction of this kind of system) which would be a major
breakthrough in our understanding of what those terms mean
in a physical sense.
Not all that glitters is gold and my gut feeling is they have not
hit the gold yet.
--
John Casey
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| dan michaels |
Posted: Thu Feb 12, 2004 11:32 am |
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Guest
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"JGCasey" <kjcasey@hotkey.net.au> wrote in message news:<402af50d_1@news.iprimus.com.au>...
Quote: "dan michaels" <dan@oricomtech.com> wrote in message
news:4b4b6093.0402111226.7d496014@posting.google.com...
The following might be of interest to people interested in building
embodied AIs.
I found a reference in the following cog.sci paper to Tani's robotic
work, mentioned below. The approach involves recurrent NN's and
self-learning schemes, integration of bottom-up perception and
top-down "subjective" prediction processes, in a real robot in a
real-world environment. The philosophical citation is just for
reference. Tani's dynamical systems approach is the meat. This
approach attempts to obviate the need for the homunculus.
http://www2.canisius.edu/~gallaghr/tics2000.html
"Philosophical Conceptions of the Self: Implications for Cognitive
Science", Shaun Gallagher, 2000.
"... Tani (1998) explores the possibility of establishing an
artificial version of Strawson's minimal self in a machine ... Tani,
however, in contrast to Strawson, makes it clear that the robotic self
he is designing is the result of physical interaction between the
robotic body and its environment...."
-----------------
http://www.bdc.brain.riken.go.jp/~tani/
http://citeseer.nj.nec.com/tani98interpretation.html
[snip]
I become very leery eyed when I read this kind of stuff.
Bold unsubstantiated statements such as,
"Self consciousness emerges when the relation between
the subject (top down process) and the object (bottom
down process) becomes incoherent."
.............
How best to integrate higher level processing with the lower
level processing does not require "mind" or "consciousness"
to be part of the equation, except as an emergent property
(a prediction of this kind of system) which would be a major
breakthrough in our understanding of what those terms mean
in a physical sense.
Not all that glitters is gold and my gut feeling is they have not
hit the gold yet.
Yes, of course, I agree with you about the excessive philosophizing
.... silly word games again. However, what you might do is take a look
at the overall multi-leveled neural architecture of the robot, and its
method for integrating several top-down and bottom-up processes. Quite
interesting, I think. As I mentioned:
"... Tani's dynamical systems approach is the meat ..."
Recurrent NN's, self-learning, look-ahead prediction, visual
targeting, memory rehearsal, open-loop vs closed-loop predictive
sequencing, chaotic dynamics. Goes beyond just philosophical limit
cycling. The thing actually has wheels, too. |
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| dan michaels |
Posted: Thu Feb 12, 2004 11:34 am |
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Guest
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Besides that, it's a rather nice example of philosophical limit cycling.
"Glen M. Sizemore" <gmsizemore2@yahoo.com> wrote in message news:<7e48caa73ac925382c271e372771a204@news.teranews.com>...
Quote: Yeah but it SOUNDS smart. Thus, Dan is impressed.
"JGCasey" <kjcasey@hotkey.net.au> wrote in message
news:402af50d_1@news.iprimus.com.au...
"dan michaels" <dan@oricomtech.com> wrote in message
news:4b4b6093.0402111226.7d496014@posting.google.com...
The following might be of interest to people interested in building
embodied AIs.
I found a reference in the following cog.sci paper to Tani's robotic
work, mentioned below. The approach involves recurrent NN's and
self-learning schemes, integration of bottom-up perception and
top-down "subjective" prediction processes, in a real robot in a
real-world environment. The philosophical citation is just for
reference. Tani's dynamical systems approach is the meat. This
approach attempts to obviate the need for the homunculus.
http://www2.canisius.edu/~gallaghr/tics2000.html
"Philosophical Conceptions of the Self: Implications for Cognitive
Science", Shaun Gallagher, 2000.
