3 research outputs found
Belief Revision by Lamarckian Evolution
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 mu-
tations 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
Belief Revision by Lamarckian Evolution
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. Beside