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The Maharaja Sayajirao University of Baroda
Polytechnic,
Department of Electrical Engineering,
ACADEMIC YEAR
2015-2016
Near Shastri Bridge, Fatehgunj, Vadodara-390001, <<e-mail ID>>
Computer Engineering : (Higher Payment Program)
YEAR
Semester
III
II
CORE/Elective/Foundation 1:
CSC3611 : Artificial Intelligence and Neural Network
CREDIT
-
HOURS
-
OBJECTIVES:
COURSE CONTENT / SYLLABUS
UNIT-I
UNIT-II
UNIT-III
UNIT-IV
UNIT-V
UNIT-VI
Scope of AI
Games, Theorem Providing, Natural Language Processing, Vision and Speech Processing,
Expert systems, At techniques-search, knowledge, abstraction
PROLONG : At Programming Language
Facts, Questions, Variables, Conjuctions, Rules, Prolog syntax and data structures Lists and
trees, Use of CUT and tall, Input and Output, Built-in-prodicates
Problem Solving
State space search : production systems, Search space control : depth first, breadth first search,
Heuristic search-Hill climbing, Best first search, Branch and bound, A* and AO* algorithms,
Constraint satisfaction, Minmax search-Alpha-Beta pruning
Knowledge representation
Predicate Logic (First order logic and WEFs, Unification, Resolution, Limitations), Rule based
systems (Forward reasoning: Handling conflict resolution, Backward reasoning) Structured
knowledge representation (Semantic networks, frames and scripts, Object oriented
representations)
Learning
Concept of learning, Learning by Induction, Analogy, Explanation-Based Learning, Discovery,
Neural Networks (Hopfied networks, Learning in neural networks, Back propagation algorithm,
Bolzmann machines).
Expert Systems
Need and justification for expert systems, Expert systems architectures (Rule-based systems
Non production systems, Use certainty factors)
REFERENCES
1.
2.
3.
4.
5.
Unerstanding Artificial Intelligence By Hency Mishkoff
Art of PROLOG By Elavd Shapiro
Artificial Intelligence through Prolog By Ivan Bolko
Artificial Intelligence by Elaine Rich
Programming in Plotog By W. F. Clocksin & C. S. Moltish
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