Agent based Artificial Immune System

نویسندگان

  • António Grilo
  • Artur Caetano
  • Agostinho Rosa
چکیده

Genetic algorithms and cellular automata are two computational approaches to model complex adaptive systems. Here is described an immune system simulator that uses a cellular automaton to model the physical environment along with a genetic algorithm to attain adaptation and selection. Agent genetic coding comprised within the genotype is a set of rules which expresses behavior. Moreover, an agent includes a collection of operators which use the genetic code in order to interact with other agents and physical sites. We also depict the system’s methodology as well as some of the obtained results.

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تاریخ انتشار 2001