Subject Details
Dept     : AIML
Sem      : 3
Regul    : R2023
Faculty : Dr Angel Latha Mary S
phone  : 9842242882
E-mail  : hod.it@snsct.org
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Lecture Notes

UNIT 1:
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Introduction – AI problems
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Introduction – AI problems
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Introduction – AI problems
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Problem Characteristics
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Problem formulation
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heuristics
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uninformed search strategies
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informed search strategies
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constraint satisfaction
UNIT 2:
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Propositional logic, Propositional theorem proving
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Inferences, First-order logic
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Inferences, First-order logic
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Forward Chaining
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Backward Chaining, Resolution
UNIT 3:
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Classical planning
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Algorithms for classical planning
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Heuristics for planning
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Analysis, Knowledge Representation
UNIT 4:
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Uncertainty
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Review of probability, Probabilistic Reasoning
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Semantic Networks
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Bayesian networks
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Hidden Markov models
UNIT 5:
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Learning from observation
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Decision trees
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Explanation based learning
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Statistical Learning methods
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Reinforcement Learning