ELECTIVE I-2 ARTIFICIAL INTELLIGENCE AND APPLICATIONS

ELECTIVE I-2 ARTIFICIAL INTELLIGENCE AND APPLICATIONS

Introduction to artificial intelligence: Introduction to AI languages- LISP and PROLOG.

Basic problem solving techniques: Search and heuristics, search algorithms, space search, AND/OR graph, game tree search.

Logic and theorem solving techniques forward chaining, backward chaining, resolution, and deduction.

Structured knowledge representation: Schemata, context-layered databases, truth maintenance, and procedural attachment.

Inference methods, predicate logic, semantic networks, frame, scripts. Programming in PROLOG.

Machine learning, planning, natural language processing, computer vision, and neural networks.

Introduction to expert systems.

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  1. deepak bhagat
    January 6th, 2010 at 00:14 | #1

    I need the syllubus of MCA &Msc ComputerScience

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