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Introduction to Artificial Intelligence. Problem Solving, Search and Control Strategies. Problem Reduction and Game playing. Logic Concepts and Prolog programming. Advanced Problem Solving — Planning. Knowledge Representation Techniques. Expert Systems and Applications. Handling Uncertainty.
Machine Learning. Evolutionary Computation. Intelligent Agents. Natural Language Processing. General Issues and overview of AI. Intelligent Systems. Foundations of AI. Characteristics of AI systems. Sub-areas of AI. General Problem Solving. Production System. State Space Search. Control Strategies. Exhaustive Searches. Breadth First Search. Depth-First Search. Depth First Iterative Deepening. Bi-Directional Search. Analysis of Search methods. Heuristic Search Techniques. General Purpose Heuristics.
Hill Climbing. Beam Search. Best First Search. Constrained satisfaction. Problem Reduction. Game Playing. Game Problem verses State Space Problem. Status Labeling Procedure. Bounded Look-ahead and use of Evaluation Functions. Using Evaluation Function. Alpha-Beta Pruning. Refinements to a - b pruning. Iterative Deepening. Two Player Perfect Information Games. Propositional Calculus.
Truth table. Equivalence Laws. Propositional Logic. Resolution Refutation in PL. Conversion of a formula into set of clauses. Resolvent of Clauses. Predicate Logic. Predicate Calculus. Transformation of Formula into Prenex Normal Form. Conversion of Formula into PNF notation. Prenex Normal Form and Skolemization. Resolution Refutation in Predicate Logic. General Syntax and Prolog Control Strategy. Execution of a Prolog Query. Programming Techniques in Prolog.
Recursive Programming. Iterative Programming. Lists Manipulation. Redundancy and Termination Issues. Effect of Rule and Goal orders. Cut, Fail predicates. Types of Planning Systems. Operator Based Planning. Planning Algorithms. Case Based Planning.
State Space Linear Planning. Block World Problem Description. Logic Based Planning. Linear Planning Using a Goal Stack. Nonlinear Planning Strategies. Goal Set Method. Partial Ordering Planning. Approaches to Knowledge Representation. KR using Semantic Network. Inheritance in Semantic Net. Knowledge Representation using Frames. Inheritance in Frames. Implementation of Frame Knowledge. Representation of Frames in Prolog. Conceptual Dependency. Conceptual Primitive Actions. Conceptual category.
Rules for Conceptualization blocks in CD. Generation of CD representation. Conceptual Parsing. Inferences Associated with Primitive Act. Phases in building ES. Knowledge Engineering. Knowledge Representation. Characteristics of ES.
Expert System Architecture. Knowledge base. Inference Engine. Knowledge acquisition. User interfaces.
Logic And Prolog Programming
An author of three books - Logic and Prolog Programming with New Age International , Artificial Intelligence with Cengage Learning , and Soft Computing with McGraw Hill , she also has to her credit more than referenced papers in journals and international conferences. Kaushik is a fellow member of Institution of Electronics and Telecommunication Engineers and a life member of Computer Society of India. Jump to. Sections of this page.
Logic and prolog programming
Logic and Prolog Programming 1st Edition - 9788122414097
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