Creating Affective Autonomous Characters Using Planning in Partially Observable Stochastic Domains

The ability to reason about and respond to their own emotional states can enhance the believability of Non-Player Characters (NPCs). In this paper, we use a Partially Observable Markov Decision Process (POMDP)-based framework to model emotion over time. A two-level appraisal model, involving quick a...

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Veröffentlicht in:	IEEE transactions on computational intelligence and AI in games. Jg. 9; H. 1; S. 42 - 62
Hauptverfasser:	Huang, Xiangyang, Zhang, Shudong, Shang, Yuanyuan, Zhang, Weigong, Liu, Jie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.03.2017
Schlagworte:	Affective computing Appraisal Computational modeling emotion dynamics Games Markov processes Planning POMDP primary and secondary emotions probabilistic computation tree logic (PCTL) Psychology Uncertainty
ISSN:	1943-068X, 1943-0698
Online-Zugang:	Volltext
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