Evolution of Wandering Behavior in a Multi Agent System: An Experiment

In this article we discuss our approach to the evolution of wandering behavior in a multi agent system (MAS). Our discussion covers the various aspects of the system setup, the performed experiments and the interpretation of the results observed. Utilizing a genetic algorithm (GA) and multi layer perceptrons (ANN) we show how wandering behavior is developed provided a single fitness criterion. Finally we conclude by reviewing the proposed experiment and point out some future directions of research. Key–Words: Multi–Layer Perceptrons, Multi Agent System, Genetic Algorithm, Wandering Behavior, Artificial Neural Networks

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