"... Tani (1998) explores the possibility of establishing an
artificial version of Strawson's minimal self in a machine ... Tani,
however, in contrast to Strawson, makes it clear that the robotic self
he is designing is the result of physical interaction between the
robotic body and its environment...."
-----------------
http://www.bdc.brain.riken.go.jp/~tani/
http://citeseer.nj.nec.com/tani98interpretation.html
[snip]
I become very leery eyed when I read this kind of stuff.
Bold unsubstantiated statements such as,
"Self consciousness emerges when the relation between
the subject (top down process) and the object (bottom
down process) becomes incoherent."
Oh really? How would you verify that? I would find it
more convincing if you could say that "when a system,
capable of speech, becomes incoherent it will declare
itself as being self conscious as a result of ...."
I don't see how ad hoc definitions help us understand
these issues. To define the "subjective mind" (what other
kind is there?) as a "top down interpretive process"
seems kind of superfluous? Why not just call it TDIP?
Why pretend you have explained anything? It is not
required to understand how the machine works or
what is meant physically by incoherence.
How best to integrate higher level processing with the lower
level processing does not require "mind" or "consciousness"
to be part of the equation, except as an emergent property
(a prediction of this kind of system) which would be a major
breakthrough in our understanding of what those terms mean
in a physical sense.
Not all that glitters is gold and my gut feeling is they have not
hit the gold yet.
--
John Casey
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| Back to top |
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| JGCasey |
Posted: Thu Feb 12, 2004 4:32 pm |
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Guest
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"dan michaels" <dan@oricomtech.com> wrote in message
news:4b4b6093.0402120832.42a777fc@posting.google.com...
Quote: "JGCasey" <kjcasey@hotkey.net.au> wrote in message
news:<402af50d_1@news.iprimus.com.au>...
"dan michaels" <dan@oricomtech.com> wrote in message
news:4b4b6093.0402111226.7d496014@posting.google.com...
The following might be of interest to people interested in building
embodied AIs.
I found a reference in the following cog.sci paper to Tani's robotic
work, mentioned below. The approach involves recurrent NN's and
self-learning schemes, integration of bottom-up perception and
top-down "subjective" prediction processes, in a real robot in a
real-world environment. The philosophical citation is just for
reference. Tani's dynamical systems approach is the meat. This
approach attempts to obviate the need for the homunculus.
http://www2.canisius.edu/~gallaghr/tics2000.html
"Philosophical Conceptions of the Self: Implications for Cognitive
Science", Shaun Gallagher, 2000.
"... Tani (1998) explores the possibility of establishing an
artificial version of Strawson's minimal self in a machine ... Tani,
however, in contrast to Strawson, makes it clear that the robotic self
he is designing is the result of physical interaction between the
robotic body and its environment...."
-----------------
http://www.bdc.brain.riken.go.jp/~tani/
http://citeseer.nj.nec.com/tani98interpretation.html
[snip]
I become very leery eyed when I read this kind of stuff.
Bold unsubstantiated statements such as,
"Self consciousness emerges when the relation between
the subject (top down process) and the object (bottom
down process) becomes incoherent."
............
How best to integrate higher level processing with the lower
level processing does not require "mind" or "consciousness"
to be part of the equation, except as an emergent property
(a prediction of this kind of system) which would be a major
breakthrough in our understanding of what those terms mean
in a physical sense.
Not all that glitters is gold and my gut feeling is they have not
hit the gold yet.
Yes, of course, I agree with you about the excessive philosophizing
... silly word games again. However, what you might do is take a look
at the overall multi-leveled neural architecture of the robot, and its
method for integrating several top-down and bottom-up processes. Quite
interesting, I think. As I mentioned:
"... Tani's dynamical systems approach is the meat ..."
Recurrent NN's, self-learning, look-ahead prediction, visual
targeting, memory rehearsal, open-loop vs closed-loop predictive
sequencing, chaotic dynamics. Goes beyond just philosophical limit
cycling. The thing actually has wheels, too.
