Anna University Tiruchirappalli - 620 024
Regulations 2007 Sylllabus
M.E. COMPUTER SCIENCE AND ENGINEERING
ELECTIVES CS5016 – AGENT BASED INTELLIGENT SYSTEMS
UNIT I FUNDAMENTALS 9
Definitions – Foundations – History – Intelligent Agents – Problem Solving – Searching – Heuristics – Constraint Satisfaction Problems – Game playing.
UNIT II KNOWLEDGE REPRESENTATION AND REASONING 9
Logical Agents – First Order Logic – First Order Inference – Unification – Chaining – Resolution
Strategies – Knowledge Representation – Objects – Actions – Events.
UNIT III PLANNING AGENTS 9
Planning Problem – State Space Search – Partial Order Planning – Graphs – Nondeterministic
Domains – Conditional Planning – Continuous Planning – MultiAgent Planning.
UNIT IV AGENTS AND UNCERTAINITY 9
Acting under uncertainty – Probability Notation – Bayes Rule and Use – Bayesian Networks – Other Approaches – Time and Uncertainty – Temporal Models – Utility Theory – Decision Network – Complex Decisions.
UNIT V HIGHER LEVEL AGENTS 9
Knowledge in Learning – Relevance Information – Statistical Learning Methods – Reinforcement Learning – Communication – Formal Grammar – Augmented Grammars– Future of AI.
Total: 45
TEXT BOOK
1. Stuart Russell and Peter Norvig, “Artificial Intelligence A Modern Approach”, 2nd Edition,
Prentice Hall, 2002.
REFERENCES
1. Michael Wooldridge, “An Introduction to Multi Agent System”, John Wiley, 2002.
2. Patrick Henry Winston, “Artificial Intelligence”, 3nd Edition, AW, 1999.
3. Nils.J.Nilsson, “Principles of Artificial Intelligence”, Narosa Publishing House, 1992.
Regulations 2007 Sylllabus
M.E. COMPUTER SCIENCE AND ENGINEERING
ELECTIVES CS5016 – AGENT BASED INTELLIGENT SYSTEMS
UNIT I FUNDAMENTALS 9
Definitions – Foundations – History – Intelligent Agents – Problem Solving – Searching – Heuristics – Constraint Satisfaction Problems – Game playing.
UNIT II KNOWLEDGE REPRESENTATION AND REASONING 9
Logical Agents – First Order Logic – First Order Inference – Unification – Chaining – Resolution
Strategies – Knowledge Representation – Objects – Actions – Events.
UNIT III PLANNING AGENTS 9
Planning Problem – State Space Search – Partial Order Planning – Graphs – Nondeterministic
Domains – Conditional Planning – Continuous Planning – MultiAgent Planning.
UNIT IV AGENTS AND UNCERTAINITY 9
Acting under uncertainty – Probability Notation – Bayes Rule and Use – Bayesian Networks – Other Approaches – Time and Uncertainty – Temporal Models – Utility Theory – Decision Network – Complex Decisions.
UNIT V HIGHER LEVEL AGENTS 9
Knowledge in Learning – Relevance Information – Statistical Learning Methods – Reinforcement Learning – Communication – Formal Grammar – Augmented Grammars– Future of AI.
Total: 45
TEXT BOOK
1. Stuart Russell and Peter Norvig, “Artificial Intelligence A Modern Approach”, 2nd Edition,
Prentice Hall, 2002.
REFERENCES
1. Michael Wooldridge, “An Introduction to Multi Agent System”, John Wiley, 2002.
2. Patrick Henry Winston, “Artificial Intelligence”, 3nd Edition, AW, 1999.
3. Nils.J.Nilsson, “Principles of Artificial Intelligence”, Narosa Publishing House, 1992.
0 comments :
Post a Comment