The Trust-Based Interactive Partially Observable Markov Decision Process
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The Trust-Based Interactive Partially Observable Markov Decision Process

by Richard S Seymour

Mathematics artificial intelligence Reinforcement Learning
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The Trust-Based Interactive Partially Observable Markov Decision Process presents a focused study of trust, interaction, and decision-making under uncertainty. It will appeal to readers in computer science, mathematics, artificial intelligence, and decision theory who are interested in formal models for complex informational environments.

About This Book

The Trust-Based Interactive Partially Observable Markov Decision Process examines decision-making in settings where information is incomplete and interactions matter.

The work connects trust with partially observable Markov decision processes, a framework for reasoning about actions and outcomes under uncertainty.

Its subject will interest readers studying mathematical modeling, computer science, artificial intelligence, and decision theory.

With its specialized title and focused topic, the book is suited to academic and research-oriented audiences seeking an introduction or reference on this area.

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I will be using this book for: