Abstract
Modeling the behavior of systems is a fundamental part of a simulation. Behavior can include the reactions and interactions of components of physical systems to environmental conditions, or the reactions and interactions of individuals, organizations and societies. Physical systems are governed by the laws of physics and therefore follow theoretical equations, which may or may not be well understood. Simulations of physical systems can be used to inform, substitute for or extend physical experiments, which may be expensive or difficult to perform in the real world. Human behavior modeling is more difficult, because humans are complex and unpredictable and the theories describing the behavior of humans are diverse and incomplete. Human behavioral modeling is motivated by the desire to understand how humans as individuals or groups will respond to changes in the environment. This chapter introduces an array of human behavior representation requirements and reviews commonly applied representation paradigms, including computational benefits and limitations of each.
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Notes
- 1.
C4.5 is an updated and extended version of the ID3 algorithm.
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Acknowledgment
The authors express their sincere appreciation to Dr. Mike van Lent for authorizing the use of supporting graphics.
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Henninger, A., Whitaker, E. (2015). Modeling Behavior. In: Loper, M. (eds) Modeling and Simulation in the Systems Engineering Life Cycle. Simulation Foundations, Methods and Applications. Springer, London. https://doi.org/10.1007/978-1-4471-5634-5_8
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