Backward Chaining: Fundamentals and Applications

· Artificial Intelligence Ibhuku elingu-124 · One Billion Knowledgeable
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Amakhasi
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Izilinganiso nezibuyekezo aziqinisekisiwe  Funda Kabanzi

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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.

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