Information and Communication TechnologycoretheorySem 3
ARTIFICIAL INTELLIGENCE
ICT 4401
Syllabus
- 01Introduction
- 02Searching State Space
- 03Multiagent Search
- 04Propositional Logic
- 05First-Order Logic: Basics of FoL, Expert systems with FoL, Systematic inference procedures
- 06Knowledge Representation: Ontological engineering, Reasoning systems for categories
- 07Quantifying Uncertainty: Acting under uncertainity, Inference with full joint distributions
- 08Probabilistic Reasoning: Knowledge representation in uncertain domain, Bayesian networks
- 09Making Simple Decisions: Combining beliefs and desires under uncertainty, Decision-theoretic expert functions
References
- Charu C Agarwal, Artificial Intelligence, Springer, 2021
- Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (3e), Pearson 2015
- Wolfgang Ertel, Introduction to Artificial Intelligence (2e), Springer, 2018
Credits Structure
3Lecture
0Tutorial
0Practical
3Total