Artificial Intelligence: A New Synthesis
Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches.
An evolutionary approach provides a unifying theme
Thorough coverage of important AI ideas, old and new
Frequent use of examples and illustrative diagrams
Extensive coverage of machine learning methods throughout the text
Citations to over 500 references
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achieve action agent algorithm applied arcs Artiﬁcial Artificial Intelligence atom axioms backed-up value Bayes network block branching factor calculate called cell chapter clause Clear(B condition conditional independencies conjunction constraints d-separation data structure deﬁned deﬁnition denoted depth depth-ﬁrst described discussion effects environment evaluation example expert systems expression False ﬁnd ﬁnding ﬁrst ﬂoor formulas given goal node graph heuristic Horn clauses inference input vectors joint probability knowledge base labeled language learning literals logic machines methods move objects On(A On(B operators optimal path output polytree positive instances preconditions predicate calculus predicate-calculus probabilistic inference problem procedure produce PROLOG propositional calculus quantiﬁer reasoning represent representation resolution refutation robot satisﬁed scene search tree semantic sensory shown in Figure sigmoid sigmoid function situation calculus speciﬁc STRIPS rules successors Suppose symbols T-R programs techniques terminal symbols training set truth table value True variables weight