Backward Chaining: Fundamentals and Applications

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What Is Backward Chaining


The process of making an inference known as "working backward from the goal" is another name for the technique known as "backward chaining." It is implemented in automated theorem provers, inference engines, proof assistants, and other applications that fall under the umbrella of artificial intelligence.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Backward Chaining


Chapter 2: Automated Theorem Proving


Chapter 3: Inference Engine


Chapter 4: Game Theory


Chapter 5: Backward Induction


Chapter 6: Retrograde Analysis


Chapter 7: Logic Programming


Chapter 8: SLD Resolution


Chapter 9: Forward Chaining


Chapter 10: Prolog


(II) Answering the public top questions about backward chaining.


(III) Real world examples for the usage of backward chaining in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of backward chaining' technologies.


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 backward chaining.

ስለደራሲው

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. 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 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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ተጨማሪ በFouad Sabry

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