Pei,
Given your description, I agree B2 is the way to go.  At Cycorp, the inductive 
(e.g. rule induction), abductive (e.g. hypothesis generation), and analogical 
reasoning engines I observed were all supported by deductive inference.  I also 
a member of a Cycorp team that collaborated with Pedro Domingos' group at the 
university of Washington regarding probabilistic reasoning.

-Steve
 
Stephen L. Reed 
Artificial Intelligence Researcher
http://texai.org/blog
http://texai.org
3008 Oak Crest Ave.
Austin, Texas, USA 78704
512.791.7860

----- Original Message ----
From: Pei Wang <[EMAIL PROTECTED]>
To: [email protected]
Sent: Thursday, February 14, 2008 10:28:50 AM
Subject: [agi] reasoning & knowledge

 Steve,

To  me,  the  following  two  questions  are  independent  of  each  other:

*.  What  type  of  reasoning  is  needed  for  AI?  The  major  answers  are:
(A):  deduction  only,  (B)  multiple  types,  including  deduction,
induction,  abduction,  analogy,  etc.

*.  What  type  of  knowledge  should  be  reasoned  upon?  The  major  answers
are:  (1)  declarative  only,  (2)  declarative  and  procedural.

All  four  combination  of  the  two  answers  are  possible.  Cyc  is  mainly
A1;  you  seem  to  suggest  A2;  in  NARS  it  is  B2.

McDermott's  paper  has  many  good  points,  but  his  notion  of  "logic"  and
"semantics"  are  too  limited  ---  to  what  the  "Logicist  AI"  has  been
trying.

As  for  Semantic  Web  and  Ontology,  I  have  no  doubt  that  there  are
useful  for  some  special  applications.  However,  from  an  AGI  point  of
view,  their  assumption  about  human  knowledge  is  way  to  oversimplified.
I  don't  think  the  so-called  "common  knowledge"  can  be  forced  into  the
rigid  framework  of  "ontology",  not  to  mention  personal  knowledge,
which  is  even  more  fluid.

Even  so,  we  can  use  SW  as  a  possible  knowledge  source,  and  use
inference  engine  to  reveal  hidden  conclusions  in  it,  so  SW  is  still
relevant  to  AGI.

Pei









      
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