Logic for Computer Science and Artificial Intelligence
eBook - ePub

Logic for Computer Science and Artificial Intelligence

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Logic for Computer Science and Artificial Intelligence

About this book

Logic and its components (propositional, first-order, non-classical) play a key role in Computer Science and Artificial Intelligence. While a large amount of information exists scattered throughout various media (books, journal articles, webpages, etc.), the diffuse nature of these sources is problematic and logic as a topic benefits from a unified approach. Logic for Computer Science and Artificial Intelligence utilizes this format, surveying the tableaux, resolution, Davis and Putnam methods, logic programming, as well as for example unification and subsumption. For non-classical logics, the translation method is detailed.
Logic for Computer Science and Artificial Intelligence is the classroom-tested result of several years of teaching at Grenoble INP (Ensimag). It is conceived to allow self-instruction for a beginner with basic knowledge in Mathematics and Computer Science, but is also highly suitable for use in traditional courses. The reader is guided by clearly motivated concepts, introductions, historical remarks, side notes concerning connections with other disciplines, and numerous exercises, complete with detailed solutions, The title provides the reader with the tools needed to arrive naturally at practical implementations of the concepts and techniques discussed, allowing for the design of algorithms to solve problems.

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Yes, you can access Logic for Computer Science and Artificial Intelligence by Ricardo Caferra in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Preface
  5. Chapter 1: Introduction
  6. Chapter 2: A Few Thoughts Before the Formalization
  7. Chapter 3: Propositional Logic
  8. Chapter 4: First-order Terms
  9. Chapter 5: First-Order Logic (FOL) or Predicate Logic (PL1, PC1)
  10. Chapter 6: Foundations of Logic Programming
  11. Chapter 7: Artificial Intelligence
  12. Chapter 8: Inference
  13. Chapter 9: Problem Specification in Logical Languages
  14. Chapter 10: Non-Classical Logics
  15. Chapter 11: Knowledge and Logic: Some Notions
  16. Chapter 12: Solutions to the Exercises
  17. Bibliography
  18. Index