AL3391 Artificial Intelligence Study Materials
Anna University – AL3391 Artificial Intelligence Regulation 2021 Syllabus, Notes, Important Questions, Question Paper with Answers, Previous Year Question Paper
UNIT I INTELLIGENT AGENTS AL3391 Artificial Intelligence Syllabus
Introduction to AI – Agents and Environments – concept of rationality – nature of environments –
structure of agents. Problem solving agents – search algorithms – uninformed search strategies.
UNIT II PROBLEM SOLVING AL3391 Artificial Intelligence Notes
Heuristic search strategies – heuristic functions. Local search and optimization problems – local
search in continuous space – search with non-deterministic actions – search in partially observable
environments – online search agents and unknown environments
UNIT III GAME PLAYING AND CSP AL3391 Artificial Intelligence Important Questions
Game theory – optimal decisions in games – alpha-beta search – monte-carlo tree search –
stochastic games – partially observable games. Constraint satisfaction problems – constraint
propagation – backtracking search for CSP – local search for CSP – structure of CSP.
UNIT IV LOGICAL REASONING AL3391 Artificial Intelligence Question Papers
Knowledge-based agents – propositional logic – propositional theorem proving – propositional
model checking – agents based on propositional logic. First-order logic – syntax and semantics –
knowledge representation and engineering – inferences in first-order logic – forward chaining –
backward chaining – resolution.
UNIT V PROBABILISTIC REASONING AL3391 Artificial Intelligence Question Bank
Acting under uncertainty – Bayesian inference – naïve Bayes models. Probabilistic reasoning –
Bayesian networks – exact inference in BN – approximate inference in BN – causal networks.
| Syllabus | Click Here |
| Notes | Click Here |
| Important Questions | Click Here |
| Previous Year Question Paper | Click Here |
| Question Bank | Click Here |
TEXT BOOKS: AL3391 Artificial Intelligence Important Questions
1. Stuart Russell and Peter Norvig, “Artificial Intelligence – A Modern Approach”, Fourth
Edition, Pearson Education, 2021.
63
REFERENCES AL3391 AI Notes
1. Dan W. Patterson, “Introduction to AI and ES”, Pearson Education,2007
2. Kevin Night, Elaine Rich, and Nair B., “Artificial Intelligence”, McGraw Hill, 2008
3. Patrick H. Winston, “Artificial Intelligence”, Third Edition, Pearson Education, 2006
4. Deepak Khemani, “Artificial Intelligence”, Tata McGraw Hill Education, 2013.
5. http://nptel.ac.in/
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