Question Bank For Artificial Intelligence Regulation 2013 7169i
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CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
CS6659 ARTIFICIAL INTELLIGENCE UNIT I PART A 1
Define Ideal rational agent?
2
Name the elements of an agent?
3
How would you rank Production system?
Evaluate
4
How would you quote PEAS description?
5
Apply problem solving algorithm to measure performance.
6
Explain the theme of Backtracking search for CSP?
7
Illustrate attributes?
8
List the types of constraints?
9
Point out the approaches followed to have AI?
10
How would you formulate Constraint Satisfaction Problem?
11
Express your understanding of AI?
12
What do you infer from hill-climbing search algorithm?
13
Generalize your opinion about issible heuristic?
Create
14
Define problem solving agents and list its algorithms?
15
Name the various Properties of task environment?
16
Summarize the factors that make up rationality?
17
What do you infer from the word Agent?
18
How would you interpret omniscience and rationality?
Understand
19
Will you state or interpret in your own words PEAS description for a
Understand
Apply Evaluate Apply Analyze Create Understand Analyze
Analyze
vacuum cleaner? 20
Show what would happen if problem is decomposed? 1
Apply
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
PART B 1
How did you describe PEAS description for at least four agent types?
2
Describe in detail about any of the four agent structure?
3
Can you apply the facts to describe Iterative deepening depth first
Apply
search? 4
Explain Depth limited search in detail with suitable example?
Analyze
5
Compare Depth-First search and Bidirectional search and
Evaluate
your views? 6
Summarize PEAS specification of the task environment of an agent?
Understand
7
Extend your idea about informed search strategy?
Understand
8
Analyze theme of Local search algorithms and optimization
Analyze
problems? 9
How do you examine about Backtracking search for CSP?
10
Compose your opinion about heuristic function?
Create
UNIT II PART A 1
Define logic and list the types of logic?
2
How would you deduce Production system?
3
How would you formulate lifting?
4
Compare and contrast Forward Versus Backward reasoning?
5
Generalize your opinion about Unification?
6
How would you describe Ramification problems?
7
Define epilog?
8
Compare prolog and epilog?
9
Discuss about BNF for first order logic?
Understand
10
Illustrate about existential instantiation?
Apply
11
Define the term syntax and semantics in logic?
12
How would you describe entailment?
13
Where do you use inference?
Evaluate Create Analyze Create
Analyze
Apply 2
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
14
Assess the term truth table for logical connectives?
15
Apply Backus – Naur form grammar for propositional logic?
16
Interpret the types of similarity net in finding the right structures
CSEITQUESTIONS.BLOGSPOT.IN
Evaluate
BTL-5
Apply
BTL-3
Understand
BTL-2
Analyze
BTL-4
under knowledge representation? 17
Analyze the theme behind horn clauses?
18
Discuss about Representation of facts?
Understand
BTL-2
19
Name the successor state axioms?
BTL-1
20
Extend your views about universal instantiation?
Understand
BTL-2
Understand
BTL-2
Analyze
BTL-4
BTL-1
Create
BTL-6
BTL-1
BTL-1
Understand
BTL-2
Evaluate
BTL-5
Apply
BTL-3
Analyze
BTL-4
PART B (16 MARK QUESTION) 1
Discuss in detail about Unification and lifting?
2
Explain in detail about predicate logic?
3
Describe in detail about Control knowledge?
4
Formulate your opinion about Logics for non monotonic reasoning?
5
How did you describe backward chaining in detail for first order definite clauses?
6
How would you tabulate the Syntax and semantics for first order logic?
7
How would you associate predicate logic to represent the knowledge with example?
8
Summarize your views about proposition logic?
9
Relate first order logic with proposition logic and discuss in detail about the same.
10
What conclusion can you infer from Knowledge engineering in first order logic?
3
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
UNIT III PART A 1
Define Constraint logic programming?
2
How would you define resolution?
3
How will you apply an example for distribute ^ over v?
4
How would you rank dilation, concentration and normalization in
Apply Evaluate
fuzzy theory? 5
Why do you show you understanding about default reasoning?
Apply
6
Can you collect an example for Bayesian belief network?
7
Analyze the equilibrium state in Bayesian network?
8
Express your views about Linguistic variable?
Understand
9
Define the term saturation.
10
Criticize about accessibility relation property?
11
How would you classify the types of methods used in probabilistic
Analyze
Evaluate Understand
reasoning? 12
What do you infer from generalized modus ponens rule?
Analyze
13
Generalize the term fuzzy subset.
14
Differentiate model logics and temporal logics?
Understand
15
Express in your own words about skolemization?
Understand
16
What would happen if we use skolem function in resolution?
