23AD02-AI : Syllabus
TextBooks:
- "Artificial Intelligence : A Modern Approach" S. Russel
- Kevin Night and Elaine Rich, Nair B., “Artificial Intelligence (SIE)”,Mc Graw Hill
- Previous External Papers
UNIT-1 and UNIT-2 Notes
UNIT-1 : PPT Four Definitions of AI
- Introduction: AI problems, foundation of AI and history of AI intelligent agents: Agents and Environments, the concept of rationality, the nature of environments, structure of agents, problem solving agents, problem formulation ppt PPT2
- IGNOU Problem Formulation Notes
UNIT - II:
- Searching- Searching for solutions, uniformed search strategies – Breadth first search, depth first Search. Search with partial information (Heuristic search) Hill climbing, A* ,AO* Algorithms, Problem reduction, Game Playing-Adversial search, Games, mini-max algorithm, optimal decisions in multiplayer games, Problem in Game playing, Alpha-Beta pruning, Evaluation functions.
- BFS and DFS
- Hill Climbing
- Best First Search , A*
- Problem Reduction
- Alpha-Beta Pruning
- Searching- Searching for solutions, uniformed search strategies – Breadth first search, depth first Search. Search with partial information (Heuristic search) Hill climbing, A* ,AO* Algorithms, Problem reduction, Game Playing-Adversial search, Games, mini-max algorithm, optimal decisions in multiplayer games, Problem in Game playing, Alpha-Beta pruning, Evaluation functions.
- BFS and DFS
- Hill Climbing
- Best First Search , A*
- Problem Reduction
- Alpha-Beta Pruning
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