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Published in:
2010 | OriginalPaper | Chapter
Evaluation of Techniques for a Learning-Driven Modeling Methodology in Multiagent Simulation
Authors : Robert Junges, Franziska Klügl
Published in: Multiagent System Technologies
Publisher: Springer Berlin Heidelberg
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There have been a number of suggestions for methodologies supporting the development of multiagent simulation models. In this contribution we are introducing a learning-driven methodology that exploits learning techniques for generating suggestions for agent behavior models based on a given environmental model. The output must be human-interpretable. We compare different candidates for learning techniques – classifier systems, neural networks and reinforcement learning – concerning their appropriateness for such a modeling methodology.