A study of group size and communication in an evolving fuzzy-controlled population

Author

McKennoch, Sam ; Hoyt, Sean ; Bushnell, L.G.

Author_Institution

Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA

Volume

2

fYear

2004

fDate

25-29 July 2004

Firstpage

895

Abstract

This research effort is an investigation into communication activity in a distributed set of software agents. Agents exist in a predator-prey environment. Movements of prey agents are evolved upon a Mamdani type fuzzy inference system. Probabilistic predation and starvation forces, along with simulated communication activity act upon agents, causing them to cluster. Examined here is the correlation between mean cluster size after the population has sufficiently evolved, versus the average agent communication activity. Communication activity creates a loyalty to remain in a cluster for security rather than to change cluster membership. A mean r² correlation of 0.87 was observed with this system, thus lending credence to our hypothesis.

Keywords

correlation theory; fuzzy control; fuzzy reasoning; fuzzy systems; multi-agent systems; predator-prey systems; probability; software agents; Mamdani type fuzzy inference system; cluster size; communication activity; fuzzy controlled population; mean r² correlation; predator-prey environment; probabilistic predation; software agents; starvation forces; Application software; Communication system security; Computer science; Fuzzy systems; Multiagent systems; Parallel robots; Power engineering and energy; Scalability; Software agents; Space exploration;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on

ISSN

1098-7584

Print_ISBN

0-7803-8353-2

Type

conf

DOI

10.1109/FUZZY.2004.1375525

Filename

1375525