Luger, George F <br/><br/>
Artificial Intelligence: Structures and strategies for complex problem soving 

 - New Delhi:  Pearson education,  2005. 
 - xxiii,903P. 
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9780321545893 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Inteligencia artificial.<br/>Structures and Strategies.
<br/><br/><label>Dewey Class. No.: </label>006.3  / LG/A