The practical model building was of interest. The idea that a robot
develops a "self" in the case of the Tani robot may have been inspired
by the fact that we become aware of otherwise unconscious actions
when something does not go as expected. However I doubt my
computer develops a "self" every time it gets an interrupt signal that
it has to "pay attention to" no matter how sophisticated or complex
that "attention" is. Computer people use "mind" terminology all the
time but they don't get confused by it.
Because I know people who have been diagnosed with schizophrenia
I was going to comment on the other reference you gave, "Philosophical
Conceptions of the Self:", but haven't had time to read in properly.
Researchers such as Jun Tani might make discoveries and come up
with models that may lead to a better understanding of the brain and
the "mind".
--
John Casey
Brain Science Institute, RIKEN |
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| David Longley |
Posted: Thu Feb 12, 2004 5:40 pm |
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Guest
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In article <402bf450_1@news.iprimus.com.au>, JGCasey
<kjcasey@hotkey.net.au> writes
Quote:
"dan michaels" <dan@oricomtech.com> wrote in message
news:4b4b6093.0402120832.42a777fc@posting.google.com...
"JGCasey" <kjcasey@hotkey.net.au> wrote in message
news:<402af50d_1@news.iprimus.com.au>...
"dan michaels" <dan@oricomtech.com> wrote in message
news:4b4b6093.0402111226.7d496014@posting.google.com...
The following might be of interest to people interested in building
embodied AIs.
I found a reference in the following cog.sci paper to Tani's robotic
work, mentioned below. The approach involves recurrent NN's and
self-learning schemes, integration of bottom-up perception and
top-down "subjective" prediction processes, in a real robot in a
real-world environment. The philosophical citation is just for
reference. Tani's dynamical systems approach is the meat. This
approach attempts to obviate the need for the homunculus.
http://www2.canisius.edu/~gallaghr/tics2000.html
"Philosophical Conceptions of the Self: Implications for Cognitive
Science", Shaun Gallagher, 2000.
"... Tani (1998) explores the possibility of establishing an
artificial version of Strawson's minimal self in a machine ... Tani,
however, in contrast to Strawson, makes it clear that the robotic self
he is designing is the result of physical interaction between the
robotic body and its environment...."
-----------------
http://www.bdc.brain.riken.go.jp/~tani/
http://citeseer.nj.nec.com/tani98interpretation.html
[snip]
I become very leery eyed when I read this kind of stuff.
Bold unsubstantiated statements such as,
"Self consciousness emerges when the relation between
the subject (top down process) and the object (bottom
down process) becomes incoherent."
............
How best to integrate higher level processing with the lower
level processing does not require "mind" or "consciousness"
to be part of the equation, except as an emergent property
(a prediction of this kind of system) which would be a major
breakthrough in our understanding of what those terms mean
in a physical sense.
Not all that glitters is gold and my gut feeling is they have not
hit the gold yet.
Yes, of course, I agree with you about the excessive philosophizing
... silly word games again. However, what you might do is take a look
at the overall multi-leveled neural architecture of the robot, and its
method for integrating several top-down and bottom-up processes. Quite
interesting, I think. As I mentioned:
"... Tani's dynamical systems approach is the meat ..."
Recurrent NN's, self-learning, look-ahead prediction, visual
targeting, memory rehearsal, open-loop vs closed-loop predictive
sequencing, chaotic dynamics. Goes beyond just philosophical limit
cycling. The thing actually has wheels, too.
The practical model building was of interest. The idea that a robot
develops a "self" in the case of the Tani robot may have been inspired
by the fact that we become aware of otherwise unconscious actions
when something does not go as expected. However I doubt my
computer develops a "self" every time it gets an interrupt signal that
it has to "pay attention to" no matter how sophisticated or complex
that "attention" is. Computer people use "mind" terminology all the
time but they don't get confused by it.
Some seem to John.
Quote: Because I know people who have been diagnosed with schizophrenia
I was going to comment on the other reference you gave, "Philosophical
Conceptions of the Self:", but haven't had time to read in properly.
Researchers such as Jun Tani might make discoveries and come up
with models that may lead to a better understanding of the brain and
the "mind".
