Game theoretical optimization inspired by information theory |
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Authors: | Flemming Tops?e |
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Affiliation: | (1) Institute of Mathematical Sciences, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen, Denmark |
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Abstract: | Inspired by previous work on information theoretical optimization problems, the basics of an axiomatic theory of certain special two-person zero-sum games is developed. One of the players, “Observer”, is imagined to have a “mind”, the other, “Nature”, not. These ideas lead to un-symmetric modeling as the two players are treated quite differently. Basic concavity- and convexity results as well as a general minimax theorem are derived from the axioms. |
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Keywords: | Entropy Redundancy Divergence Complexity Two-person zero-sum games MaxEnt |
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