Emotional intelligence for intuitive agents

Ray, Penny and Toleman, Mark and Lukose, Dickson (2000) Emotional intelligence for intuitive agents. In: 6th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2000), 28 Aug-1 Sep 2000, Melbourne, Australia.

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: Series title: Lecture Notes in Computer Science, v.1886.
Depositing User: Mrs Rae Jones
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 25 Aug 2009 05:47
Last Modified: 30 Aug 2013 02:12
Uncontrolled Keywords: emotional intelligence; artificial intelligence; emotions
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 > 0803 Computer Software > 080309 Software Engineering
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: doi: 10.1007/3-540-44533-1_107
URI: http://eprints.usq.edu.au/id/eprint/5219

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