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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... Backward Deduction System 212 3. “Resolving” Within AND/OR Graphs 234 4. Computation Deductions and Program Synthesis 241 6.5. A Combination Forward and Backward System 253 6.6. Control Knowledge For Rule-Based Deduction Systems 257 6.7 ...
... BACKWARD AND BIDIRECTIONAL PRODUCTION SYSTEMS We might say that our production system for solving the 8-puzzle worked forward from the initial state to a goal state. Thus, we could call it a forward production system. We could also have ...
... backward direction, by starting at the goal state, applying inverse moves, and working toward the initial state ... backward-directed production system in the case of the 8-puzzle is simple because the goal is described by an explicit ...
... backward direction, it is often convenient to make this distinction explicit. When a problem has intuitively clear states and goals and when we choose to employ descriptions of these states as the global database of a production system ...
... backward direction. They might be controlled by irrevocable or tentative control regimes. The taxonomy of production systems based on these distinctions will help greatly in organizing various AI systems and concepts into a coherent ...
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