Abstract
The concept of autonomy applied to computational agents refers to the ability of an agent to act without the direct intervention of human users in the selection and satisfaction of goals. Actual implementations of mechanisms to enable agents to display autonomy are, however, at an early stage of development and much remains to be done to fully explicate the issues involved in the development of such mechanisms. Motivation has been used by several researchers as such an enabler of autonomy in agents. In this paper we describe a motivational taxonomy, the 3 M Taxonomy, comprising domain, social and constraint motivations, which we argue is a sufficient range of motivations to enable autonomy in all the main aspects of agent activity. Underlying this taxonomy is a motivational model that describes how motivation can be used to bias an agent’s activities towards that which is important in a given context, and also how motivational influence can be dynamically altered through the use of motivational cues, that are features in the environment that signify important situations to an agent.
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References
Coddington, A.M., Luck, M.: Towards motivaiton-based plan evaluation. In: Russell, I., Haller, S. (eds.) Proceedings of Sixteenth International FLAIRS conference, pp. 298–302 (2003)
de Lioncourt, S., Luck, M.: Motivating intelligent agents for virtual environments. In: Proceedings of the Intelligent Virtual Agents Workshop, Salford (1999)
d’Inverno, M., Luck, M.: Understanding Agent Systems. Springer, Heidelberg (2001)
Ferber, J.: Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence. Addison Wesley Longman, Amsterdam (1999)
Griffiths, N.: Motivated Cooperation. PhD thesis, University of Warwick (2000)
Lopez y Lopez, F., Luck, M., d’Inverno, M.: Constraining autonomy through norms. In: Proceedings of the First International Conference on Autonomous Agents and Multi-Agent Systems (2002)
Luck, M., Munroe, S., d’Inverno, M.: Autonomy: Variable and generative. In: Castelfranchi, C., Hexmoor, H., Falcone, R. (eds.) Agent Autonomy, pp. 9–22. Kluwer, Dordrecht (2003)
Maes, P.: How to do the right thing. Connection Science 1(3) (1989)
Norman, T.J., Long, D.: Goal creation in motivated agents. In: Wooldridge, M., Jennings, N.R. (eds.) Intelligent Agents. LNCS (LNAI), vol. 890, pp. 277–290. Springer, Heidelberg (1995)
Simon, H.A.: Models of Thought. Yale University Press, New Haven (1979)
Sloman, A.: Motives, mechanisms, and emotions. Cognition and Emotion 1, 217–233 (1987)
Sloman, A., Croucher, M.: Why robots will have emotions. In: Proceedings of the Seventh International Joint Conference on Artificial Intelligence, Vancouver, B.C, pp. 197–202 (1981)
Spier, E., McFarland, D.: A finer-grained motivational model of behaviour sequencing. In: From Animals to Animats 4: Proceedings of the fourth conference on the Simulation of Adaptive Behavior (1996)
Wagner, T., Lesser, V.: Relating quantified motivations for organizationally situated. In: Jennings, N.R., Lesperance, Y. (eds.) Intelligent Agents VI — Proceedings of the Sixth International Workshop on Agent Theories, Architectures, and Languages. LNCS (LNAI), pp. 334–348. Springer, Heidelberg (1999)
Wooldridge, M., Jennings, N.R.: Intelligent agents: Theory and practice. Knowledge Engineering Review 10(2), 115–152 (1995)
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Munroe, S., Luck, M. (2004). Agent Autonomy Through the 3 M Motivational Taxonomy. In: Nickles, M., Rovatsos, M., Weiss, G. (eds) Agents and Computational Autonomy. AUTONOMY 2003. Lecture Notes in Computer Science(), vol 2969. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25928-2_5
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DOI: https://doi.org/10.1007/978-3-540-25928-2_5
Publisher Name: Springer, Berlin, Heidelberg
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