Decision Theory

What Is Decision Theory

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.

What is Artificial Intelligence Series

The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field.
The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.