Expert Systems in Prolog is a comprehensive guide that explores the application of Prolog programming language in the development of expert systems. The book provides a detailed and practical approach to building knowledge-based systems using Prolog.
Expert systems are computer programs that simulate the decision-making abilities of a human expert in a particular domain. They use a knowledge base and a set of inference rules to make decisions and provide recommendations. Prolog is a logical programming language that is particularly well-suited for building expert systems.
The book begins with an introduction to expert systems and Prolog programming language. The author then delves into the different components of an expert system, including knowledge representation, inference, and explanation. The reader is provided with a detailed description of how each component works and how it can be implemented using Prolog.
The book also covers different types of reasoning, such as deductive, abductive, and inductive reasoning, and how they can be applied in expert systems. It explores different knowledge representation techniques, including frames, semantic nets, and production rules.
The author also discusses how to evaluate the performance of an expert system and how to improve its accuracy. The book provides examples and case studies of real-world expert systems to illustrate the concepts and techniques discussed in the book.
This book is a valuable resource for students, researchers, and practitioners interested in building expert systems using Prolog. The book provides a clear and concise introduction to the field of expert systems and provides practical guidance on how to build effective and efficient knowledge-based systems.
Overall, This book is an excellent reference for anyone looking to develop expertise in Prolog programming language and build knowledge-based systems. It provides a comprehensive overview of the key concepts and techniques in the field, making it an essential read for anyone interested in this area.