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A pseudo‐neural system for hypothesis selection
Author(s) -
Burattini Ernesto,
Tamburrini Guglielmo
Publication year - 1992
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.4550070605
Subject(s) - computer science , ranking (information retrieval) , artificial neural network , artificial intelligence , selection (genetic algorithm) , representation (politics) , basis (linear algebra) , layer (electronics) , machine learning , variable (mathematics) , mathematics , mathematical analysis , chemistry , geometry , organic chemistry , politics , political science , law
The article describes a system for hypothesis elicitation and ranking formed by a net of computational elements obtained by modifying the classical neural model of Caianiello. This neural structure was chosen on the basis both of knowledge representation and of parallel processing considerations. the two fundamental components of the system are an elaboration layer and, in case the available evidences are insufficient to trigger explanatory hypotheses, a query layer that enables the system to gather additional information. Algorithms that help setting the crucial variable parameters of the net are described in the Appendix. © 1992 John Wiley & Sons, Inc.