Decision Theory: Fundamentals and Applications

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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.


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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.

저자 정보

Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. 

Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.

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나레이터: Mason