Genes and Ants for Default Logic

Pascal Nicolas, Frederic Saubion, and Igor Stephan

Default Logic and Logic Programming with stable model semantics are recognized as powerful frameworks for incomplete information representation. Their expressive power are suitable for non monotonic reasoning, but the counterpart is their very high level of theoretical complexity. The purpose of this paper is to show how heuristics issued from combinatorial optimization and operation research can be used to built non monotonic reasonning systems.

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.