Re: [agi] new paper: What Do You Mean by AI?

2006-11-18 Thread Matt Mahoney
Pei, you classified NARS as a principle-based AI.  Are there any others in 
that category?  What about Novamente?
 
-- Matt Mahoney, [EMAIL PROTECTED]

- Original Message 
From: Pei Wang [EMAIL PROTECTED]
To: agi@v2.listbox.com agi@v2.listbox.com
Sent: Friday, November 17, 2006 11:51:58 AM
Subject: [agi] new paper: What Do You Mean by AI?

Hi,

A new paper of mine is put on-line for comment. English corrections
are also welcome. You can either post to this mailing list or send me
private emails.

Thanks in advance.

Pei

---

TITLE: What Do You Mean by AI?

ABSTRACT: Many problems in AI study can be traced back to the
confusion of different research goals.  In this paper, five typical
ways to define AI are clarified, analyzed, and compared. It is argued
that though they are all legitimate research goals, they lead the
research to very different directions. Furthermore, most of them have
trouble to give AI a proper identity.

URL: http://nars.wang.googlepages.com/wang.AI_Definitions.pdf

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Re: [agi] new paper: What Do You Mean by AI?

2006-11-18 Thread Pei Wang

Of course, I know many people won't agree with my classification, and
many projects are pursuing multiple goals, according to this
classification. One example is Novamente --- Ben wants (almost)
everything. ;-)

In the following webpage I just updated, you can see where I put some
representative AGI-related projects in this classification, according
to their main goals, as far as I can tell:
http://www.cis.temple.edu/~pwang/203-AI/Lecture/AGI.htm

Pei

On 11/18/06, Matt Mahoney [EMAIL PROTECTED] wrote:

Pei, you classified NARS as a principle-based AI.  Are there any others in 
that category?  What about Novamente?

-- Matt Mahoney, [EMAIL PROTECTED]

- Original Message 
From: Pei Wang [EMAIL PROTECTED]
To: agi@v2.listbox.com agi@v2.listbox.com
Sent: Friday, November 17, 2006 11:51:58 AM
Subject: [agi] new paper: What Do You Mean by AI?

Hi,

A new paper of mine is put on-line for comment. English corrections
are also welcome. You can either post to this mailing list or send me
private emails.

Thanks in advance.

Pei

---

TITLE: What Do You Mean by AI?

ABSTRACT: Many problems in AI study can be traced back to the
confusion of different research goals.  In this paper, five typical
ways to define AI are clarified, analyzed, and compared. It is argued
that though they are all legitimate research goals, they lead the
research to very different directions. Furthermore, most of them have
trouble to give AI a proper identity.

URL: http://nars.wang.googlepages.com/wang.AI_Definitions.pdf

-
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Re: Re: [agi] new paper: What Do You Mean by AI?

2006-11-18 Thread Ben Goertzel

According to your classification,

structure (e.g., to build brain models)
behavior (e.g., to simulate human mind)
capability (e.g., to solve hard problems)
function (e.g., to have cognitive facilities)
principle (e.g., to be adaptive and rational)

Novamente is based on the final 3 categories, but not the first two.
Novamente is not intended to model the human brain or mind, though it
draws inspiration from both here and there, as seems seful.

In your article you associate Novamente with capability and function
but not principle; however, strict adherence to probabilistic
semantics is an important aspect of Novamente, and one thing that
distinguishes it from its predecessor, Webmind.  I believe this is an
example of what you call principle.

-- Ben

On 11/18/06, Pei Wang [EMAIL PROTECTED] wrote:

Of course, I know many people won't agree with my classification, and
many projects are pursuing multiple goals, according to this
classification. One example is Novamente --- Ben wants (almost)
everything. ;-)

In the following webpage I just updated, you can see where I put some
representative AGI-related projects in this classification, according
to their main goals, as far as I can tell:
http://www.cis.temple.edu/~pwang/203-AI/Lecture/AGI.htm

Pei

On 11/18/06, Matt Mahoney [EMAIL PROTECTED] wrote:
 Pei, you classified NARS as a principle-based AI.  Are there any others in 
that category?  What about Novamente?

