Artificial intelligence : structures and strategies for complex problem solving

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