17
What conclusion can you infer from traditional logics?
18
Extend your opinion about fuzzy characteristic function?
19
How would you define a belief interval in Dempster- Shafer theory?
20
How would you label an example for Bayesian belief network?
Create
Apply Analyze Create
PART B (16 Mark) 1
Describe in detail about dempster -shafer theory?
2
Can you apply the identified facts to describe Bayesian probabilistic
Apply
inference? 3
Explain about natural language computations in detail?
4
Describe in detail about First order inference rule? 4
Analyze Understand
CSEITQUESTIONS.BLOGSPOT.IN
5
CSEITQUESTIONS.BLOGSPOT.IN
Explain about forward chaining algorithm in detail? 6
your views about theory of fuzzy sets?
7
Discuss about inference rules for quantifiers?
8
Describe in detail about completeness of resolution?
9
Generalize your opinion about Constrain Satisfaction Problem?
10
Describe in detail about Bayesian network?
CSEITQUESTIONS.BLOGSPOT.IN
Analyze
UNIT IV PART A 1
Define the term discovery?
2
Why do you apply ABSTRIPS approach to problem solving?
3
Identify the importance of derivation analogy?
Analyze
4
Design a decision tree for your own Example.
Create
5
Discuss about winston’s Learning program?
6
Generalize the term classification?
7
How would you define macro-operators?
8
How would you identify a complete plan that has been discovered in
Apply
Understand Create
goal stack planning? 9
Can you list the type of learning?
10
How would you explain in your own example STRIPS and TWEAK
would solve the same block world problem? 11
How will you show an example for STRIPS – Style operators for the
Apply
blocks world? 12
Give an algorithm for nonlinear planning?
Understand
13
Express your views about three other planning techniques?
Understand
14
Grade the two capabilities included in ROTE learning?
15
List the functions performed in problem solving?
16
Recommend the theme behind reactive systems?
Evaluate
17
How would you express the types of discovery?
Understand
18
What conclusion can you infer from the modal truth criterion? 5
Evaluate
Analyze
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
19
What is EBL and pointout its input?
20
Examine what would happen if robot arm performs an action in
CSEITQUESTIONS.BLOGSPOT.IN
Analyze Apply
blocks world?
PART B (16 Mark)
1
How did you describe components of a planning system?
2
Summarize about learning in problem solving?
Understand
3
Analyze the theme of Learning with examples?
Analyze
4
Describe in detail about EBL?
5
Describe in detail about Goal stack planning?
6
Evaluate a reactive system?
7
Express your views about Rote Learning & Formal learning theory?
Understand
8
How would you integrate your opinion about discovery & analogy?
Create
9
Illustrate about nonlinear planning using constraint positioning with
Apply
Evaluate
an example? 10
What conclusion can you infer from hierarchical planning?
Analyze
UNIT V PART A (2 Marks) 1
List the characteristic features of expert system?
2
Identify the types of knowledge and possible structures.
3
What would you infer from a typical expert system?
4
How would you distinguish MYCIN and DART?
Understand
5
Will you summarize or interpret in your own words about different
Understand
Analyze
learning methods under performance measures? 6
How will you show example applications of expert system?
7
Assess the activities of knowledge acquisition?
8
Examine MOLE-p?
9
How would you classify the different knowledge types?
10
Analyze the components of black board system?
Apply Evaluate Apply
6
Understand Analyze
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
11
What would happen if factors affect learning performance?
Apply
12
Assess the theme of rule master building system?
13
Define uncertainty?
14
How would you interpret in your own words about neural network?
15
Associate knowledge acquisition process to a real world problem?
11
What conclusion can you infer from personal consultant plus?
12
Generalize your opinion about expert system shell?
13
Name the components of typical expert system?
14
Define production system inference cycle?
15
Can you list the five different learning methods used in knowledge
Evaluate Create Understand Analyze Create
aquisition.
PART B (16 Marks) 1
How did you describe Rule-Based system Architecture?
2
Examine about Associative or semantic network architecture and
frame architecture? 3 4
Explain in detail about General Learning Model? (i) How do you examine Performance measure in Knowledge
Analyze
acquisition? (ii) Describe in detail about Characteristic feature of expert system? 5
Can you apply the facts to describe Decision tree architecture and
Apply
Blackboard system Architecture? 6
What conclusion can you infer from Analogical reasoning
Analyze
Architecture and Neural Network Architecture? 7
Evaluate in detail about knowledge acquisition and validation?
8
Interpret in your own words about PC plus and Radian Rule master?
Understand
9
Associate KEE and OPS5 system to a real world problem?
Understand
10
Integrate your opinion about DART, MYCIN and XCON?