 -- Matt Mahoney, [EMAIL PROTECTED]

 - Original Message 
 From: Pei Wang [EMAIL PROTECTED]
 To: agi@v2.listbox.com agi@v2.listbox.com
 Sent: Friday, November 17, 2006 11:51:58 AM
 Subject: [agi] new paper: What Do You Mean by AI?

 Hi,

 A new paper of mine is put on-line for comment. English corrections
 are also welcome. You can either post to this mailing list or send me
 private emails.

 Thanks in advance.

 Pei

 ---

 TITLE: What Do You Mean by AI?

 ABSTRACT: Many problems in AI study can be traced back to the
 confusion of different research goals.  In this paper, five typical
 ways to define AI are clarified, analyzed, and compared. It is argued
 that though they are all legitimate research goals, they lead the
 research to very different directions. Furthermore, most of them have
 trouble to give AI a proper identity.

 URL: http://nars.wang.googlepages.com/wang.AI_Definitions.pdf

 -
 This list is sponsored by AGIRI: http://www.agiri.org/email
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Re: Re: [agi] new paper: What Do You Mean by AI?

2006-11-18 Thread Pei Wang

On 11/18/06, Ben Goertzel [EMAIL PROTECTED] wrote:

According to your classification,

structure (e.g., to build brain models)
behavior (e.g., to simulate human mind)
capability (e.g., to solve hard problems)
function (e.g., to have cognitive facilities)
principle (e.g., to be adaptive and rational)

Novamente is based on the final 3 categories, but not the first two.
Novamente is not intended to model the human brain or mind, though it
draws inspiration from both here and there, as seems seful.


Agree.


In your article you associate Novamente with capability and function
but not principle; however, strict adherence to probabilistic
semantics is an important aspect of Novamente, and one thing that
distinguishes it from its predecessor, Webmind.  I believe this is an
example of what you call principle.


Agree, too --- that is why I said you want almost everything. However,
whenever a design decision is made, you usually consider more about
the system's problem-solving ability, and less about the consistency
of its theoretical foundation --- of course, you may argue that it
don't conflict with your principle, though I'm not that sure.

On the contrary, I'm more sensitive to the theoretical consistency of
a system than to its practical ability.

Pei


-- Ben

On 11/18/06, Pei Wang [EMAIL PROTECTED] wrote:
 Of course, I know many people won't agree with my classification, and
 many projects are pursuing multiple goals, according to this
 classification. One example is Novamente --- Ben wants (almost)
 everything. ;-)

 In the following webpage I just updated, you can see where I put some
 representative AGI-related projects in this classification, according
 to their main goals, as far as I can tell:
 http://www.cis.temple.edu/~pwang/203-AI/Lecture/AGI.htm

 Pei

 On 11/18/06, Matt Mahoney [EMAIL PROTECTED] wrote:
  Pei, you classified NARS as a principle-based AI.  Are there any others 
in that category?  What about Novamente?
 
  -- Matt Mahoney, [EMAIL PROTECTED]
 
  - Original Message 
  From: Pei Wang [EMAIL PROTECTED]
  To: agi@v2.listbox.com agi@v2.listbox.com
  Sent: Friday, November 17, 2006 11:51:58 AM
  Subject: [agi] new paper: What Do You Mean by AI?
 
  Hi,
 
  A new paper of mine is put on-line for comment. English corrections
  are also welcome. You can either post to this mailing list or send me
  private emails.
 
  Thanks in advance.
 
  Pei
 
  ---
 
  TITLE: What Do You Mean by AI?
 
  ABSTRACT: Many problems in AI study can be traced back to the
  confusion of different research goals.  In this paper, five typical
  ways to define AI are clarified, analyzed, and compared. It is argued
  that though they are all legitimate research goals, they lead the
  research to very different directions. Furthermore, most of them have
  trouble to give AI a proper identity.
 
