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ASME Press Select Proceedings

Intelligent Engineering Systems through Artificial Neural Networks Volume 18

Editor
Cihan H. Dagli
Cihan H. Dagli
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ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

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.

Abstract
1 Introduction
2. Multi-Agent Programming Paradigm
3. Kinetics of the Multi-Agent System
4. Simulation Examples
5 Multi-Agent Toolkits
6 Conclusions
References
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