QUESTION BANK FOR ARTIFICIAL INTELLIGENCE REGULATION 2013

CSEITQUESTIONS.BLOGSPOT.IN CSEITQUESTIONS.BLOGSPOT.IN CSEITQUESTIONS.BLOGSPOT.IN CS6659 ARTIFICIAL INTELLIGENCE UNIT I PART A 1 Define Ideal rational agent? Remember 2 Name the elements of an agent? Remember 3 How would you rank Production system? Evaluate 4 How would you quote PEAS description? Remember 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 admissible heuristic? Create 14 Define problem solving agents and list its algorithms? Remember 15 Name the various Properties of task environment? Remember 16 Summarize the factors that make up rationality? Remember 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 Remember 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? Remember 2 Describe in detail about any of the four agent structure? Remember 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 support 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? Remember Create UNIT II PART A 1 Define logic and list the types of logic? Remember 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? Remember 7 Define epilog? Remember 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? Remember 12 How would you describe entailment? Remember 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? Remember BTL-1 20 Extend your views about universal instantiation? Understand BTL-2 Understand BTL-2 Analyze BTL-4 Remember BTL-1 Create BTL-6 Remember BTL-1 Remember 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? Remember 2 How would you define resolution? Remember 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. Remember 10 Criticize about accessibility relation property? 11 How would you classify the types of methods used in probabilistic Remember 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? Remember 20 How would you label an example for Bayesian belief network? Remember 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 Remember 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 Support 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? Remember 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? Remember 8 How would you identify a complete plan that has been discovered in Remember Apply Understand Create goal stack planning? 9 Can you list the type of learning? Remember 10 How would you explain in your own example STRIPS and TWEAK Remember 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? Remember 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? Remember 2 Summarize about learning in problem solving? Understand 3 Analyze the theme of Learning with examples? Analyze 4 Describe in detail about EBL? Remember 5 Describe in detail about Goal stack planning? Remember 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? Remember 2 Identify the types of knowledge and possible structures. Remember 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? Remember 14 Define production system inference cycle? Remember 15 Can you list the five different learning methods used in knowledge Remember Evaluate Remember Create Understand Analyze Create aquisition. PART B (16 Marks) 1 How did you describe Rule-Based system Architecture? Remember 2 Examine about Associative or semantic network architecture and Remember frame architecture? 3 4 Explain in detail about General Learning Model? (i) How do you examine Performance measure in Knowledge Analyze Remember 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