Forward Chaining: Fundamentals and Applications

· Artificial Intelligence Ibhuku elingu-123 · One Billion Knowledgeable
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Izilinganiso nezibuyekezo aziqinisekisiwe  Funda Kabanzi

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What Is Forward Chaining

When employing an inference engine, one of the two primary methods of reasoning is called forward chaining. Forward chaining can be logically stated as the repeated application of the modus ponens argument. The implementation method known as forward chaining is quite common for use in expert systems, as well as in business and production rule systems. Backward chaining is the antonym of forward chaining in this context.


How You Will Benefit


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


Chapter 1: Forward Chaining


Chapter 2: Production System in Computer Science


Chapter 3: Expert System


Chapter 4: Inference Engine


Chapter 5: Rete Algorithm


Chapter 6: Backward Chaining


Chapter 7: Rule-Based Systems


Chapter 8: Pattern Matching


Chapter 9: Artificial Intelligence


Chapter 10: Opportunistic Reasoning


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


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


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

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