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Who This Book Is For
Data scientists, and machine learning/deep learning engineers who seek to integrate game theory into their work to enhance decision-making processes. It also targets AI practitioners and developers looking to optimize decision-making algorithms through game theory principles.
Dr. Ashton T. Sperry-Taylor holds a B.A. in Mathematics and Philosophy (with honors) from Franklin & Marshall College and a Ph.D. in Philosophy from the University of Missouri-Columbia. His expertise encompasses artificial intelligence, decision and game theory, and the philosophy of science. In his commercial endeavors, he develops algorithms to analyze and forecast in-home behavioral patterns, detect anomalies, identify falls, and employ computer vision to assess mobility. His algorithms offer long-term, in-home support for caregivers of the elderly and individuals with cognitive disabilities. His research centers on using reinforcement learning to model dynamic belief revision in game theory, examining the explanatory power of equilibrium models in the social sciences, and exploring how agent-based computational models tackle the complexity of social behavior. His work appears in peer-reviewed journals and is presented at conferences throughout North America and internationally.
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