CS2351 ARTIFICIAL INTELLIGENCE Lecture Notes for CSE - Sixth (6th) Semester - by R.Anirudhan


CS2351 ARTIFICIAL INTELLIGENCE Lecture Notes for CSE - Sixth (6th) Semester 


CS2351 Lecture Notes

Syllabus :


UNIT I PROBLEM SOLVING
Introduction – Agents – Problem formulation – uninformed search strategies – heuristics
– informed search strategies – constraint satisfaction

UNIT II LOGICAL REASONING
Logical agents – propositional logic – inferences – first-order logic – inferences in firstorder
logic – forward chaining – backward chaining – unification – resolution

UNIT III PLANNING
Planning with state-space search – partial-order planning – planning graphs – planning
and acting in the real world

UNIT IV UNCERTAIN KNOWLEDGE AND REASONING
Uncertainty – review of probability - probabilistic Reasoning – Bayesian networks –
inferences in Bayesian networks – Temporal models – Hidden Markov models

UNIT V LEARNING
Learning from observation - Inductive learning – Decision trees – Explanation based
learning – Statistical Learning methods - Reinforcement Learning

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