Department oftheorySem 4
ARTIFICIAL INTELLIGENCE
ELE 4409
Syllabus
- 01Foundations of Artificial Intelligence
- 02Intelligent Agents and Environments
- 03The concept of Rationality
- 04The Nature of Environments
- 05Problem Solving agents
- 06Searching for Solutions
- 07Uninformed search strategies
- 08Informed (Heuristic) search strategies
- 09Heuristic functions
- 10Local search algorithms and optimization problems
- 11Adversarial Search and Constraint satisfaction Problems
- 12Knowledge and Reasoning
- 13Knowledge-based agents
- 14The wumpus world
- 15Propositional logic
- 16First-order logic
- 17Syntax and semantics
- 18Knowledge representation
- 19Ontological Engineering
- 20Uncertain knowledge and Reasoning
- 21Acting under uncertainty
- 22Basic probability notation
- 23Semantics of Bayesian network
- 24Self-study: Case studies/simulation of various search techniques
References
- Stuart Russell & Peter Norvig, Artificial Intelligence A Modern Approach, 3e, Pearson, 2012
- Elaine Rich, Kevin Knight & Shivashankar B. Nair, Artificial Intelligence, 3e, Tata McGraw Hill, 2012
- David L. Poole & Alan K. Mackworth, Artificial Intelligence: Foundations of Computational Agents, 2e, CUP, 2017
- NPTEL Courses: http://nptel.ac.in/courses/106105077/
Credits Structure
3Lecture
0Tutorial
0Practical
3Total