How to give an agent attitude

Ray, Penny and Lukose, Dickson and Toleman, Mark (2000) How to give an agent attitude. In: 1st Workshop on Agent-Based Simulation, 2-3 May 2000, Passau, Germany.

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Abstract

The need to improve our knowledge about the emotional influences in humans and animals and explore affective theories in order to help us understand human-computer interactions with respect to usability and acceptance, has in recent years seen the advent of affective computing. In this paper, we propose a method for generating affective reasoning and decision making based on psychological theories of attitude. Our domain-independent, simulation environment, GOMASE, allows its agents to assess their beliefs and satisfy their goals based on their attitudes towards other agents and objects in their environment. This mechanism allows the agents to deal with situations where problem solutions are innumerable or time doesn't permit for finding the optimal answer. The motivation behind this research is to develop a computational model that will allow us to give artificial agents the abilities to evaluate their thoughts and actions. These assessments will form the building blocks on which to develop intelligent emotion generation.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: No indication of copyright restrictions preventing deposit.
Depositing User: Mrs Rae Jones
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 29 Sep 2010 00:03
Last Modified: 30 Aug 2013 02:16
Uncontrolled Keywords: agent; attitude; emotion; reasoning; decision-making
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0806 Information Systems > 080602 Computer-Human Interaction
17 Psychology and Cognitive Sciences > 1702 Cognitive Sciences > 170202 Decision Making
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI: http://eprints.usq.edu.au/id/eprint/5240

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