--
John Casey
Brain Science Institute, RIKEN
--
David Longley |
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| AlphaOmega2004 |
Posted: Thu Feb 12, 2004 8:37 pm |
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Guest
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"David Longley" <David@longley.demon.co.uk> wrote in message
news:GAnOxuC2DALAFwDC@longley.demon.co.uk...
Quote: In article <402bf450_1@news.iprimus.com.au>, JGCasey
kjcasey@hotkey.net.au> writes
"dan michaels" <dan@oricomtech.com> wrote in message
news:4b4b6093.0402120832.42a777fc@posting.google.com...
"JGCasey" <kjcasey@hotkey.net.au> wrote in message
news:<402af50d_1@news.iprimus.com.au>...
"dan michaels" <dan@oricomtech.com> wrote in message
news:4b4b6093.0402111226.7d496014@posting.google.com...
The following might be of interest to people interested in building
embodied AIs.
I found a reference in the following cog.sci paper to Tani's
robotic
work, mentioned below. The approach involves recurrent NN's and
self-learning schemes, integration of bottom-up perception and
top-down "subjective" prediction processes, in a real robot in a
real-world environment. The philosophical citation is just for
reference. Tani's dynamical systems approach is the meat. This
approach attempts to obviate the need for the homunculus.
http://www2.canisius.edu/~gallaghr/tics2000.html
"Philosophical Conceptions of the Self: Implications for Cognitive
Science", Shaun Gallagher, 2000.
"... Tani (1998) explores the possibility of establishing an
artificial version of Strawson's minimal self in a machine ...
Tani,
however, in contrast to Strawson, makes it clear that the robotic
self
he is designing is the result of physical interaction between the
robotic body and its environment...."
-----------------
http://www.bdc.brain.riken.go.jp/~tani/
http://citeseer.nj.nec.com/tani98interpretation.html
[snip]
I become very leery eyed when I read this kind of stuff.
Bold unsubstantiated statements such as,
"Self consciousness emerges when the relation between
the subject (top down process) and the object (bottom
down process) becomes incoherent."
............
How best to integrate higher level processing with the lower
level processing does not require "mind" or "consciousness"
to be part of the equation, except as an emergent property
(a prediction of this kind of system) which would be a major
breakthrough in our understanding of what those terms mean
in a physical sense.
Not all that glitters is gold and my gut feeling is they have not
hit the gold yet.
Yes, of course, I agree with you about the excessive philosophizing
... silly word games again. However, what you might do is take a look
at the overall multi-leveled neural architecture of the robot, and its
method for integrating several top-down and bottom-up processes. Quite
interesting, I think. As I mentioned:
"... Tani's dynamical systems approach is the meat ..."
Recurrent NN's, self-learning, look-ahead prediction, visual
targeting, memory rehearsal, open-loop vs closed-loop predictive
sequencing, chaotic dynamics. Goes beyond just philosophical limit
cycling. The thing actually has wheels, too.
The practical model building was of interest. The idea that a robot
develops a "self" in the case of the Tani robot may have been inspired
by the fact that we become aware of otherwise unconscious actions
when something does not go as expected. However I doubt my
computer develops a "self" every time it gets an interrupt signal that
it has to "pay attention to" no matter how sophisticated or complex
that "attention" is. Computer people use "mind" terminology all the
time but they don't get confused by it.
Some seem to John.
The seeming is all in your mind David!
Quote:
Because I know people who have been diagnosed with schizophrenia
I was going to comment on the other reference you gave, "Philosophical
Conceptions of the Self:", but haven't had time to read in properly.
Researchers such as Jun Tani might make discoveries and come up
with models that may lead to a better understanding of the brain and
the "mind".
--
John Casey
Brain Science Institute, RIKEN
--
David Longley |
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| Back to top |
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| dan michaels |
Posted: Thu Feb 12, 2004 11:28 pm |
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Guest
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"JGCasey" <kjcasey@hotkey.net.au> wrote in message news:<402bf450_1@news.iprimus.com.au>...
