Artificial Intelligence: A New SynthesisIntelligent 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. |
Contents
Reactive Machines | 19 |
Neural Networks | 37 |
Machine Evolution | 59 |
Copyright | |
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AAAI Press achieve actions agent algorithm applied architecture arcs Artificial Intelligence atom axioms Bayes network block breadth-first search calculate called cell chapter clause Clear F1 complex Conference on Artificial conjunction d-separation data structure denoted depth-first depth-first search described effects evaluation example expert systems floor formulas function given goal node grammar graph heuristic Horn clauses inference inputs instance joint probability Kautz Korf labeled Levesque literals logic Machine Learning Menlo Park methods Morgan Kaufmann move National Conference natural language Neural Networks Newell Nilsson node Noun operators optimal path polytree preconditions predicate calculus predicate-calculus problem procedure Proceedings PROLOG propositional calculus reasoning represent representation resolution refutation robot San Francisco Selman semantic sensory sentence shown in Figure situation calculus speech act STRIPS rules successors Sussman anomaly symbols T-R programs techniques terminal symbols training set value True variables vector