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Encoding techniques for complex information structures in connectionist systemsTwo general information encoding techniques called relative position encoding and pattern similarity association are presented. They are claimed to be a convenient basis for the connectionist implementation of complex, short term information processing of the sort needed in common sense reasoning, semantic/pragmatic interpretation of natural language utterances, and other types of high level cognitive processing. The relationships of the techniques to other connectionist information-structuring methods, and also to methods used in computers, are discussed in detail. The rich inter-relationships of these other connectionist and computer methods are also clarified. The particular, simple forms are discussed that the relative position encoding and pattern similarity association techniques take in the author's own connectionist system, called Conposit, in order to clarify some issues and to provide evidence that the techniques are indeed useful in practice.
Document ID
19900019046
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Barnden, John
(New Mexico State Univ. Las Cruces, NM, United States)
Srinivas, Kankanahalli
(New Mexico State Univ. Las Cruces, NM, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1990
Subject Category
Computer Programming And Software
Report/Patent Number
NASA-CR-186942
MCCS-90-186
NAS 1.26:186942
Accession Number
90N28362
Funding Number(s)
CONTRACT_GRANT: AF-AFOSR-0215-88
CONTRACT_GRANT: NAGW-1592
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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