Title
Knowledge Representation: Logical, Philosophical, And Computational Foundations
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John Sowa Integrates Logic, Philosophy, Linguistics, And Computer Science Into This Study Of Knowledge And Its Various Models And Implementations. His Definitive New Book Shows How Techniques Of Artificial Intelligence, Database Design, And Objectoriented Programming Help Make Knowledge Explicit In A Form That Computer Systems Can Use. The First Three Chapters Are Devoted To Logic, Ontology, And Computable Models Of Reality. Remaining Chapters Apply Theories To The Analysis Of Problems Stated In Ordinary Language, And Their Translation To Computable Form. The Text Is Selfcontained, With Each New Idea Defined When First Mentioned; All Formalism Is Developed In The Body Of The Text Or Summarized In An Appendix. Knowledge Representation Is Appropriate For Advanced Undergraduate And Graduate Students In Computer Science, As Well As Philosophy And Linguistics Students With Some Background In Artificial Intelligence Or Programming.
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- Q: How many pages are in this book? A: This book has six hundred eight pages. It provides an in-depth exploration of knowledge representation across various disciplines.
- Q: What is the binding type of this book? A: The binding type is paperback. This makes it lightweight and easy to handle for reading or studying.
- Q: What are the dimensions of this book? A: The dimensions are six point seventy-three inches in length, one point twenty-six inches in width, and nine point seventy-six inches in height. This size is standard for a paperback academic book.
- Q: Who is the author of this book? A: The author is John Sowa. He combines logic, philosophy, linguistics, and computer science in his analysis.
- Q: What is the main focus of this book? A: The main focus is on the logical, philosophical, and computational foundations of knowledge representation. It aims to make knowledge explicit for computer systems.
- Q: Is this book suitable for beginners? A: No, this book is appropriate for advanced undergraduate and graduate students. It requires some background in artificial intelligence or programming.
- Q: How can I apply the concepts from this book? A: You can apply the concepts by analyzing problems stated in ordinary language and translating them into computable forms. The text provides practical examples.
- Q: Is this book self-contained? A: Yes, the text is self-contained. Each new idea is defined upon first mention, making it accessible to readers with varying backgrounds.
- Q: What kind of problems does this book cover? A: The book covers problems related to knowledge representation and its models. It applies theories to real-world scenarios.
- Q: Can I find summaries of formalism in this book? A: Yes, all formalism is developed within the text or summarized in an appendix. This aids in understanding complex concepts.
- Q: What is the condition of the used book? A: The book is listed as used but in good condition. This means it has been previously owned but remains functional and readable.
- Q: Does this book include exercises or examples? A: Yes, the book includes examples that help illustrate the theories discussed. This practical approach enhances learning.
- Q: Is this book part of a series? A: No, this book is a standalone text. It does not belong to any specific series but covers a broad topic comprehensively.
- Q: Is there an ebook version available? A: Availability may vary, but this particular listing is for a paperback version. Check with the retailer for digital formats.
- Q: What is the publication company for this book? A: The book is published by Cengage Learning. It is known for its academic and educational resources.
- Q: Are there any notable reviews or accolades for this book? A: While specific reviews are not mentioned, John Sowa is recognized for his contributions to knowledge representation and AI. Readers often find his insights valuable.