Agents with attitude

Ray, Penny and Lukose, Dickson and Toleman, Mark (2000) Agents with attitude. In: 6th International Conference on the Simulation of Adaptive Behaviour SAB 2000): From Animals to Animats 6 , 11-15 Sep 2000, Paris, France.

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Abstract

Incorporating emotional factors into logical machines is a relatively new and exciting area of research. The motivation behind much of this work has been to improve our knowledge about emotional affects in humans and animals, exploration of affective theories and to better understand human-computer interaction with respect to usability and acceptance. In this paper we propose a method for affective reasoning and decision making. Our domain-independent, simulation environment, GOMASE, allows its agents to assess their beliefs and satisfy their goals based on their feelings about themselves, 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. To examine our agents, we have presented a solution to a challenging problem-solving scenario posed by Picard endeavouring to examine the affective reasoning capabilities of our agents.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: No evidence 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 01:47
Uncontrolled Keywords: affective computing; emotions; intelligent agents; attitude
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0806 Information Systems > 080602 Computer-Human Interaction
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080102 Artificial Life
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/5246

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