Decision Theory: Fundamentals and Applications
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The theory of making judgments based on assigning probabilities to various aspects and assigning numerical implications to the conclusion is the subject of decision theory, which is a part of applied probability theory and analytic philosophy. Decision theory is concerned with the theory of making decisions.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Decision theory
Chapter 2: Bayesian probability
Chapter 3: Utility
Chapter 4: Rationality
Chapter 5: Bounded rationality
Chapter 6: Prospect theory
Chapter 7: Expected utility hypothesis
Chapter 8: Subjective expected utility
Chapter 9: Decision analysis
Chapter 10: Von Neumann-Morgenstern utility theorem
(II) Answering the public top questions about decision theory.
(III) Real world examples for the usage of decision theory in many fields.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of decision theory.
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