A. Bonarini et F. Basso, LEARNING TO COMPOSE FUZZY BEHAVIORS FOR AUTONOMOUS AGENTS, International journal of approximate reasoning, 17(4), 1997, pp. 409-432
We present S-ELF, an evolutionary algorithm that we have developed to
learn the context of activation of fully logic controllers implementin
g fuzzy behaviors for an autonomous agent. S-ELF learns context metaru
les that are used to coordinate basic behaviors in order to perform co
mplex tasks in a partially and imprecisely known environment Context m
etarules are expressed in terms of positive and negated fuzzy predicat
es. We also show how S-ELF can learn robust and portable behaviors, th
us reducing the time and effort to design behavior-based agents. (C) 1
997 Elsevier Science Inc.