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 Intelligence evolved 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.
84 pages matching editions:ISBN0935382011 in this book
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8-puzzle achieve actions algorithm AND/OR graph applied Artificial Intelligence assertions atomic formula backed-up value backtracking block breadth-first breadth-first search called chapter clause form CLEAR(C component conjunction contains control regime control strategy cost DCOMP delete delineation depth-first search described discussed disjunction domain element-of evaluation function example existentially quantified F-rule fact unit formula frame problem global database goal expression goal node goal stack goal wff graph-search HANDEMPTY heuristic implication initial state description knowledge leaf nodes literal nodes methods monotone restriction negation node labeled ONTABLE(A optimal path precondition predicate calculus procedure production rules production system prove recursive regress represent representation resolution refutation result robot problem rule applications rule-based deduction systems search graph search tree semantic network sequence shown in Figure Skolem function solution graph solve STRIPS structure subgoal substitutions successors Suppose symbols termination condition theorem theorem-proving tip nodes unifying composition universally quantified unstack WORKS-IN