Principles of Artificial IntelligenceA 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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... logically follows from a set of wffs S if every interpretation satisfying S also satisfies X. Thus , it is easy to see that the wff ( Vx ) ( Vy ) [ P ( x ) ▽ Q ( y ) ] logically follows from the set { ( Vx ) \\ y ) [ P ( x ) ▽ Q ( y ) ...
... logically follows from S , the set SU { ~ W } is unsatisfiable . It can be shown that if resolution is applied repeatedly to a set of unsatisfiable clauses , eventually the empty clause , NIL , will be produced . Thus , if W logically ...
... logically follows from S and then find an instance of the x " that exists . " The key idea is to convert the question into a goal wff containing an existential quantifier such that the existentially quantified variable represents an ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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