Case Based Reasoning

In the fields of artificial intelligence and philosophy, case-based reasoning (CBR) refers to the method of finding answers to new problems by analyzing the resolutions of problems that are analogous to those that have been encountered in the past.

How You Will Benefit

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

Chapter 1: Case-based reasoning

Chapter 2: Search algorithm

Chapter 3: Machine learning

Chapter 4: Natural-language understanding

Chapter 5: Symbolic artificial intelligence

Chapter 6: Learning classifier system

Chapter 7: Reasoning system

Chapter 8: Inductive reasoning

Chapter 9: History of natural language processing

Chapter 10: Outline of machine learning

(II) Answering the public top questions about case based reasoning.

(III) Real world examples for the usage of case based reasoning in many fields.

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