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CS1351 – ARTIFICIAL INTELLIGENCE

CS1351 – ARTIFICIAL INTELLIGENCE

UNIT I 

FUNDAMENTALS

              Intelligent agents − Agents and environments − Good behavior − The nature of environments − Structure of agents − Problem solving − Problem solving agents − Example problems − Searching for solutions − Uniformed search strategies − Avoiding repeated states − Searching with partial information.

UNIT II 

SEARCHING TECHNIQUES

              Informed search and exploration − Informed search strategies − Heuristic function − Local search algorithms and optimistic problems − Local search in continuous spaces − Online search agents and unknown environments − Constraint Satisfaction Problems(CSP) − Backtracking Search and Local Search for CSP − Structure of problems − Adversarial search − Games − Optimal decisions in games − Alpha-Beta
pruning − Imperfect real-time decision − Games that include an element of chance.

UNIT III 

KNOWLEDGE REPRESENTATION

             First order logic − Representation revisited − Syntax and semantics for first order logic − Using first order logic − Knowledge engineering in first order logic − Inference in first order logic − Propositional versus first order logic − Unification and lifting − Forward chaining − Backward chaining − Resolution − Knowledge representation − Ontological engineering − Categories and objects − Actions − Simulation and events − Mental events and mental objects.

UNIT IV 

LEARNING

             Learning from observations − Forms of learning − Inductive learning − Learning decision trees − Ensemble learning − Knowledge in learning − Logical formulation of learning − Explanation based learning − Learning using relevant information − Inductive logic programming − Statistical Learning Methods − Learning with Complete Data − Learning with Hidden Variable − EM Algorithm − Instance Based Learning − Neural Networks − Reinforcement Learning − Passive Reinforcement Learning − Active reinforcement learning − Generalization in reinforcement learning.

UNIT V

APPLICATIONS

              Communication − Communication as action − Formal grammar for a fragment ofenglish − Syntactic analysis − Augmented grammars − Semantic interpretation − Ambiguity and disambiguation − Discourse understanding − Grammar Induction − Probabilistic language processing − Probabilistic language models − Information Retrieval − Information extraction − Machine translation.

Artificial Intelligence Notes
2marks and 16 marks Question bank

Ilavarasan (Farmer)

Ilavarasan (Farmer)

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