Sinclair, Jacob, and Lee, Ickjai (2017) A generic cognitive architecture framework with personality and emotions for crowd simulation. In: Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering. 154. From: ISKE 2017: 12th International Conference on Intelligent Systems and Knowledge Engineering, 24-26 November 2017, Nanjing, China.

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Abstract

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.

Item ID:	52221
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-5386-1829-5
Related URLs:	https://researchonline.jcu.edu.au/65241/
Additional Information:	A version of this publication was included as Chapter 6 of the following PhD thesis: Sinclair, Jacob Antony (2020) A data-driven approach towards a realistic and generic crowd simulation framework. PhD thesis, James Cook University, which is available Open Access in ResearchOnline@JCU. Please see the Related URLs for access.
Date Deposited:	22 Mar 2018 00:51
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460207 Modelling and simulation @ 100%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890201 Application Software Packages (excl. Computer Games) @ 100%
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