Intelligent Engineering Systems through Artificial Neural Networks Volume 18
12 Agents for Bio-Inspired Systems
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An agent-based programming paradigm is described for the evolution of bio-inspired complex systems, e.g., genetic, and active walker (swarm and ant intelligence) models. Since the reaction rules are inherently parallel, any number of actions can be performed cooperatively or competitively among the subsets of the agents, so that the system reaches an equilibrium (or an emergent) state. We consider how this paradigm can be implemented through agent architectures - Adaptive agent and the Java-based Cougaar.