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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... achieving such focusing in chapter 2. Even though we use graphs of this sort only with graph-search control regimes ... achieved, it is possible that a complete reformulation of the problem (changing the very notion of what a state is ...
... achieve this effect with production systems also. To do so, we must incorporate both state descriptions and goal descriptions into the global database. F-rules are applied to the state description part, while B-rules are applied to the ...
... achieve this sort of flexibility, a control system must keep an explicit record of a graph of databases linked by rule applications. We say that control systems that operate in this manner use graph-search strategies. In our discussions ...
... achieved, by explicitly storing just the initial database and records of incremental changes from which any of the other databases can rapidly be computed. 2.2.1. GRAPH NOTATION We can think of a graph-search control strategy as a means ...
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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