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dc.contributor.authorSoon, Hui-Shin Vivienen_US
dc.contributor.authorTan, Ah-Hweeen_US
dc.date.accessioned2011-11-14T18:19:22Z
dc.date.available2011-11-14T18:19:22Z
dc.date.issued1993-01en_US
dc.identifier.urihttp://hdl.handle.net/2144/2009
dc.description.abstractMost associative memory models perform one level mapping between predefined sets of input and output patterns1 and are unable to represent hierarchical knowledge. Complex AI systems allow hierarchical representation of concepts, but generally do not have learning capabilities. In this paper, a memory model is proposed which forms concept hierarchy by learning sample relations between concepts. All concepts are represented in a concept layer. Relations between a concept and its defining lower level concepts, are chunked as cognitive codes represented in a coding layer. By updating memory contents in the concept layer through code firing in the coding layer, the system is able to perform an important class of commonsense reasoning, namely recognition and inheritance.en_US
dc.language.isoen_USen_US
dc.publisherBoston University Center for Adaptive Systems and Department of Cognitive and Neural Systemsen_US
dc.relation.ispartofseriesBU CAS/CNS Technical Reports;CAS/CNS-TR-1993-032en_US
dc.rightsCopyright 1993 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.en_US
dc.titleA Memory Model for Concept Hierarchy Representation and Commonsense Reasoningen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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