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.