Game Theory

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The last two also cover influence diagrams and so deal with network models for the whole of decision theory (in contrast Pearl and Castillo et at. deal only with probability). Finally, (Puterman, 1994) is a comprehensive introduction to Markov decision Game Theory and Decision Theory 27 processes, but for work in this area much of the most relevant material has only yet appeared in journal and conference papers. Notes 1. You can calculate it as a ration of occurrence to the total number of events, but what counts as an occurrence?

Dawid, A. , Lauritzen, S. , and Spiegelhalter, D. J. (1999). Probabilistic Networks and Expert Systems. Springer Verlag, Berlin, Germany. Howard, R. A. and Matheson, J. E. (1984). Influence diagrams. In Howard, R. A. and Matheson, J. , editors, Readings on the Principles and Applications of Decision Analysis, pages 719-762. Strategic Decisions Group, Menlo Park, CA. 28 Game Theory and Decision Theory in Agent-based Systems Jensen, F. V. (2001). Bayesian Networks and decision graphs. Springer Verlag, New York, NY.

Shafer, G. (1992). Can the various meanings of probability be reconciled? In Keren, G. , editors, A Handbook for Data Analysis in the Behavioural Sciences. Lawrence Erhlaum, Hillsdale, NJ. Smith, J. Q. (1999). Decision Analysis: A Bayesian Approach. Springer Verlag, Berlin. Zagare, F. C. (1984). Game Theory: Concepts and Applications. Sage Publications: Beverly Hills, CA. edu Abstract The goal of a rational agent is to maximize utility. We consider situations where a rational agent has to choose one of several contenders to enter into a partnership.

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