The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Evolutionary Computation as a Paradigm for Engineering Emergent Behaviour in Multi-Agent Systems
|
Author(s): 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
Source title:
Intelligent Agent Software Engineering
Source Author(s)/Editor(s): Valentina Plekhanova (University of Sunderland, UK)
DOI: 10.4018/978-1-59140-046-2.ch006
Purchase
|
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.
Related Content
Babita Srivastava.
© 2024.
21 pages.
|
Sakuntala Rao, Shalini Chandra, Dhrupad Mathur.
© 2024.
27 pages.
|
Satya Sekhar Venkata Gudimetla, Naveen Tirumalaraju.
© 2024.
24 pages.
|
Neeta Baporikar.
© 2024.
23 pages.
|
Shankar Subramanian Subramanian, Amritha Subhayan Krishnan, Arumugam Seetharaman.
© 2024.
35 pages.
|
Charu Banga, Farhan Ujager.
© 2024.
24 pages.
|
Munir Ahmad.
© 2024.
27 pages.
|
|
|