Using cluster specific salience weighting to determine the preferences of agents for multi-agent simulations

Author

Gunderson, Louise F. ; Brown, Donald E.

Author_Institution

Dept. of Syst. & Inf. Eng., Virginia Univ., Charlottesville, VA, USA

Volume

3

fYear

2001

fDate

2001

Firstpage

1465

Abstract

One of the methods used to simulate human behavior is the multi-agent model. However, without survey data or the opinion of experts, the preferences of agents in these models are difficult to discover. In the domain of crime, in specific burglary, this information is not. available or is prohibitively expensive to obtain. This paper presents a new methodology for the discovery of these preferences. This methodology uses sequential clustering to discover both the preferences of the agents and the salience of these features to the agent. This result is compared with existing clustering methodologies and is demonstrated to be superior. Finally, the model in which these agents will be used is described

Keywords

behavioural sciences; multi-agent systems; pattern clustering; agent preference determination; burglary; cluster specific salience weighting; crime; human behavior simulation; multi-agent simulations; sequential clustering; Artificial intelligence; Automata; Biological system modeling; Cities and towns; Computational biology; Humans; Predictive models; Psychology; Statistical analysis; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2001 IEEE International Conference on

Conference_Location

Tucson, AZ

ISSN

1062-922X

Print_ISBN

0-7803-7087-2

Type

conf

DOI

10.1109/ICSMC.2001.973489

Filename

973489