Sathyabama Institute of Science and Technology BE EEE SBMA4008 Artificial Intelligence and Expert Systems Syllabus

[Arvind Kumar]

Sathyabama Institute of Science and Technology BE EEE SBMA4008 Artificial Intelligence and Expert Systems Syllabus

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY SCHOOL OF MECHANICAL ENGINEERING

SBMA4008 ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
L T P Credits Total Marks
3 0 0 3 100

UNIT 1 AI AND INTERNAL REPRESENTATION 9 Hrs.
The AI problem–What is AI technology–Level of the Model – Criteria for Success problems, Problem Spaces & Searches &
Heuristic Search Technology Problem as a State Space Search –Production Systems– production System Characteristics –
Generate & Test– Hill Climbing–Best First Search–Constraint Satisfaction– Means End Analysis.

UNIT 2 KNOWLEDGE REPRESENTATION 9 Hrs.
Issues in Knowledge Representation–Using Predicate Logic – Representing Simple Facts in Logic, Representing Instance &
Isa Relationship – Computable Functions & IPredicates–Representing Knowledge Using Rules: Procedural Vs. Declarative
Knowledge–Forward Vs. Backward Reasoning.

UNIT 3 SLOT AND FILLERSTRUCTURES 9 Hrs.
Weak Slot & Filler – Semantic Nets – Frames Strong & filler Structures – Scripts – CYC-CYCL

UNIT 4 EXPERT SYSTEMS 9 Hrs.
Whatare Expert Systems – Knowledge Representationin Expert Systems–Symbolic Computation–Rule based Systems
UNIT 5 TOOLS FOR BUILDING EXPERT SYSTEMS 9 Hrs.
Using Domain Knowledge–Knowledge Acquisition–Design for Explanation–Black Board Architecture– Truth Maintenance
Systems–Machine Learning–Case based Reasoning
Max. 45 Hrs.

COURSE OUTCOMES
On completion of the course, student will be able to
CO1 - Understands the basics of Artificial intelligence and the various searching techniques
CO2 - Analyses the knowledge representation through forward and backward chaining techniques
CO3 - Applies and articulate the knowledge over the design of sementic nets
CO4 - Explains the various expert systems by applying appropriate rule base
CO5 - Evaluates the architecture and frameworks of Truth Maintenance systems through machine Learning algorithms
CO6 - Creates the design of real time AI and expert systems through various case studies

TEXT / REFERENCE BOOKS
1 Elaine Rich, Kevin Knight, Artifical Intelligence, 2nd Edition, Tata McGraw Hill,1992.
2 Peter Jackson, Introduction to Expert Systems, 3rd Edition, Addison Wesley, 1st Indian Reprint, 2000.

END SEMESTER EXAMINATION QUESTION PAPER PATTERN
Max. Marks: 100 Exam Duration: 3 Hrs.
PART A: 10 Questions of 2marks each – No choice 20 Marks
PART B: 2 Questions from each unit of internal choice ;eachcarrying16marks 80 Marks