Emotional influences on perception in artificial agents

Baillie-de Byl, Penny (2003) Emotional influences on perception in artificial agents. Informatica: Journal of Computing and Informatics, 27 (2). pp. 127-135. ISSN 0350-5596

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Abstract

This paper proposes a model of emotionally influenced perception in an affective agent. Via a multidimensional representation of emotion, a mechanism called the affective space is used to emotionally filter sensed stimuli in the agent's environment. This filtering process allows different emotional states in the agent to create dissimilar emotional reactions when the agent is exposed to the same stimuli. In humans, emotion cannot be a mechanism that enhances intelligence and then isolated from other psychological and physiological functions. As this paper suggests, emotion is an integral part of the human as a biological being and therefore they cannot be turned on and off on a whim. However, this luxury is afforded to the artificial agent. This approach builds on contemporary affective agent architectural concepts as it not only gives an agent the ability to use emotion to produce human-like intelligence, but it also investigates how emotion should affect the agent's other abilities, such as perception


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Electronic version unavailable.
Depositing User: Ms Leslie Blay
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 10 Jun 2010 23:34
Last Modified: 29 Jun 2012 01:44
Uncontrolled Keywords: affective computing; agents; decision-making; emotion; perception; artificial intelligence; computational complexity; human engineering
Fields of Research (FOR2008): 17 Psychology and Cognitive Sciences > 1701 Psychology > 170112 Sensory Processes, Perception and Performance
01 Mathematical Sciences > 0104 Statistics > 010402 Biostatistics
17 Psychology and Cognitive Sciences > 1701 Psychology > 170110 Psychological Methodology, Design and Analysis
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970117 Expanding Knowledge in Psychology and Cognitive Sciences
URI: http://eprints.usq.edu.au/id/eprint/8277

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