Abstract
Research in human emotion has provided insight into how emotions influence human cognitive structures and processes, such as perception, memory management, planning and behavior. This information also provides new ideas to researchers in the fields of affective computing and artificial life about how emotion simulation can be used in order to improve artificial agent behavior. This paper describes an emotion-driven artificial agent architecture based on rule-based systems that not attempts to provide complex believable behavior and representation for virtual characters, as well as attempts to improve agent performance and effectiveness by mimicking human emotion mechanics such as motivation, attention narrowing and the effects of emotion on memory. To this end, our approach uses an inference engine, a truth maintenance system and emotion simulation to achieve reasoning, fast decision-making intelligent artificial characters.
The work has been funded by the Sectoral Operational Programme Human Resources Development 2007-2013 of the Romanian Ministry of Labour, Family and Social Protection through the Financial Agreement POSDRU/88/1.5/S/61178.
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Lungu, V. (2013). Artificial Emotion Simulation Model and Agent Architecture: Extended. In: Dumitrache, L. (eds) Advances in Intelligent Control Systems and Computer Science. Advances in Intelligent Systems and Computing, vol 187. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32548-9_15
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DOI: https://doi.org/10.1007/978-3-642-32548-9_15
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