Artificial Intelligence: A Modern Approach
Prentice Hall, 2010 - 1132
Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence.
According to an article in The New York Times , the course on artificial intelligence is "one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world." One of the other two courses, an introduction to database software, is being taught by Pearson author Dr. Jennifer Widom.
Artificial Intelligence: A Modern Approach, 3e is available to purchase as an eText for your Kindle(TM), NOOK(TM), and the iPhone(R)/iPad(R).
To learn more about the course on artificial intelligence, visit http: //www.ai-class.com. To read the full New York Times article, click here.
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Artificial Intelligence: A Modern Approach, Global Edition
Stuart Russell,Peter Norvig
Podgląd niedostępny - 2016
Kluczowe wyrazy i wyrażenia
action agent algorithm allow answer applied approach assignment assume attributes base Bayesian belief called Chapter choose clauses complexity conditional consider consistent constraint construct contains cost decision deﬁned deﬁnition depends described developed distribution domain effect environment Equation error estimate example Exercise expected expression fact false Figure ﬁnd ﬁrst ﬁrst-order function given gives goal graph heuristic hypothesis idea independent inference initial input knowledge language learning linear literals logic means methods move node objects observable optimal path percept performance planning player positive possible predicate probability problem propositional query random reasoning relation represent representation rule samples sentence sequence shown shows simple single solution solve space square step strategy structure Suppose symbols theory tree true utility variables weight