Anna University , Chennai
Department of Computer Science Engineering
Sixth Semester
CS2351 Artificial Intelligence
May June 2014 Important Questions
(Regulation 2008)
Department of Computer Science Engineering
Sixth Semester
CS2351 Artificial Intelligence
May June 2014 Important Questions
(Regulation 2008)
Attachment :
UNIT I
1. Explain in detail about the classification of task environments.
2. Explain about various agent programs in detail.
3. Explain in detail about informed / heuristic searching strategies.
4. Explain in detail about Constraint Satisfaction Problems.
5. Explain how backtracking search is carried out in CSPs. Explain with examples.
UNIT II
1. What are the steps involved in knowledge engineering process. Explain with an example.
2. What are unification and lifting in first order logic?
3. Explain briefly about forward chaining with an example.
4. Explain briefly about backward chaining with an example.
5. Explain in detail about resolution in first order logic.
UNIT III
1. Explain in detail about Planning with State-Space Search.
2. Explain partial order planning with example.
3. Explain GRAPHPLAN algorithm in detail.
4. Explain the concept of Hierarchical Task Network Planning in detail.
5. Explain in detail about Multi-agent planning.
UNIT IV
1. Explain various axioms of probability.
2. Explain in detail about Bayes' Rule and Its Use.
3. Explain the Semantics of Bayesian Networks.
4. Explain how inference can be achieved in Bayesian Networks.
5. Explain in detail about Hidden Markov Models
UNIT V
1. Explain in detail about Learning Decision Trees.
2. Explain in detail about how logical formulation of learning is carried out?
3. Write notes on Inductive Logic Programming with an example.
4. Explain in detail about learning with hidden variables? (or) Explain about EM
5. Write notes on Passive and Active reinforcement learning.
1. Explain in detail about the classification of task environments.
2. Explain about various agent programs in detail.
3. Explain in detail about informed / heuristic searching strategies.
4. Explain in detail about Constraint Satisfaction Problems.
5. Explain how backtracking search is carried out in CSPs. Explain with examples.
UNIT II
1. What are the steps involved in knowledge engineering process. Explain with an example.
2. What are unification and lifting in first order logic?
3. Explain briefly about forward chaining with an example.
4. Explain briefly about backward chaining with an example.
5. Explain in detail about resolution in first order logic.
UNIT III
1. Explain in detail about Planning with State-Space Search.
2. Explain partial order planning with example.
3. Explain GRAPHPLAN algorithm in detail.
4. Explain the concept of Hierarchical Task Network Planning in detail.
5. Explain in detail about Multi-agent planning.
UNIT IV
1. Explain various axioms of probability.
2. Explain in detail about Bayes' Rule and Its Use.
3. Explain the Semantics of Bayesian Networks.
4. Explain how inference can be achieved in Bayesian Networks.
5. Explain in detail about Hidden Markov Models
UNIT V
1. Explain in detail about Learning Decision Trees.
2. Explain in detail about how logical formulation of learning is carried out?
3. Write notes on Inductive Logic Programming with an example.
4. Explain in detail about learning with hidden variables? (or) Explain about EM
5. Write notes on Passive and Active reinforcement learning.
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