Important RGPV Question, AL-304 (AI), Artificial Intelligence, III Sem, AIML

Important RGPV Question

AL-304 Artificial Intelligence

III Sem, AIML

UNIT-1 : Fundamental of Artificial Intelligence

Q.1) What do you understand by the term “Intelligence”?

(RGPV Nov 2022)

Q.2) Explain the goals of Al in modern technology.

OR

List and explain the goals of Artificial Intelligence (AI).

(RGPV Nov 2022)

Q.3) Write Heuristic search algorithm. Explain it with suitable example.

(RGPV Nov 2022)

Q.4) Explain about A* algorithm in detail.

(RGPV Nov 2022)

Q.5) Explain about the contribution of Al in human life.

(RGPV Nov 2022)

Q.6) Write AO* algorithm? Use with suitable example how AO* algorithm is used for problem reduction?

Q.7) How problem characteristics help in the selection of Al technique? Explain these characteristics with possible examples.

Q.8) How AI handles reasoning under uncertainity. Explain with example.

Q.9) Explain the effect of overestimation and underestimation of it on A* algorithm.

Q.10) What are the heuristics and what is their importance? Describe their types with the help of examples. Also justify the statement:

“Heuristics are not sure to lead to a solution yet the field of AI is full of them”.

Q.11) What is Al Inference? Explain.

(RGPV June 2023)

Q.12) Explain the Best First Search algorithm in detail?

(RGPV June 2023)

Q.13) Explain the causes of uncertainty in AI?

(RGPV June 2023)

UNIT-2 : Knowledge Representation

Q.1) Elucidate various knowledge level representations involved in reasoning process.

(RGPV Nov 2022)

Q.2) Explain resolution in predicate logic.

(RGPV Nov 2022)

Q.3) Explain about resolution, refutation and deduction.

(RGPV Nov 2022)

Q.4) Explain the Resolution algorithm used for reasoning under predicate logic with an example.

Q.5) Explain how does predicate logic help in knowledge representation in AI?

(RGPV June 2023)

Q.6) Explain the various problems in knowledge representation?

(RGPV June 2023)

Q.7) Explain Refutation in AI.

(RGPV June 2023)

UNIT-3 : Probabilistic reasoning

Q.1) Explain Baye’s theorem.

(RGPV Nov 2022)

Q.2) Explain about forward and backward chaining.

(RGPV Nov 2022)

Q.3) Explain these terms-

i) Frames

ii) Scripts

iii) Conceptual dependency

(RGPV Nov 2022)

Q.4) Write about the semantic networks used in artificial intelligence.

(RGPV Nov 2022)

Q.5) Draw a semantic network representing the following knowledge:

Every vehicle is a physical object. Every car is a vehicle. Every car has four wheels. Electrical system is a part of car. Battery is a part of electrical system. Pollution system is a part of every vehicle. Vehicle is used in transportation. Swift is a car.

Q.6) Write various Knowledge Representation issues.

Provide the solution of any of two issues.

Q.7) Explain the difference between:

(a) Deductive and inductive learning

(b) Forward and Backward reasoning.

Q.8) Explain the following with example:

a) Forward reasoning

b) Non Monotonic Reasoning

Q.9) Give advantage and disadvantage of Semantic Net. Construct partitioned semantic net representation for the the following sentence: God help those who help themselves.

Q.10) Define Baye’s Theorem? Explain the applications of Baye’s Theorem.

(RGPV June 2023)

Q.11) Write a short note on backward reasoning?

(RGPV June 2023)

UNIT-4 : Game playing techniques like minimax procedure, Introduction to understanding, NLP

Q.1) Write about Natural Language Processing. Also explain about applications of NLP to design expert system.

(RGPV Nov 2022)

Q.2) Explain the alpha-beta cut-off in game playing techniques.

(RGPV Nov 2022)

Q.3) Discuss is the significance of sensors and vision system in robotics designing.

Q.4) Explain Architecture of an Expert system. Give its three application areas.

Q.5) Explain the different components of industrial robotics. How it is different from the conventional robotics?

Q.6) Explain how prolog programing language is a good language for robot programming.

Q.7) What is the process of perception as perceived by the robot? Why it is difficult for robot?

Q.8) Give an overview of applications of Natural Language Processing?

(RGPV June 2023)

Q.9) Discuss Mini-Max algorithm steps in detail?

(RGPV June 2023)

Q.10) What is pruning? Discuss alpha-beta pruning method?

(RGPV June 2023)

UNIT-5 : Expert systems (ES) and its Characteristics

Q.1) What is Expert System? Write about its characteristics.

(RGPV Nov 2022)

Q.2) Explain about the components and capability of Expert system.

(RGPV Nov 2022)

Q.3) Discuss the expert system in domain of medicine using suitable case study? Explain its architecture describing its components.

Q.4) Describe different type of knowledge required to build an expert system.

Q.5) What is the significance of the expert-system approach to problem solving in the history of Al? How did it differ from, for example, means-ends analysis? How does it compare with Al approaches focusing on general mechanisms of intelligence?

Q.6) List and explain the components and capabilities of Expert. System?

(RGPV June 2023)

Q.7) Discuss the usage of backward chaining in Inference Engine?

(RGPV June 2023)

Q.8) Explain Benefits of Expert System.

(RGPV June 2023)

— Best of Luck for Exam —