Belief Revision by Lamarckian Evolution

Evelina Lamma, Fabrizio Riguzzi, and Luís Moniz Pereira. In E. J. W. Boers et al., editor, First European Workshop on Evolutionary Learning (EvoLEARN2001), number 2037 in Lecture Notes in Computer Science, pages 406--416. Springer-Verlag, April 2001.

Abstract

We propose a multi-agent genetic algorithm to accomplish belief revision. The algorithm implements a new evolutionary strategy resulting from a combination of Darwinian and Lamarckian approaches. Besides encompassing the Darwinian operators of selection, mutation and crossover, it comprises a Lamarckian operator that mutates the genes in a chromosome that code for the believed assumptions. These self mutations are performed as a consequence of the chromosome phenotype's experience obtained while solving a belief revision problem. They are directed by a belief revision procedure which relies on tracing the logical derivations leading to inconsistency of belief, so as to remove the latter's support on the gene coded assumptions, by mutating the genes.

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E Lamma, elamma@deis.unibo.it,

F Riguzzi, friguzzi@deis.unibo.it,