Artificial Intelligence (Dept. Elec. - I) (180703)  


Syllabus

Sr. Topics Teaching Hours Module Weightage
1
Problems And State Space Search
The AI Problems, The Underlying Assumption, What Is An AI Techniques, The Level Of The Model, Criteria For Success, Some General References, One Final Word.
2
Problems And State Space Search
Defining The Problems As A State Space Search, Production Systems, Production Characteristics, Production System Characteristics, And Issues In The Design Of Search Programs, Additional Problems.
3
Heuristic Search Techniques
Generate-And-Test, Hill Climbing, Best-First Search, Problem Reduction, Constraint Satisfaction, Means-Ends Analysis.
4
Knowledge Representation Issues
Representations And Mappings, Approaches To Knowledge Representation.
5
Using Predicate Logic :
Representation Simple Facts In Logic, Representing Instance And Isa Relationships, Computable Functions And Predicates, Resolution.
6
Representing Knowledge Using Rules
Procedural Versus Declarative Knowledge, Logic Programming, Forward Versus Backward Reasoning.
7
Symbolic Reasoning Under Uncertainty
Introduction To Non-monotonic Reasoning, Logics For Non-monotonic Reasoning.
8
Statistical Reasoning :
Probability And Bays’ Theorem, Certainty Factors And Rule-Base Systems, Bayesian Networks, Dempster-Shafer Theory, Fuzzy Logic.
9
Weak Slot-And-Filler Structure :
Semantic Nets, Frames.
10
Game Playing: Overview, And Example Domain
The Blocks World, Components Of A Planning System, Goal Stack Planning, Nonlinear Planning Using Constraint Posting, Hierarchical Planning, Reactive Systems, Other Planning Techniques.
11
Natural Language Processing
Introduction, Syntactic Processing, Semantic Analysis, Semantic Analysis, Discourse And Pragmatic Processing.
12
Connectionist Models
Introduction: Hopfield Networld, Learning In Neural Networld, Application Of Neural Networks, Recurrent Networks, Distributed Representations, Connectionist AI And Symbolic AI.
13
Expert Systems
An Introduction To Expert System, Explanation Facilities, Expert System Developments Process, knowledge Acquisition.
14
Introduction to Prolog
Introduction To Prolog: Syntax and Numeric Function, Basic List Manipulation Functions In Prolog, Functions, Predicates and Conditional, Input, Output and Local Variables, Iteration and Recursion, Property Lists and Arrays, Miscellaneous Topics, LISP and Other AI Programming Languages.