Principles of Artificial Intelligence
A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.
Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.
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... Production Systems for Resolution Refutations 163 5.2. Control Strategies for Resolution Methods 164 5.3 ... System 196 2. A Backward Deduction System 212 3. “Resolving” Within AND/OR Graphs 234 4. Computation Deductions and Program ...
... production system and emphasize its importance as a basic building block of AI systems. Several distinctions among production systems and their control strategies are introduced. These distinctions are used throughout the book to help ...
... system can consist of several database/operations/control modules interacting in a complex fashion. Our point is that a system consisting of separate database, operations, and control ... PRODUCTION SYSTEMS AND AI 1.1. Production Systems.
... system chooses which applicable rule should be applied and ceases computation when a termination condition on the global database is satisfied. There are several differences between this production system structure and conventional ...
... production system, we must specify the global database, the rules, and the control strategy. Transforming a problem statement into these three components of a production system is often called the representation problem in AI. Usually ...
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS
CHAPTER 4 THE PREDICATE CALCULUS IN AI
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS
CHAPTER 7 BASIC PLANGENERATING SYSTEMS
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS