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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.
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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