Create
7
Evaluate
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
CS6659 ARTIFICIAL INTELLIGENCE UNIT I PART A 1
Define Ideal rational agent?
2
Name the elements of an agent?
3
How would you rank Production system?
Evaluate
4
How would you quote PEAS description?
5
Apply problem solving algorithm to measure performance.
6
Explain the theme of Backtracking search for CSP?
7
Illustrate attributes?
8
List the types of constraints?
9
Point out the approaches followed to have AI?
10
How would you formulate Constraint Satisfaction Problem?
11
Express your understanding of AI?
12
What do you infer from hill-climbing search algorithm?
13
Generalize your opinion about issible heuristic?
Create
14
Define problem solving agents and list its algorithms?
15
Name the various Properties of task environment?
16
Summarize the factors that make up rationality?
17
What do you infer from the word Agent?
18
How would you interpret omniscience and rationality?
Understand
19
Will you state or interpret in your own words PEAS description for a
Understand
Apply Evaluate Apply Analyze Create Understand Analyze
Analyze
vacuum cleaner? 20
Show what would happen if problem is decomposed? 1
Apply
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
PART B 1
How did you describe PEAS description for at least four agent types?
2
Describe in detail about any of the four agent structure?
3
Can you apply the facts to describe Iterative deepening depth first
Apply
search? 4
Explain Depth limited search in detail with suitable example?
Analyze
5
Compare Depth-First search and Bidirectional search and
Evaluate
your views? 6
Summarize PEAS specification of the task environment of an agent?
Understand
7
Extend your idea about informed search strategy?
Understand
8
Analyze theme of Local search algorithms and optimization
Analyze
problems? 9
How do you examine about Backtracking search for CSP?
10
Compose your opinion about heuristic function?
Create
UNIT II PART A 1
Define logic and list the types of logic?
2
How would you deduce Production system?
3
How would you formulate lifting?
4
Compare and contrast Forward Versus Backward reasoning?
5
Generalize your opinion about Unification?
6
How would you describe Ramification problems?
7
Define epilog?
8
Compare prolog and epilog?
9
Discuss about BNF for first order logic?
Understand
10
Illustrate about existential instantiation?
Apply
11
Define the term syntax and semantics in logic?
12
How would you describe entailment?
13
Where do you use inference?
Evaluate Create Analyze Create
Analyze
Apply 2
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
14
Assess the term truth table for logical connectives?
15
Apply Backus – Naur form grammar for propositional logic?
16
Interpret the types of similarity net in finding the right structures
CSEITQUESTIONS.BLOGSPOT.IN
Evaluate
BTL-5
Apply
BTL-3
Understand
BTL-2
Analyze
BTL-4
under knowledge representation? 17
Analyze the theme behind horn clauses?
18
Discuss about Representation of facts?
Understand
BTL-2
19
Name the successor state axioms?
BTL-1
20
Extend your views about universal instantiation?
Understand
BTL-2
Understand
BTL-2
Analyze
BTL-4
BTL-1
Create
BTL-6
BTL-1
BTL-1
Understand
BTL-2
Evaluate
BTL-5
Apply
BTL-3
Analyze
BTL-4
PART B (16 MARK QUESTION) 1
Discuss in detail about Unification and lifting?
2
Explain in detail about predicate logic?
3
Describe in detail about Control knowledge?
4
Formulate your opinion about Logics for non monotonic reasoning?
5
How did you describe backward chaining in detail for first order definite clauses?
6
How would you tabulate the Syntax and semantics for first order logic?
7
How would you associate predicate logic to represent the knowledge with example?
8
Summarize your views about proposition logic?
9
Relate first order logic with proposition logic and discuss in detail about the same.
10
What conclusion can you infer from Knowledge engineering in first order logic?
3
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
UNIT III PART A 1
Define Constraint logic programming?
2
How would you define resolution?
3
How will you apply an example for distribute ^ over v?
4
How would you rank dilation, concentration and normalization in
Apply Evaluate
fuzzy theory? 5
Why do you show you understanding about default reasoning?
Apply
6
Can you collect an example for Bayesian belief network?
7
Analyze the equilibrium state in Bayesian network?
8
Express your views about Linguistic variable?
Understand
9
Define the term saturation.
10
Criticize about accessibility relation property?
11
How would you classify the types of methods used in probabilistic
Analyze
Evaluate Understand
reasoning? 12
What do you infer from generalized modus ponens rule?
Analyze
13
Generalize the term fuzzy subset.
14
Differentiate model logics and temporal logics?
Understand
15
Express in your own words about skolemization?
Understand
16
What would happen if we use skolem function in resolution?
17
What conclusion can you infer from traditional logics?