  URL: http://nars.wang.googlepages.com/wang.AI_Definitions.pdf
 
  -
  This list is sponsored by AGIRI: http://www.agiri.org/email
  To unsubscribe or change your options, please go to:
  http://v2.listbox.com/member/?list_id=303
 
 
 
  -
  This list is sponsored by AGIRI: http://www.agiri.org/email
  To unsubscribe or change your options, please go to:
  http://v2.listbox.com/member/?list_id=303
 

 -
 This list is sponsored by AGIRI: http://www.agiri.org/email
 To unsubscribe or change your options, please go to:
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Re: Re: Re: [agi] new paper: What Do You Mean by AI?

2006-11-18 Thread Ben Goertzel

Agree, too --- that is why I said you want almost everything. However,
whenever a design decision is made, you usually consider more about
the system's problem-solving ability, and less about the consistency
of its theoretical foundation --- of course, you may argue that it
don't conflict with your principle, though I'm not that sure.

On the contrary, I'm more sensitive to the theoretical consistency of
a system than to its practical ability.

Pei


Hi, Pei ...

I think your comments above are more apropos to Webmind than to Novamente.

For instance, in my bioinformatics and NLP narrow-AI work I have been
extremely impressed with SVM's for supervised categorization.

So, in the Webmind philosophy, we would have integrated SVM's into
Webmind to serve inside a supervised categorization agent.

In Novamente, OTOH, we use MOSES (probabilistic evolutionary learning)
for supervised categorization internally (e.g. for finding rules
regarding what properties characterize the extension of some concept)
... even though it is not always as accurate as SVM's.  The reasons
are twofold:

a) keeping the overall design as simple as possible
b) adherence to the principle of probabilistic semantics (yes, SVM's
output can be interpreted probabilistically, but that requires a lot
of contortions...)

-- Ben

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Re: Re: Re: [agi] new paper: What Do You Mean by AI?

2006-11-18 Thread Pei Wang

So you are moving in the right direction. ;-)

Pei

On 11/18/06, Ben Goertzel [EMAIL PROTECTED] wrote:

 Agree, too --- that is why I said you want almost everything. However,
 whenever a design decision is made, you usually consider more about
 the system's problem-solving ability, and less about the consistency
 of its theoretical foundation --- of course, you may argue that it
 don't conflict with your principle, though I'm not that sure.

 On the contrary, I'm more sensitive to the theoretical consistency of
 a system than to its practical ability.

 Pei

Hi, Pei ...

I think your comments above are more apropos to Webmind than to Novamente.

For instance, in my bioinformatics and NLP narrow-AI work I have been
extremely impressed with SVM's for supervised categorization.

So, in the Webmind philosophy, we would have integrated SVM's into
Webmind to serve inside a supervised categorization agent.

In Novamente, OTOH, we use MOSES (probabilistic evolutionary learning)
for supervised categorization internally (e.g. for finding rules
regarding what properties characterize the extension of some concept)
... even though it is not always as accurate as SVM's.  The reasons
are twofold:

a) keeping the overall design as simple as possible
b) adherence to the principle of probabilistic semantics (yes, SVM's
output can be interpreted probabilistically, but that requires a lot
of contortions...)

-- Ben

-
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Re: Re: Re: Re: [agi] new paper: What Do You Mean by AI?

2006-11-18 Thread Ben Goertzel

But of course, practical ability is the foremost thing in my mind when
working on AGI design ... my point is just that I will definitely make
small sacrifices in the practical ability of particular system
components in order to increase the simplicity and principledness of
the overall design.

Still though, you are right that I remain something of a pragmatic
opportunist as an AGI designer, even though I'm a purist re philosophy
of mind.  Engineering is an opportunistic pursuit, IMO ;=)

ben



On 11/18/06, Ben Goertzel [EMAIL PROTECTED] wrote:

 Agree, too --- that is why I said you want almost everything. However,
 whenever a design decision is made, you usually consider more about
 the system's problem-solving ability, and less about the consistency
 of its theoretical foundation --- of course, you may argue that it
 don't conflict with your principle, though I'm not that sure.

 On the contrary, I'm more sensitive to the theoretical consistency of
 a system than to its practical ability.

 Pei

Hi, Pei ...

I think your comments above are more apropos to Webmind than to Novamente.

For instance, in my bioinformatics and NLP narrow-AI work I have been
extremely impressed with SVM's for supervised categorization.

