Abstract
Even a simple artificial agent will have to make decisions and consider their consequences. An agent can achieve this by evaluating situations along several dimensions. The BVG (Beliefs, Values and Goals) architecture is a means to build up such an evaluation machinery. The motivational part of the agent’s mind is captured by the concept of value, able to capture the preferences of the agent, which cannot be reduced to either beliefs or goals, or a combination of the two. We sketch a calculus for agent decision, and look into the problem of feedbacking the consequences of actions into the agent’s decision mechanism, in order to adjust its behaviour for future occasions. Finally, we describe an experiment where these ideas are put to test and look into its results to draw conclusions about their general applicability.
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References
Luis Antunes, Towards a model for value-based motivated agents, in proceedings of MASTA’97 (EPIA’97 workshop on Multi-agent Systems: Theory and Applications), Coimbra, October 1997.
Luis Antunes, Luis Moniz and Carlos Azevedo, RB+: The dynamic estimation of the opponent’s strength, in proceedings of the AISB Conference, IOS Press, Birmingham 1993.
Robert Axelrod, A model of the emergence of new political actors, in Artificial Societies — The computer simulation of social life (proceedings of SimSoc’93), Nigel Gilbert and Rosaria Conte (eds.), University College London Press, 1995.
José M. Bernardo and Adrian F. M. Smith, Bayesian Theory, John Wiley and Sons, Chichester 1994.
A. Blandford, Two prototype architectures for rational interacting agents, in John Bell, Zhisheng Huang and Simon Parsons (eds.), Proceedings of the Second Workshop on Practical Reasoning and Rationality, Manchester, United Kingdom, April 1997.
Luis Botelho and Helder Coelho, Agents that rationalize their decisions, proceedings of ICMAS’96, 11–13 December, Kyoto, AAAI Press, pages 3–10, 1996.
Michael E. Bratman, Intentions, Plans and Practical Reasoning, Harvard University Press, London, 1987.
C. Castelfranchi, Social Power. A point missed in Multi-Agent, DAI and HCI., in Decentralized AI-Proceedings of MAAMAW’90, Yves Demazeau and J.P. Müller (Eds.), Elsevier Science Publishers B. V., Amesterdam, 1990.
Cristiano Castelfranchi, Maria Miceli, and Amedeo Cesta, Dependence relations among autonomous agents, in Decentralized AI 3, Eric Werner and Yves Demazeau (eds.), Elsevier Science Publishers B. V., Amesterdam, 1992.
Philip R. Cohen and Hector J. Levesque, Intention = Choice + Commitment, Proceedings of AAAI’87, 1987.
Martin Hollis, The Philosophy of Social Science-An Introduction. Cambridge: Cambridge University Press, 1994.
David Kinny and Michael Georgeff, Commitment and Effectiveness of Situated Agents, Proceedings of IJCAI’91, Sydney, Australia, 1991.
Maria Miceli and Cristiano Castelfranchi, A Cognitive Approach to Values, Journal for the Theory of Social Behaviour, 19, 2 June 1989.
Maria Miceli and Cristiano Castelfranchi, Evaluation: A bridge between knowledge and goals, Proceedings of the Summer School of Artificial Intelligence, Bulgarian Academy of Sciences, Varna, Bulgaria, 1990.
Maria Miceli and Cristiano Castelfranchi, The Cognition of Value — A cognitive theory of the evaluation mechanisms and processes, FrancoAngeli, Milano, 1992 (in Italian).
Hyacinth Nwana, Lyndon Lee and Nick Jennings, Coordination in Software Agent Systems, BT Technology Journal, 14(4), 1996.
Greg M. P. O’Hare and Nick R. Jennings, Foundations of Distributed Artificial Intelligence, John Wiley, New York, 1996.
Michel Cabanac, Pleasure: The Answer to Conflicting Motivations, in Jean-Arcady Meyer and Stewart W. Wilson (eds.), From Animals to Animats: Proceedings of SAB’90, The MIT Press, Cambridge MA, 1991.
Martha E. Pollack and Marc Ringuette, Introducing the tileworld: experimentally evaluating agent architectures, in Proceedings of AAAI’90, 1990.
Anand S. Rao and Michael P. Georgeff, Modeling Rational Agents within a BDI-Architecture, in proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning, Morgan Kaufmann, 1991.
Stuart Russell and Peter Norvig, Artificial intelligence: a modern approach, Prentice Hall, 1995.
A. Santos, H. Rebelo, M. Magalhães and R. Carvalho, Experimental economics: the centipede game, mimeo, ISCTE, Lisboa, 1998 (in Portuguese).
Jaime Sichman, Du raisonnement social chez les agents, une approche fondée sur la théorie de la dépendance, Thèse de Doctorat, Institut National Polytechnique de Grenoble, 1995.
Herbert Simon, The Sciences of the Artificial (3rd edition), the MIT Press, Cambridge, 1996.
Michael Wooldridge and Simon Parsons, Intention Reconsideration Reconsidered, Pre-Proceedings of ATAL’98, 4–7 July, Paris, 1998.
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© 1999 Springer-Verlag Berlin Heidelberg
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Antunes, L., Coelho, H. (1999). Decisions Based upon Multiple Values: The BVG Agent Architecture. In: Barahona, P., Alferes, J.J. (eds) Progress in Artificial Intelligence. EPIA 1999. Lecture Notes in Computer Science(), vol 1695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48159-1_21
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DOI: https://doi.org/10.1007/3-540-48159-1_21
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