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PART I: ARTIFICIAL INTELLIGENCE: ITS ROOTS AND SCOPE
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1 AI: HISTORY AND APPLICATIONS
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PART II: ARTIFICIAL INTELLIGENCE AS REPRESENTATION AND SEARCH
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2 THE PREDICATE CALCULUS
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3 STRUCTURES AND STRATEGIES FOR STATE SPACE SEARCH
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4 HEURISTIC SEARCH
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5 STOCHASTIC METHODS
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6 CONTROL AND IMPLEMENTATION OF STATE SPACE SEARCH
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PART III: CAPTURING INTELLIGENCE: THE AI CHALLENGE
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7 KNOWLEDGE REPRESENTATION
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8 STRONG METHOD PROBLEM SOLVING
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9 REASONING IN UNCERTAIN SITUATIONS
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PART IV: MACHINE LEARNING
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10 MACHINE LEARNING: SYMBOL-BASED
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11 MACHINE LEARNING: CONNECTIONIST
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12 MACHINE LEARNING: GENETIC AND EMERGENT
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13 MACHINE LEARNING: PROBABILISTIC
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PART V: ADVANCED TOPICS FOR AI PROBLEM SOLVING
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14 AUTOMATED REASONING
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15 UNDERSTANDING NATURAL LANGUAGE
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PART VI
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16 ARTIFICIAL INTELLIGENCE AS EMPIRICAL ENQUIRY
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Bibliography
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Author Index
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Subject Index