Mixed Strategies for Dynamic Games
CALIFORNIA UNIV LOS ANGELES SCHOOL OF ENGINEERING AND APPLIED SCIENCE
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Development of a comprehensive theory of mathematical games has been hampered by philosophical, conceptual, and practical difficulties. For dynamic games in particular, solution methods are elusive, and algorithms are rare. This is especially apparent for games which require that the competitors randomize, or mix, their tactics even though such randomization is a common property of actual competitive situations. The report is therefore concerned with the development of a technique for the synthesis of mixed strategy solutions of games.
- Operations Research