Connected successfully Syllabus || SNS Courseware
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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Syllabus

UNIT
1
PROBLEM SOLVING

Introduction – AI problems – Problem Characteristics –Agents – Structure of an agent – Problem formulation – uninformed search strategies – heuristics – informed search strategies – constraint satisfaction

UNIT
2
LOGICAL REASONING

Logical agents – propositional logic – propositional theorem proving – propositional model checking – agents based on propositional logic - inferences – first-order logic – inferences in first order logic – propositional Vs. first order inference – unification &lifts – forward chaining – backward chaining – resolution. Case Study: Wumpus Problem

UNIT
3
PLANNING

Classical planning – algorithms for classical planning – heuristics for planning – hierarchical planning – non-deterministic domains – time, schedule, and resources – analysis – Knowledge Representation. Case Study: Weapons selling to hostile nations

UNIT
4
UNCERTAIN KNOWLEDGE AND REASONING

Uncertainty – review of probability - probabilistic Reasoning – Semantic networks – Bayesian networks – inferences in Bayesian networks – Temporal models – Hidden Markov models. Case Study: Prediction on Weather

UNIT
5
LEARNING

Learning from observation – Inductive learning – Decision trees – Explanation based learning – Statistical Learning methods –Reinforcement Learning. Case Study: Chat bot System

Reference Book:

1 G. Luger, “Artificial Intelligence: Structures and Strategies for complex problem solving”, Sixth Edition, Pearson Education, 2008. 2 Elaine Rich, Kevin Knight, “Artificial Intelligence”, Third Edition, Tata McGraw Hill, 2009 3 Anindita Das, “Artificial Intelligence & Soft Computing for Beginners”, First Edition, Shroff Publishers & Distributors Pvt Ltd, 2013. 4 Wolfgang Ertel, “Introduction to Artificial Intelligence”, 1st Edition, Springer, 2017. 5 David L. Poole and Alan K. Mackworth, “Artificial Intelligence: Foundations of Computational Agents”, 2nd Edition, Cambridge University Press, 2010.

Text Book:

S. Russel and P. Norvig, “Artificial Intelligence – A Modern Approach”, Third Edition, Pearson Education, 2010.