AD-304 Artificial Intelligence Notes
5 notes for Artificial Intelligence, unit by unit.
Notes for AD-304
- Unit 1 · Short notes Fundamentals of Artificial Intelligence History, motivation and need of AI · Production systems and their characteristics · Search space and search techniques: hill climbing, best‑first search, heuristic search, A* and AO*
- Unit 2 · Short notes Knowledge Representation Problems in representing knowledge · Knowledge representation using propositional logic · Knowledge representation using predicate logic · Comparison of propositional and predicate logic · Resolution, refutation and deduction · Theorem proving and inferencing
- Unit 3 · Short notes Probabilistic Reasoning and Semantic Networks Bayes' theorem and probabilistic reasoning · Semantic networks, scripts, schemas and frames · Conceptual dependency · Forward and backward reasoning
- Unit 4 · Short notes Game Playing, Planning and Natural Language Processing Game playing techniques: minimax procedure and alpha‑beta cut‑offs · Planning and the block‑world problem in robotics · Introduction to Natural Language Processing (NLP) · Components of NLP and its application to expert systems
- Unit 5 · Short notes Expert Systems Characteristics, requirements and components of expert systems · Inference engine: forward and backward chaining · Limitations of expert systems · Expert system development environment, technology and benefits