Quote:
Not all that glitters is gold and my gut feeling is they have not
hit the gold yet.
Yes, of course, I agree with you about the excessive philosophizing
... silly word games again. However, what you might do is take a look
at the overall multi-leveled neural architecture of the robot, and its
method for integrating several top-down and bottom-up processes. Quite
interesting, I think. As I mentioned:
"... Tani's dynamical systems approach is the meat ..."
Recurrent NN's, self-learning, look-ahead prediction, visual
targeting, memory rehearsal, open-loop vs closed-loop predictive
sequencing, chaotic dynamics. Goes beyond just philosophical limit
cycling. The thing actually has wheels, too.
The practical model building was of interest. The idea that a robot
develops a "self" in the case of the Tani robot may have been inspired
by the fact that we become aware of otherwise unconscious actions
when something does not go as expected. However I doubt my
computer develops a "self" every time it gets an interrupt signal that
it has to "pay attention to" no matter how sophisticated or complex
that "attention" is. Computer people use "mind" terminology all the
time but they don't get confused by it.
As always, I'm interested in useful ideas for building AI's, and
couldn't care less if these things are conscious of self, have a mind,
or whatever, or what not ....
.... but, hmmm ... JFTHOI, it might be interesting to check back and
see whether the "original" AI guys had glorious ideas about building
sentient beings ....
.... or whether they just had in mind creating some things that could
something intelligent ... and all of this
sentience/consciousness/blah-blah stuff is really some hype that came
from hollywood or sci.fi books or wherever.
Did Herbert Simon/etc want to build pretty android replicants, or did
they just want to make good chess playing and problem-solving
programs? What do you think? Do you know enuf about history to answer
this question? Did they spend their lives debating mind and
consciousness? Did they care?
------------
Regards Tani's stuff, he brought together a wide range of information
from AI, connectionism, cognitive science, and neurophysiology, and
built an interesting and autonomous real-world system. Very clever
guy.
I decided to track down some of his references at the library today,
one is an interesting looking book - "A Dynamic Systems Approach to
the Development of Cognition and Action", by Esther Thelen and Linda
B. Smith, MIT, 1994.
I don't know if Omega is around, but he might also find it of
interest. Chaotic attractors, etc. |
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| Alex Green |
Posted: Fri Feb 13, 2004 7:46 am |
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Guest
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dan@oricomtech.com (dan michaels) wrote in message >
Quote: As always, I'm interested in useful ideas for building AI's, and
couldn't care less if these things are conscious of self, have a mind,
or whatever, or what not ....
Excellent: comp.ai.philosophy vs sci.cognitive. My big problem in AI
development is what I dub 'multiple simultaneity'. To explain this
I'll describe a 'back burner' project running in my company.
Our approach has involved multiple parallel classification which works
for form recognition but is not as good for process recognition and
training. Say a paper form arrives as input. It has most of the
characterisics of 'invoice' but there is a wierd 'AB' in a box to the
left of another box with 6 numbers. The system can easily work out
that there is a possible National Insurance Number and create an
exception. It is here that the problems arise.
When the system moves from, say, a National Insurance number to
possible consequences (again an exercise in classification) it must
keep referring back to the original form. As an example it may find
that NI number suggests 'fill out another form' or 'ask contractor for
a form' or 'erroneus match for NI number'. The system must explore
each of these alternatives or 'paths'. As it moves out along these
paths it has to formulate questions and reclassify the original form,
then hold the temporary classifications against each path. If each
path has multiple steps the table of classifications must be held at
each step. This might be manageble if, at any given step along a path
it were possible to give a definitive answer to whether the path is
correct. Unfortunately the paths need to be explored beyond a mismatch
at any one step. To cut a long story short, what happens is that a
number of classification tables appear at each step of each path and
each classification table must be reclassified on the basis of
original data as the system progresses along any given path. We end
up with weightings for each path.
