Introduction to Artificial Intelligence Syllabus for B.Tech 7th sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Introduction to Artificial Intelligence B.Tech (R13) seventhsem is as follows
OBJECTIVES:
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 Hours]
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 Hours]
Overview – Minimax search procedure – Adding Alpha – Beta cutoffs – Waiting for Quiescence – Secondary search
UNIT III : KNOWLEDGE REPRESENTATION [10 Hours]
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.
[TOTAL : 45 PERIODS]
OUTCOMES
- Use of Artificial Intelligence and tools solve engineering problems.
TEXT BOOK:
- Peter Norvig, Stuart Russell,” Artificial Intelligence, A modern approach”, Prentice Hall of India Pvt. Ltd, 2006
REFERENCES:
- M.W. Richaugh, “Artificial Intelligence, A Knowledge Based Approach”, PWS Rent Publishing, Boston.
- Charniac, E. and M.C. Dermott, “Introduction to Artificial Intelligence”, Pearson Education, 2002
For all other B.Tech MF 7th sem syllabus go to Anna University B.Tech MANUFACTURING ENGINEERING (MF) 7th Sem Course Structure for (R13) Batch. All details and yearly new syllabus will be updated here time to time. Subscribe, like us on facebook and follow us on google plus for all updates.
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