CSVTU B.E. VIII Semester Computer Science Engineering Artificial Intelligence & Expert System Syllabus
CHHATTISGARH SWAMI VIVEKANAND TECHNICAL UNIVERSITY, BHILAI (C.G.)
Semester: VIII Branch: Computer Science & Engg.
Subject: Artificial Intelligence & Expert System
UNIT I Overview & Search Techniques:-
Introduction to AI, Problem Solving, State space search, Blind search: Depth first search, Breadth first
search , Informed search : Heuristic function, Hill climbing search, Best first search, A* & AO* Search,
Constraint satisfaction. Game tree, Evaluation function, Mini-Max search, Alpha-beta pruning, Games
UNIT II Knowledge Representation (KR):-
Introduction to KR, Knowledge agent, Predicate logic, WFF, Inference rule & theorem proving :
forward chaining, backward chaining, resolution; Propositional knowledge, Boolean circuit agents.
Rule Based Systems, Forward reasoning: Conflict resolution, backward reasoning: Use of
backtracking, Structured KR: Semantic Net – slots, inheritance, Frames- exceptions and defaultsattached
predicates, Conceptual Dependency formalism, Other knowledge representations.
UNIT III Handling uncertainty & Learning: –
Source of uncertainty, Probabilistic inference, Bayes’ theorem, Limitation of naïve Bayesian system,
Bayesian Belief Network (BBN), Inference with BBN, Dempster-Shafer Theory, Fuzzy Logic, Fuzzy
function, Fuzzy measure, Non monotonic reasoning: Dependency directed backtracking, Truth
maintenance systems. Learning : Concept of learning, Learning model, learning decision tree,
Paradigms of machine learning, Supervised & Unsupervised learning, Example of learning, Learning
by induction, Learning using Neural Networks.
UNIT IV Natural Language Processing(NLP) & Planning :-
Overview of NLP tasks, Parsing, Machine translation, Components of Planning System, Planning
agent, State-Goal & Action Representation, Forward planning, Backward chaining, Planning example
: partial-order planner, Block world.
UNIT V Expert System & AI languages:-
Need & Justification for expert systems- cognitive problems, Expert System Architectures, Rule
based systems, Non production system, knowledge acquisition, Case studies of expert system. AI
language: Prolog syntax, Programming with prolog, Backtracking in prolog, Lisp syntax, Lisp
Text Books :-
1. Elaine Rich and Kevin Knight: Artificial Intelligence- Tata MeGraw Hill.
2. Dan W.Patterson Introduction to Artificial Intelligence and Expert Systems- Prentice Hall of India.
Reference Books :-
1. Nils J.Nilsson: Principles of Artificial Intelligence- Narosa Publishing house.
2. Clocksin & C.S. Melish; Programming in PROLOG- Narosa Publishing house.
3. M. Sasikumar, S.Ramani, et. al.: Rule based Expert Systems (A practical Introduction ) Narosa