Artificial Intelligence (SIE),Rich

This book presents both theoretical foundations of AI and an indication of the ways that current techniques can be used in application programs. With the revision, most of the content has been preserved as it is, and an effort has been put in on adding new topics that are in sync with the recent developments in this field.
Key Features:

Four new chapters added that discusses recent advancements in Genetic Algorithms, Artificial Immune Systems, and Agents
PROLOG being one of the popular languages for AI programming has been added in the form of a new chapter.
Knowledge Representation, syllabus relevant topic, covered in a separate section (spanned over 8 chapters)
All important Heuristic Techniques, including Hill Climbing, BFS, and Generate and Test have been covered explicitly
An exhaustive OLC in the face of none provided by competing titles

Pedagogy
Review Questions: 161

Illustrations: 279




Recent advancements in AI elucidated in the form of four new chapters
Heuristic techniques given added emphasis
Case Studies on Network Security, Robot Control and Navigation
Popular Languages such as LISP and PROLOG are covered

Table of Content:





PART I: PROBLEMS AND SEARCH


Chapter 1. What is Artificial Intelligence?

Chapter 2. Problems, Problem Spaces, and Search

Chapter 3. Heuristic Search Techniques



PART II: KNOWLEDGE REPRESENTATION



Chapter 4. Knowledge Representation Issues

Chapter 5. Using Predicate Logic

Chapter 6. Representing Knowledge Using Rules

Chapter 7. Symbolic Reasoning Under Uncertainty

Chapter 8. Statistical Reasoning

Chapter 9. Weak Slot-and-Filler Structures

Chapter 10. Strong Slot-and-Filler Structures

Chapter 11. Knowledge Representation Summary



PART III ADVANCED TOPICS



Chapter 12. Game Playing

Chapter 13. Planning

Chapter 14. Understanding

Chapter 15. Natural Language Processing

Chapter 16. Parallel and Distributed AI

Chapter 17. Learning

Chapter 18. Connectionist Models

Chapter 19. Common Sense

Chapter 20. Expert Systems 416

Chapter 21. Perception and Action

Chapter 22. Fuzzy Logic Systems

Chapter 23. Genetic Algorithms:Copying Nature's Approaches

Chapter 24. Artificial Immune Systems

Chapter 25. Prolog-The Natural Language of Artificial Intelligence

Chapter 26. Conclusion