Starting a new Lecture Notes Series on Computer Science - Artificial Intelligence
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Computer Science - Artificial Intelligence By Lecture Notes together!
Lecture 1: Artificial Intelligence: Introduction
Lecture 2: Introduction to AI
Lecture 3: AI Introduction: Philosophy
Lecture 4: AI Introduction
Lecture 5: Introduction: Philosophy
Lecture 6: State Space Search - Introduction
Lecture 7: Search - DFS and BFS
Lecture 8: Search DFID
Lecture 9: Heuristic Search
Lecture 10: Hill climbing
Lecture 11: Solution Space Search,Beam Search
Lecture 12: TSP Greedy Methods
Lecture 13: Tabu Search
Lecture 14: Optimization - I (Simulated Annealing)
Lecture 15: Optimization II (Genetic Algorithms)
Lecture 16: Population based methods for Optimization
Lecture 17: Population Based Methods II
Lecture 18: Branch and Bound, Dijkstra's Algorithm
Lecture 19: A* Algorithm
Lecture 20: Admissibility of A*
Lecture 21: A* Monotone Property, Iterative Deeping A*
Lecture 22: Recursive Best First Search, Sequence Allignment
Lecture 23: Pruning the Open and Closed lists
Lecture 24: Problem Decomposition with Goal Trees
Lecture 25: AO* Algorithm
Lecture 26: Game Playing
Lecture 27: Game Playing- Minimax Search
Lecture 28: Game Playing - AlphaBeta
Lecture 29: Game Playing-SSS *
Lecture 30: Rule Based Systems
Lecture 31: Inference Engines
Lecture 32: Rete Algorithm
Lecture 33: Planning
Lecture 34: Planning FSSP, BSSP
Lecture 35: Goal Stack Planning Sussman's Anomaly
Lecture 36: Non-linear planning
Lecture 37: Plan Space Planning
Lecture 38: GraphPlan
Lecture 39: Mod-01 Lec-39 Constraint Satisfaction Problems
Lecture 40: Mod-01 Lec-40 CSP Continued
Lecture 41: Mod-01 Lec-41 Knowlege Based Systems
Lecture 42: Mod-01 Lec-42 Knowledge Based Systems PL
Lecture 43: Mod-01 Lec-43 Propositional Logic
Lecture 44: Mod-01 Lec- 44 Resolution Refutation for PL
Lecture 45: Mod-01 Lec-45 First Order Logic (FOL)
Lecture 46: Mod-01 Lec-46 Reasoning in FOL
Lecture 47: Mod-01 Lec-47 Backward Chaining
Lecture 48: Mod-01 Lec-48 Resolution for FOL