So, in the Webmind philosophy, we would have integrated SVM's into
Webmind to serve inside a supervised categorization agent.

In Novamente, OTOH, we use MOSES (probabilistic evolutionary learning)
for supervised categorization internally (e.g. for finding rules
regarding what properties characterize the extension of some concept)
... even though it is not always as accurate as SVM's.  The reasons
are twofold:

a) keeping the overall design as simple as possible
b) adherence to the principle of probabilistic semantics (yes, SVM's
output can be interpreted probabilistically, but that requires a lot
of contortions...)

-- Ben



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RE: [agi] new paper: What Do You Mean by AI?

2006-11-17 Thread Peter Voss
Hi Pei,

Just finished reading your Rigid Flexibility book; it's a nice summary of
your approach.

I can recommend it to anyone interested in AGI: If you agree with Pei's
general approach it provides quite a bit a detail; if you disagree, it
provides a coherent reference point.

Peter



-Original Message-
From: Pei Wang [mailto:[EMAIL PROTECTED] 
Sent: Friday, November 17, 2006 8:52 AM
To: agi@v2.listbox.com
Subject: [agi] new paper: What Do You Mean by AI?

Hi,

A new paper of mine is put on-line for comment. English corrections
are also welcome. You can either post to this mailing list or send me
private emails.

Thanks in advance.

Pei

---

TITLE: What Do You Mean by AI?

ABSTRACT: Many problems in AI study can be traced back to the
confusion of different research goals.  In this paper, five typical
ways to define AI are clarified, analyzed, and compared. It is argued
that though they are all legitimate research goals, they lead the
research to very different directions. Furthermore, most of them have
trouble to give AI a proper identity.

URL: http://nars.wang.googlepages.com/wang.AI_Definitions.pdf

-
This list is sponsored by AGIRI: http://www.agiri.org/email
To unsubscribe or change your options, please go to:
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Re: [agi] new paper: What Do You Mean by AI?

2006-11-17 Thread Pei Wang

Peter,

Thanks!

I look forward to the day when you can tell us more about a2i2. :-)

Pei

On 11/17/06, Peter Voss [EMAIL PROTECTED] wrote:

Hi Pei,

Just finished reading your Rigid Flexibility book; it's a nice summary of
your approach.

I can recommend it to anyone interested in AGI: If you agree with Pei's
general approach it provides quite a bit a detail; if you disagree, it
provides a coherent reference point.

Peter



-Original Message-
From: Pei Wang [mailto:[EMAIL PROTECTED]
Sent: Friday, November 17, 2006 8:52 AM
To: agi@v2.listbox.com
Subject: [agi] new paper: What Do You Mean by AI?

Hi,

A new paper of mine is put on-line for comment. English corrections
are also welcome. You can either post to this mailing list or send me
private emails.

Thanks in advance.

Pei

---

TITLE: What Do You Mean by AI?

ABSTRACT: Many problems in AI study can be traced back to the
confusion of different research goals.  In this paper, five typical
ways to define AI are clarified, analyzed, and compared. It is argued
that though they are all legitimate research goals, they lead the
research to very different directions. Furthermore, most of them have
trouble to give AI a proper identity.

URL: http://nars.wang.googlepages.com/wang.AI_Definitions.pdf

-
This list is sponsored by AGIRI: http://www.agiri.org/email
To unsubscribe or change your options, please go to:
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RE: [agi] new paper: What Do You Mean by AI?

2006-11-17 Thread Peter Voss
That'll be when you join our project...

... or buy our product...   :)


-Original Message-
From: Pei Wang [mailto:[EMAIL PROTECTED] 

Peter,

Thanks!

I look forward to the day when you can tell us more about a2i2. :-)

Pei

On 11/17/06, Peter Voss [EMAIL PROTECTED] wrote:
 Hi Pei,

 Just finished reading your Rigid Flexibility book; it's a nice summary
of
 your approach.

 I can recommend it to anyone interested in AGI: If you agree with Pei's
 general approach it provides quite a bit a detail; if you disagree, it
 provides a coherent reference point.

 Peter

-
This list is sponsored by AGIRI: http://www.agiri.org/email
To unsubscribe or change your options, please go to:
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