CS60045 Artificial Intelligence | Autumn 2020, L-T-P: 3-0-0 |
Schedule
Assignments and Exams
o Term Project Topic Choice 28thOctober o Assignment on Planning [Submit in Moodle] 31st October o Class Test 3 7th November o Term Project Presentation [Video Submission][Group Member - 5][Time Limit - 20mins] 12th November o Class Test 4 [8AM - 9AM][Full Syllaybus] 18th November o Weight of components: Tests (Best 3/4) 60%, Video+Report 20%, Two assignments 20% Syllabus
Introduction Course Introduction, Motivation. [1 hour] Problem solving by search State Space, Problem Reduction, Game Playing, Constraint Satisfaction. [7 hours] Automated Reasoning Proposition and first order logic, inference and deduction, resolution refutation, answer extraction, knowledge based systems, logic programming and constrained logic programming, non-monotonic reasoning. [6 hours] Planning State-space, plan space and partial order planning, planning algorithms. [4 hours] Reasoning under uncertainty Probabilistic reasoning, belief networks [5 hours] Learning Inductive learning, decision trees, logical approaches, computational learning theory, neural networks, reinforcement learning, Intelligent agents, natural language understanding, Applications. [8 hours] Books and References
[1] Stuart Russell, Peter Norvig, Artificial intelligence : A Modern Approach, Prentice Hall, Fourth edition, 2020. [2] Nils J. Nilsson, Artificial Intelligence: A New Synthesis, Morgan-Kaufmann, 1998. [3] Judea Pearl, Heuristics: Intelligent Search Strategies for Computer Problem Solving, Addison-Wesley Publishing Company, 1984. [4] Biere, A., Heule, M., Van Maaren, H., Walsh, T., Handbook of Satisfiability, IOS Press, 2009. Online Material
Previous course pages: 2019 | 2018
CS60045 Artificial Intelligence | Autumn 2020, L-T-P: 3-0-0 |