18
Extend your opinion about fuzzy characteristic function?
19
How would you define a belief interval in Dempster- Shafer theory?
20
How would you label an example for Bayesian belief network?
Create
Apply Analyze Create
PART B (16 Mark) 1
Describe in detail about dempster -shafer theory?
2
Can you apply the identified facts to describe Bayesian probabilistic
Apply
inference? 3
Explain about natural language computations in detail?
4
Describe in detail about First order inference rule? 4
Analyze Understand
CSEITQUESTIONS.BLOGSPOT.IN
5
CSEITQUESTIONS.BLOGSPOT.IN
Explain about forward chaining algorithm in detail? 6
your views about theory of fuzzy sets?
7
Discuss about inference rules for quantifiers?
8
Describe in detail about completeness of resolution?
9
Generalize your opinion about Constrain Satisfaction Problem?
10
Describe in detail about Bayesian network?
CSEITQUESTIONS.BLOGSPOT.IN
Analyze
UNIT IV PART A 1
Define the term discovery?
2
Why do you apply ABSTRIPS approach to problem solving?
3
Identify the importance of derivation analogy?
Analyze
4
Design a decision tree for your own Example.
Create
5
Discuss about winston’s Learning program?
6
Generalize the term classification?
7
How would you define macro-operators?
8
How would you identify a complete plan that has been discovered in
Apply
Understand Create
goal stack planning? 9
Can you list the type of learning?
10
How would you explain in your own example STRIPS and TWEAK
would solve the same block world problem? 11
How will you show an example for STRIPS – Style operators for the
Apply
blocks world? 12
Give an algorithm for nonlinear planning?
Understand
13
Express your views about three other planning techniques?
Understand
14
Grade the two capabilities included in ROTE learning?
15
List the functions performed in problem solving?
16
Recommend the theme behind reactive systems?
Evaluate
17
How would you express the types of discovery?
Understand
18
What conclusion can you infer from the modal truth criterion? 5
Evaluate
Analyze
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
19
What is EBL and pointout its input?
20
Examine what would happen if robot arm performs an action in
CSEITQUESTIONS.BLOGSPOT.IN
Analyze Apply
blocks world?
PART B (16 Mark)
1
How did you describe components of a planning system?
2
Summarize about learning in problem solving?
Understand
3
Analyze the theme of Learning with examples?
Analyze
4
Describe in detail about EBL?
5
Describe in detail about Goal stack planning?
6
Evaluate a reactive system?
7
Express your views about Rote Learning & Formal learning theory?
Understand
8
How would you integrate your opinion about discovery & analogy?
Create
9
Illustrate about nonlinear planning using constraint positioning with
Apply
Evaluate
an example? 10
What conclusion can you infer from hierarchical planning?
Analyze
UNIT V PART A (2 Marks) 1
List the characteristic features of expert system?
2
Identify the types of knowledge and possible structures.
3
What would you infer from a typical expert system?
4
How would you distinguish MYCIN and DART?
Understand
5
Will you summarize or interpret in your own words about different
Understand
Analyze
learning methods under performance measures? 6
How will you show example applications of expert system?
7
Assess the activities of knowledge acquisition?
8
Examine MOLE-p?
9
How would you classify the different knowledge types?
10
Analyze the components of black board system?
Apply Evaluate Apply
6
Understand Analyze
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
CSEITQUESTIONS.BLOGSPOT.IN
11
What would happen if factors affect learning performance?
Apply
12
Assess the theme of rule master building system?
13
Define uncertainty?
14
How would you interpret in your own words about neural network?
15
Associate knowledge acquisition process to a real world problem?
11
What conclusion can you infer from personal consultant plus?
12
Generalize your opinion about expert system shell?
13
Name the components of typical expert system?
14
Define production system inference cycle?
15
Can you list the five different learning methods used in knowledge
Evaluate Create Understand Analyze Create
aquisition.
PART B (16 Marks) 1
How did you describe Rule-Based system Architecture?
2
Examine about Associative or semantic network architecture and
frame architecture? 3 4
Explain in detail about General Learning Model? (i) How do you examine Performance measure in Knowledge
Analyze
acquisition? (ii) Describe in detail about Characteristic feature of expert system? 5
Can you apply the facts to describe Decision tree architecture and
Apply
Blackboard system Architecture? 6
What conclusion can you infer from Analogical reasoning
Analyze
Architecture and Neural Network Architecture? 7
Evaluate in detail about knowledge acquisition and validation?
8
Interpret in your own words about PC plus and Radian Rule master?
Understand
9
Associate KEE and OPS5 system to a real world problem?
Understand
10
Integrate your opinion about DART, MYCIN and XCON?
Create
7
Evaluate
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