Essentials of Artificial IntelligenceSince its publication, Essentials of Artificial Intelligence has beenadopted at numerous universities and colleges offering introductory AIcourses at the graduate and undergraduate levels. Based on the author'scourse at Stanford University, the book is an integrated, cohesiveintroduction to the field. The author has a fresh, entertaining writingstyle that combines clear presentations with humor and AI anecdotes. At thesame time, as an active AI researcher, he presents the materialauthoritatively and with insight that reflects a contemporary, first handunderstanding of the field. Pedagogically designed, this book offers arange of exercises and examples. |
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a₁ action algorithm applied approach Artificial Intelligence assigned assumptions axiom backtracking big(h binding list birds branching factor breadth-first search certainty factor chapter chess conclusion conjunction consider crossword-puzzle database decide default depth-first search derive described discussed domain edge examine example expected expert system fact first-order logic Fred function game tree Ginsberg given goal node heuristic holds idea inference influence diagram initial node instance involves John knowledge representation label learning Lenat Mary metalevel modus ponens move MYCIN natural language node at depth object ostriches parse path planning possible probability procedure proof prove quantified query resolution result Return to step Rubik's cube rule search problem search space semantic semantic net sentence shown in Figure simply solution solve specific Suppose techniques theorem theory things tree Turing test Tweety typically variable verb words work(h