Abstract
Neoclassical game theory focuses exclusively on individual preferences, which are more naturally attuned to competitive, rather than cooperative, decision scenarios. Conditional game theory differs from classical theory in two fundamental ways. First, it involves a utility structure that permits agents to define their preferences conditioned on the preferences of other agents, and second, it accommodates a notion of group rationality as well as individual rationality. The resulting framework permits a notion of group preferences to be defined, and permits solution concepts that account for both individual and group interests.
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References
Arrow, K.J.: Social Choice and Individual Values, 2nd edn. John Wiley, New York (1951,1963)
Arrow, K.J.: Rationality of self and others in an economic system. In: Hogarth, R.M., Reder, M.W. (eds.) Rational Choice. University of Chicago Press, Chicago (1986)
Camerer, C.: Behavioral Game Theory: Experiments in Strategic Interaction. Princeton Univ. Press, Princeton (2003)
Cowell, R.G., Dawid, A.P., Lauritzen, S.L., Spiegelhalter, D.J.: Probabilistic Networks and Expert Systems. Springer, New York (1999)
Cox, R.T.: Probability, frequency, and reasonable expectation. American Journal of Physics 14, 1–13 (1946)
Debreu, G.: Theory of Value. Yale University Press, New Haven (1959)
Friedman, M.: Price theory. Aldine Press, Chicago (1961)
Jaynes, E.T.: Probability Theory: The Logic of Science. Cambridge University Press, Cambridge (2003)
Keeney, R.L., Raiffa, H.: Decisions with Multiple Objectives. Cambridge University Press, Cambridge (1993); First published by John Wiley & Sons (1976)
Luce, R.D., Raiffa, H.: Games and Decisions. John Wiley, New York (1957)
Nisan, N., Roughgarden, T., Tardos, E., Vazirani, V.V. (eds.): Algorithmic Game Theory. Cambridge Univ. Press, Cambridge (2007)
Parsons, S., Gmytrasiewicz, P., Wooldridge, M. (eds.): Game Theory and Decision Theory in Agent-Based Systems. Kluwer, Boston (2002)
Pearl, J.: Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann, San Mateo (1988)
Rawls, J.B.: A Theory of Justice. Harvard University Press, Cambridge (1971)
Shoham, Y., Leyton-Brown, K.: Multiagent Systems. Cambridge University Press, Cambridge (2009)
Shubik, M.: Game Theory in the Social Sciences. MIT Press, Cambridge (1982)
Vlassis, N. (ed.): A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence. Morgan & Claypool Publishers, San Rafael (2007)
Weiss, G. (ed.): Multiagent Systems. MIT Press, Cambridge (1999)
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Stirling, W. (2013). A Conditional Game-Theoretic Approach to Cooperative Multiagent Systems Design. In: Filipe, J., Fred, A. (eds) Agents and Artificial Intelligence. ICAART 2011. Communications in Computer and Information Science, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29966-7_22
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DOI: https://doi.org/10.1007/978-3-642-29966-7_22
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