A Comprehensive Solution Manual for Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 6/E By George F. Luger,
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 EPILOGUE
16 ARTIFICIAL INTELLIGENCE AS EMPIRICAL ENQUIRY
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