Now, all this can be done but ultimately it provides a slower and less
reliable system than an accounts clerk or medical clerk etc. What
they do is see three documents on a desk and say "hey, have you told
the Revenue about this guy, he's done at least a week for us in the
last year". On the other hand, what the machine does is put his
contract work in the accounts system as a capital asset. You would not
trust such a machine with patient's records.
The clerk seems to model the entire problem simultaneously, even where
it involves possible alternative processes. They seamlessly reclassify
the source data as a whole. This is why the machine works best if the
clerk sorts the documents into boxes and removes exceptional items.
Now, if our machine we cant sort documents and act reliably but always
asks the clerk to deal with its incompetence what hope do we have of
it answering the phone?
Best Wishes
Alex Green |
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| Eray Ozkural exa |
Posted: Fri Feb 13, 2004 1:45 pm |
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dralexgreen@yahoo.co.uk (Alex Green) wrote in message news:<42c8441.0402130446.470f9726@posting.google.com>...
Quote: dan@oricomtech.com (dan michaels) wrote in message
As always, I'm interested in useful ideas for building AI's, and
couldn't care less if these things are conscious of self, have a mind,
or whatever, or what not ....
Excellent: comp.ai.philosophy vs sci.cognitive. My big problem in AI
development is what I dub 'multiple simultaneity'. To explain this
I'll describe a 'back burner' project running in my company.
No, it's just a shade of the frame problem. Read the description of
frame problem and its three variants in AIMA. Maybe that's the
difference between comp.* and sci.*?
Regards,
--
Eray Ozkural |
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| dan michaels |
Posted: Fri Feb 13, 2004 4:33 pm |
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dralexgreen@yahoo.co.uk (Alex Green) wrote in message news:<42c8441.0402130446.470f9726@posting.google.com>...
Quote: dan@oricomtech.com (dan michaels) wrote in message
As always, I'm interested in useful ideas for building AI's, and
couldn't care less if these things are conscious of self, have a mind,
or whatever, or what not ....
Excellent: comp.ai.philosophy vs sci.cognitive.
No, just the engineer speaking - who likes things for today better
than words for tomorrow, is all . As mentioned, I enjoyed the
technical description of Tani's system, but not so much his
philosophizing about it having self. There are "many" in-between
levels to look at and get functioning - a wide gap between top and
bottom.
====================
Quote: The clerk seems to model the entire problem simultaneously, even where
it involves possible alternative processes. They seamlessly reclassify
the source data as a whole. This is why the machine works best if the
clerk sorts the documents into boxes and removes exceptional items.
And what was the learning curve for the clerk, and how can you get it
into the computer, once you figure out how to give the computer an IQ
equivalent of 100, or more? Your example illustrates well that MI
isn't as smart as a high-school or college graduate yet. [neither is
Tani's system, of course, but his system could probably navigate the
room your machine-clerk is booted up in]. |
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| Alex Green |
Posted: Sat Feb 14, 2004 2:41 pm |
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Quote: The clerk seems to model the entire problem simultaneously, even where
it involves possible alternative processes. They seamlessly reclassify
the source data as a whole. This is why the machine works best if the
clerk sorts the documents into boxes and removes exceptional items.
And what was the learning curve for the clerk, and how can you get it
into the computer, once you figure out how to give the computer an IQ
equivalent of 100, or more? Your example illustrates well that MI
isn't as smart as a high-school or college graduate yet. [neither is
Tani's system, of course, but his system could probably navigate the
room your machine-clerk is booted up in].
I think there is something more here, not just training or parallel
processing although parallel processing would undoubtedly help. It is
very hard to put a finger on it but it seems like some sort of
recognition of pattern growth. When the clerk looks at the forms in
the example the the government employee code 'jumps out' at him. The
code is at first equally balanced with the other data on the form but
the scarcely felt, general feeling of 'contractor' pops the employee
code into mind.
I think a clerk's brain is going through masses of classifications and
reclassifications like our machine and these reclassifications are
being expressed simultaneously on the representation of the source
data.
Any function can be replicated in a computer so it should be possible
to replicate this effect even though it may be due to something like
quantum processing in the brain.
Best Wishes
Alex Green |
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