Abstract
This paper describes a new approach that automatically builds human behavior models for simulated agents by observing human performance. This research synergistically combines Context-Based Reasoning, a paradigm especially developed to model tactical human performance within simulated agents, with Genetic Programming that is able to construct the behavior knowledge in accordance to the Context-Based Reasoning paradigm.
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References
Fernlund, H.: Evolving Models from Observed Human Performance, Doctoral dissertation, Department of Electrical and Computer Engineering, University of Central Florida (Spring 2004)
Gonzalez, A.J., Ahlers, R.H.: Context-Based Representation of Intelligent Behavior in Training Simulations. Transactions of the Society for Computer Simulation International 15(4) (December 1998)
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© 2004 Springer-Verlag Berlin Heidelberg
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Fernlund, H., Gonzalez, A.J. (2004). Using GP to Model Contextual Human Behavior. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24855-2_78
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DOI: https://doi.org/10.1007/978-3-540-24855-2_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22343-6
Online ISBN: 978-3-540-24855-2
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