Evolutionary Computation as a Paradigm for Engineering Emergent Behaviour in Multi-Agent Systems

Evolutionary Computation as a Paradigm for Engineering Emergent Behaviour in Multi-Agent Systems

Robert E. Smith (The University of the West of England, UK) and Claudio Bonacina (The University of the West of England, UK)
Copyright: © 2003 |Pages: 19
DOI: 10.4018/978-1-59140-046-2.ch006
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

In the multi-agent system (MAS) context, the theories and practices of evolutionary computation (EC) have new implications, particularly with regard to engineering and shaping system behaviors. Thus, it is important that we consider the embodiment of EC in “real” agents, that is, agents that involve the real restrictions of time and space within MASs. In this chapter, we address these issues in three ways. First, we relate the foundations of EC theory to MAS and consider how general interactions among agents fit within this theory. Second, we introduce a platform independent agent system to assure that our EC methods work within the generic, but realistic, constraints of agents. Finally, we introduce an agent-based system of EC objects. Concluding sections discuss implications and future directions.

Complete Chapter List

Search this Book:
Reset