Artificial Intelligence - R23 - Important Topics

UNIT – I: Introduction

✅ Most Important

• AI problems, foundation of AI, history of AI

• Intelligent agents: Agents & Environments

• Structure of agents, problem-solving agents

⭐ Important

• Concept of rationality, nature of environments

➖ Medium Important

• Problem formulation

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UNIT – II: Searching

✅ Most Important

• Uninformed search strategies: BFS, DFS

• Heuristic search: Hill climbing, A*, AO* algorithms

• Game playing: Adversarial search, Mini-max algorithm, Alpha-beta pruning

⭐ Important

• Problem reduction

• Optimal decisions in multiplayer games

• Evaluation functions

➖ Medium Important

• Problems in Game playing

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UNIT – III: Representation of Knowledge

✅ Most Important

• Knowledge representation issues

• Predicate logic, logic programming

• Semantic nets, frames & inheritance

• Rules-based deduction systems

⭐ Important

• Reasoning under uncertainty

• Bayes’ probabilistic reasoning

➖ Medium Important

• Constraint propagation, Dempster-Shafer theory

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UNIT – IV: Logic Concepts & Learning

✅ Most Important

• First order logic & inference in first order logic

• Propositional vs. first order inference

• Forward chaining, backward chaining, resolution

• Learning: Inductive learning, Decision trees

⭐ Important

• Unification & lifts

• Statistical learning methods

• Reinforcement learning

➖ Medium Important

• Explanation-based learning

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UNIT – V: Expert Systems

✅ Most Important

• Architecture of expert systems

• Roles of expert systems

• Typical expert systems: MYCIN, DART, XCON

⭐ Important

• Knowledge acquisition, meta-knowledge

• Heuristics

➖ Medium Important

• Expert system shells