IT-504 (A) · Artificial Intelligence/Official Syllabus
Artificial Intelligence (IT-504 (A)) - Official Syllabus
1
Unit 1
Meaning and definition of artificial intelligence
- Meaning and definition of artificial intelligence
- Production systems
- Characteristics of production systems
- Study and comparison of breadth first search and depth first search techniques
- other Search Techniques like hill Climbing
- Best first Search
- A* algorithm
- AO* algorithms etc
- various types of control strategies
2
Unit 2
Knowledge Representation
- Knowledge Representation
- Problems in representing knowledge
- knowledge representation using propositional and predicate logic
- comparison of propositional and predicate logic
- Resolution
- refutation
- deduction
- theorem proving
- inferencing
- monotonic and non-monotonic reasoning
3
Unit 3
Probabilistic reasoning and Structures
- Probabilistic reasoning
- Baye's theorem
- semantic networks
- scripts
- schemas
- frames
- conceptual dependency
- fuzzy logic
- forward and backward reasoning
4
Unit 4
Game playing and NLP
- Game playing techniques like minimax procedure
- alpha-beta cut-offs etc
- planning
- Study of the block world problem in robotics
- Introduction to understanding
- natural language processing
5
Unit 5
Learning and Neural Networks
- Introduction to learning
- Various techniques used in learning
- Introduction to neural networks
- applications of neural networks
- common sense
- reasoning
- some example of expert systems
Reference Books
- Artificial Intelligence — Rich E, Knight K — TMH, New Delhi
- Principles of Artificial Intelligence — Nelsson N.J. — Springer Verlag, Berlin
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