Title
Nonmonotonic reasoning by inhibition nets II
Abstract
This paper is a sequel to Leitgeb. We show that certain networks called 'inhibition nets' may be regarded as mechanisms drawing nonmonotonic inferences if only an interpretation of net states as states of belief is introduced. We prove that each of the cumulative logical systems studied by Kraus et al. are sound and complete with respect to certain classes of such interpreted inhibition nets. Thus, there is an adequate cognitive network semantics for the systems C, CL, P, CM, and M of (nonmonotonic) logic.
Year
DOI
Venue
2003
10.1142/S0218488503002454
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Keywords
Field
DocType
adequate cognitive network semantics,systems c,nonmonotonic inference,nonmonotonic reasoning,certain class,cumulative logical system,inhibition net,certain network
Cumulativity,Non-monotonic logic,Artificial intelligence,Semantics,Mathematics,Cognitive network
Journal
Volume
Issue
ISSN
11
Supplement
0218-4885
Citations 
PageRank 
References 
2
0.59
6
Authors
1
Name
Order
Citations
PageRank
Hannes Leitgeb111519.26