Abstract
Emotions play an important role in human decision making. This often has a beneficial effect, and so it is desirable to explore whether emotions can also play a role in agent decision making. This paper builds on several pieces of earlier work which resulted in a formalization of a model of emotions. We show how, in particular, the emotions of gratitude and displeasure and related emotions can be beneficially integrated into a model of decision making. The model of decision making used is based on a notion of choosing between competing justifications according to the agent’s preferences over the social values promoted by the available actions. Emotions of gratitude and displeasure are generated according to whether other agents relevant to the situation support or frustrate the agent’s goals and values, and the emotional attitude towards the other agents then influences the ranking of these values, and so affects future choices. The paper summarizes the previous work on which we build, describes the decision making model we use, and explains how emotions are generated and used within that model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Atkinson, K., Bench-Capon, T.J.M.: Practical reasoning as presumptive argumentation using action based alternating transition systems. Artif. Intell. 171(10-15), 855–874 (2007)
Atkinson, K., McBurney, P., Bench-Capon, T.: Computational representation of practical arguments. In: Knowledge, rationality and action, pp. 191–240 (2006)
BenchCapon, T.: Persuasion in practical argument using value-based argumentation frameworks. Journal of Logic and Computation 13(3), 429–448 (2003)
Bratman, M.E., Israel, D.J., Pollack, M.E.: Plans and resource-bounded practical reasoning. Computational Intelligence 4, 349–355 (1988)
Damasio, A.: Descartes’ Error. G.P. Putnams Sons (1994)
Dung, P.M.: On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming. Artificial Intelligence (1995)
Jiang, H., Vidal, J.M., Huhns, M.N.: Ebdi: an architecture for emotional agents. In: Proceedings of AAMAS 2007, pp. 1–3. ACM, New York (2007)
Meyer, J.J.: Towards a quantitative model of emotions for intelligent agents. In: Emotions and computing (2007)
Nawwab, F.S., Bench-Capon, T.J.M., Dunne, P.E.: A methodology for action-selection using value-based argumentation. In: Besnard, P., Doutre, S., Hunter, A. (eds.) Proceedings of COMMA 2008. Frontiers in Artificial Intelligence and Applications, vol. 172, pp. 264–275. IOS Press, Amsterdam (2008)
Ortony, A., Clore, G., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1988)
Padgham, L., Taylor, G.: A system for modelling agents having emotion and personality. In: Cavedon, L., Wobcke, W., Rao, A.S. (eds.) PRICAI-WS 1996. LNCS, vol. 1209, pp. 59–71. Springer, Heidelberg (1997)
Reilly, W.S.: Believable social and emotional agents. PhD thesis, Carnegie Mellon University, CMU (1996)
Steunebrink, B.R., Dastani, M., Meyer, J.-J.C.: A logic of emotions for intelligent agents. In: AAAI, pp. 142–147. AAAI Press, Menlo Park (2007)
Wooldridge, M., van der Hoek, W.: On obligations and normative ability: Towards a logical analysis of the social contract. J. Applied Logic 3(3-4), 396–420 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nawwab, F.S., Bench-Capon, T., Dunne, P.E. (2010). Emotions in Rational Decision Making. In: McBurney, P., Rahwan, I., Parsons, S., Maudet, N. (eds) Argumentation in Multi-Agent Systems. ArgMAS 2009. Lecture Notes in Computer Science(), vol 6057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12805-9_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-12805-9_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12804-2
Online ISBN: 978-3-642-12805-9
eBook Packages: Computer ScienceComputer Science (R0)