Decision Theory: Fundamentals and Applications

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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