Emotional intelligence for intuitive agents

Baillie, Penny and Toleman, Mark and Lukose, Dickson (2000) Emotional intelligence for intuitive agents. In: International Conference on Artificial Intelligence in Science and Technology (AISAT 2000), 17-20 Dec 2000, Hobart, Australia.

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Abstract

Currently, there are no machines with emotions that influence their reasoning, perception and decision-making abilities to the degree that emotions affect human behaviour in these areas. This could be for two reasons. Firstly, emotions have traditionally been broadly defined and no discrete categorization had been formulated, and secondly, emotions have been viewed as opposing logic, the very basis for computational machines, and as a disruption to rational reasoning and function. It is the very contrasting evidence in recent research that has seen a renewed enthusiasm into emotional research. The role of emotion in rational human behaviour may have a larger impact on cognitive processes than first thought. In this paper, we define emotions and discuss the importance that they will have on artificial intelligences of the future.

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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 01:52
Uncontrolled Keywords:	emotions; emotional intelligence
Fields of Research :	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:	E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI:	http://eprints.usq.edu.au/id/eprint/5265

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