No subject
Ron Sun
rsun at cs.ua.edu
Sat May 28 18:57:45 EDT 1994
Preprint available:
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title:
Robust Reasoning: Integrating Rule-Based and Similarity-Based Reasoning
Ron Sun
Department of Computer Science
The University of Alabama
Tuscaloosa, AL 35487
rsun at cs.ua.edu
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to appear in: Artificial Intelligence (AIJ), Spring 1995
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The paper attempts to account for common patterns in commonsense reasoning
through integrating rule-based reasoning and similarity-based reasoning
as embodied in connectionist models. Reasoning examples are analyzed and
a diverse range of patterns is identified. A principled synthesis based on
simple rules and similarities is performed, which unifies these patterns that
were before difficult to be accounted for without specialized mechanisms
individually. A two-level connectionist architecture with dual representations
is proposed as a computational mechanism for carrying out the theory.
It is shown in detail how the common patterns can be generated
by this mechanism. Finally, it is argued that the brittleness problem
of rule-based models can be remedied in a principled way, with the theory
proposed here. This work demonstrates that
combining rules and similarities can result in more robust
reasoning models, and many seemingly disparate patterns of commonsense
reasoning are actually different manifestations of the same underlying process
and can be generated using the integrated architecture,
which captures the underlying process to a large extent.
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* It is FTPable from aramis.cs.ua.edu
in: /pub/tech-reports
* No hardcopy available.
* FTP procedure:
unix> ftp aramis.cs.ua.edu
Name: anonymous
Password: (email-address)
ftp> cd pub/tech-reports
ftp> binary
ftp> get sun.aij.ps.Z
ftp> quit
unix> uncompress sun.aij.ps.Z
unix> lpr sun.aij.ps (or however you print postscript)
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(A number of other publications are also available for
FTP under pub/tech-reports)
================================================================
Dr. Ron Sun
Department of Computer Science phone: (205) 348-6363
The University of Alabama fax: (205) 348-0219
Tuscaloosa, AL 35487 rsun at athos.cs.ua.edu
================================================================
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