IS4014 Artificial Intelligence and Expert Systems Syllabus:
IS4014 Artificial Intelligence and Expert Systems Syllabus – Anna University PG Syllabus Regulation 2021
OBJECTIVES:
To know the fundamental concepts and applications of Artificial intelligence.
To familiarize with AI languages like PROLOG and LISP.
To understand the various features of expert system
To have knowledge about Neural Network and corresponding selection of parameters.
UNIT I INTRODUCTION
Intelligence – Definition, types cognitive aspect approach, measuring intelligence – early efforts, IQ and AI: aspects of intelligence – learning, problem solving, creativity, behaviour and biology. Artificial intelligence: Historical background, applications of AI, objections and myths, AI languages: Introduction to PROLOG and LISP.
UNIT II COGNITIVE PSYCHOLOGY
The mind – informative and cybernetics, components for thought, modes of perception – visual, auditory and other systems: memory mechanisms, problem solving – planning, search, the GPS systems; types of learning – rote, parameter, method and concept: Game playing, reasoning, Artificial Vision – picture processing – identifying real objects; Vision programs, factory vision systems.
UNIT III KNOWLEDGE ENGINEERING
Introduction – role of knowledge engineer, knowledge representation – psychology, production rules, logic and programming, Common sense and fuzzy logic, semantic networks, learning systems.
UNIT IV EXPERT SYSTEMS
Introduction, knowledge acquisition for Expert system, features of Expert systems –System structure, inference Engines, uncertainties, memory mechanisms, range of applications, actual expert systems – VP expert. Assignment – Development of a simple expert system.
UNIT V INTRODUCTION TO NEURAL NETWORKS
Neural Network Architecture – Learning methods – Architecture of a Back Propagation Network – Selection of parameters – Simple variations of BPN.
TOTAL: 45 PERIODS
OUTCOMES:
To apply various aspects of intelligence to diverse industrial situations
To list out the applications of expert system To develop a simple expert system related to industrial safety Engineering.
To apply neural network concepts in safety engineering discipline.
REFERENCES:
1. Charnaik, E., and McDermott, D., “Introduction to Artificial Intelligence”, Addison Wesley, 1985.
2. Dan W. Patterson, “Introduction to Artificial Intelligence and Expert Systems”, Prentice Hall of India, 1992.
3. Elaine R., and Kevin, “Artificial Intelligence”, 2nd Edition, Tata McGraw Hill, 1994.
4. Nilsson, N.J., “Principles of AI”, Narosa Publishing House, 1990.
5. Rajasekaran S and Vijayalakshmi Pai, G.A, “Neural Networks, Fuzzy Logic and Genetic Algorithms – Synthesis and Applications”, PHI, 2003.
6. Schalkoff, R.J., “Artificial Intelligence” – An Engineering Approach”, McGraw Hill International Edition, Singapore, 1992.
7. Winston, P.H., “Artificial Intelligence”, Addison Wesley, 1990.