MF3012 ARTIFICIAL INTELLIGENCE SYLLABUS | ANNA UNIVERSITY BE MANUFACTURING ENGINEERING 8TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY 8TH SEMESTER B.E MANUFACTURING ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
MF3012 ARTIFICIAL INTELLIGENCE LT P C
3 0 0 3
AIM:
To give the basic principles, structure and application of different types of logical
systems, softwares and knowledge representations.
OBJECTIVE:
The objective of this course is to familiarize the students in the basic principles of
Artificial Intelligence and important topics such as Heuristics, game playing, knowledge
representation
UNIT I INTRODUCTION 10
Definition – Pattern recognition – Criteria of Success – Production Systems – Control
Strategies – Heuristic search – Problem Characteristics – Production System
Characteristics – Forward and backward reasoning – Matching indexing – Heuristic
Functions – Search – Search Algorithms.
UNIT II GAME PLAYING 8
Overview – Minimax search procedure – Adding Alpha – Beta cutoffs – Waiting for
Quiescence – Secondary search
UNIT III KNOWLEDGE REPRESENTATION 10
Use of Predicate logic – Introduction to representation – representing – simple facts in
logic – augmenting the representation – resolution – Conversion to clause from – The
basis of resolution – Unification of algorithm – Question answering – Natural Deduction.
UNIT IV KNOWLEDGE REPRESENTAION USING OTHER LOGIC 8
Non-monotonic reasoning – Statistical and Probabilistic reasoning – Techniques for
dealing with a random world and deterministic world – rule based system.
UNIT V STRUCTURAL REPRESENTATIONS OF KNOWLEDGE 9
Common knowledge structures – Level of representation – Right structure – Declarative
representations – Semantic nets – Conceptual dependency – Frames – Scripts –
Procedural representation – Natural language understanding – Perception – learning –
Implementation A.I. Systems.
TOTAL : 45 PERIODS
TEXT BOOK
1. Peter Norvig, Stuart Russell,” Artificial Intelligence, A modern approach”, Prentice
Hall of India Pvt. Ltd,2006
REFERENCES
1. M.W. Richaugh, “Artificial Intelligence, A Knowledge Based Approach”, PWS Rent
Publishing, Boston.
2. Charniac, E. and M.C.Dermott, “Introduction to Artificial Intelligence”, Pearsion
Education,2002
MF3012 ARTIFICIAL INTELLIGENCE LT P C
3 0 0 3
AIM:
To give the basic principles, structure and application of different types of logical
systems, softwares and knowledge representations.
OBJECTIVE:
The objective of this course is to familiarize the students in the basic principles of
Artificial Intelligence and important topics such as Heuristics, game playing, knowledge
representation
UNIT I INTRODUCTION 10
Definition – Pattern recognition – Criteria of Success – Production Systems – Control
Strategies – Heuristic search – Problem Characteristics – Production System
Characteristics – Forward and backward reasoning – Matching indexing – Heuristic
Functions – Search – Search Algorithms.
UNIT II GAME PLAYING 8
Overview – Minimax search procedure – Adding Alpha – Beta cutoffs – Waiting for
Quiescence – Secondary search
UNIT III KNOWLEDGE REPRESENTATION 10
Use of Predicate logic – Introduction to representation – representing – simple facts in
logic – augmenting the representation – resolution – Conversion to clause from – The
basis of resolution – Unification of algorithm – Question answering – Natural Deduction.
UNIT IV KNOWLEDGE REPRESENTAION USING OTHER LOGIC 8
Non-monotonic reasoning – Statistical and Probabilistic reasoning – Techniques for
dealing with a random world and deterministic world – rule based system.
UNIT V STRUCTURAL REPRESENTATIONS OF KNOWLEDGE 9
Common knowledge structures – Level of representation – Right structure – Declarative
representations – Semantic nets – Conceptual dependency – Frames – Scripts –
Procedural representation – Natural language understanding – Perception – learning –
Implementation A.I. Systems.
TOTAL : 45 PERIODS
TEXT BOOK
1. Peter Norvig, Stuart Russell,” Artificial Intelligence, A modern approach”, Prentice
Hall of India Pvt. Ltd,2006
REFERENCES
1. M.W. Richaugh, “Artificial Intelligence, A Knowledge Based Approach”, PWS Rent
Publishing, Boston.
2. Charniac, E. and M.C.Dermott, “Introduction to Artificial Intelligence”, Pearsion
Education,2002
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