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Learning agent-behavior for agent-based simulation using genetic algorithms

 
: Wolters, B.; Steffens, T.

Bertelle, C. ; European Technology Institute -ETI-:
European Simulation and Modelling Conference, ESM 2008 : Le Havre, France, October 27 - 29, 2008
Ghent: EUROSIS-ETI, 2008
ISBN: 978-90-77381-44-1
S.284-288
European Simulation and Modeling Conference (ESM) <2008, Le Havre>
Englisch
Konferenzbeitrag
Fraunhofer IAIS ()
agent-behavior; genetic algorithm; Peri net; multi agent; learning behaviour; simulation

Abstract
Agent-based simulation is a convenient method to analyse different strategies for specific scenarios, such as evacuating a crisis region or driving a convoi through unsecure areas. The quality of the simulation results depends heavily on the accuracy and diversity of the modelled agent-behavior. This paper presents a method to learn such agent-behavior automatically in order to acquire near-optimal strategies.

: http://publica.fraunhofer.de/dokumente/N-92473.html