Mahatma Gandhi University (MGU) 2007 B.Tech Electronic Instrumentation & Control Engineering artficial intelligence & expert systems - Question Paper

ARTIFICIAL INTELLIGENCE & EXPERT SYSTEMS (ELECTIVE – I)
ELECTRONICS AND INSRUMENTATION
SEVENTH SEMESTER

MODULE 1
INTRODUCTION
Definitions- AI applications- data, info and knowledge issues and issue space, issue characteristics, forward and backward reasoning means- ends – analysis puzzle problems, tower of Hanoi problem, game playing

MODULE 2
SEARCH
Search strategies, AND OR graphs, heuristic search methods A and AO* algorithms, MIN- MAX strategies. Alpha- beta cut offs

MODULE 3
KNOWLEDGE REPRESENTATION
Propositional logic predicate logic, conversion of WFF to clause form, resolution, unification, resolution- refutation system, ques. answering- non monotonic reasoning, fuzzy logics

MODULE 4
KNOWLEDGE STRUCTURE
Semantic nets, frames, scripts, conceptual dependency- learning knowledge acquisition, various methods of learning

MODULE 5
KNOWLEDGE ENGINEERING AND EXPERT SYSTEMS
Structure of an expert system, distinctive features- case studies

TEXT BOOKS

1. ARTIFICIAL INTELLIGENCE RICH E

REFERENCES

1. PROBLEM SOLVING METHODS IN
ARTIFICIAL INTELLIGENCE NISON N J

2. ARTIFICIAL INTELLIGENCE WINSTON P H

Earning:   Approval pending.