A generic cognitive architecture framework with personality and emotions for crowd simulation

Crowd simulation has gained a great deal of attention recently due to its essential use in games and diverse 3D simulation. Incorporating psychological aspects into agents is an important task in order to build human-like agents in crowd simulation. However, traditional approaches incorporate psychological aspects into low-level agent parameters thus only work in specific environments. This paper proposes a generic cognitive architecture framework that implements psychological aspects to create human-like agents for general-purpose crowd simulation. We also present a computational model as a proof-of-concept.

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ISKE 2017: 12th International Conference on Intelligent Systems and Knowledge Engineering

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978-1-5386-1829-5

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