BITM Artificial Intelligence

Do you support biasness in AI? Give reason.

If AI passes the Turing test but has zero consciousness, did it actually pass the test? Justify your option.

Give an example of acting rationally.

Do AI ethics guarantee the human value? Justify.

How do you measure utility in agent?

List any two differences between simple reflexive and model based agent.

Write PEAS description for virtual shopping assistant.

List any two types of deterministic environment.

What do you mean by PEAS description of agents? Differentiate between goal-based and utility-based agents.

What is adversarial search?

When do your search is complete?

What is well defined problem?

Why do we need depth limited search and what are its limitations? Find the global maximum among two scenarios, one starting at \(x = 5\) and other starting at \(x = 3\) using Hill climbing search for the followings given information.

From any position x, you can only move to your immediate left neighbour \((x - 1)\) or immediate right neighbor \((x + 1)\).

Mention any two limitations of depth limited search.

List the evaluation parameters for searching.

Define constraint satisfaction problem. List any three types of primitive acts in conceptual dependency.

Differentiate between breadth first search and depth first search.

Find the optimal path from A to F in following graph using A* search. Assume the heuristic value as \(h(A) = 5\), \(h(B) = 6\), \(h(C) = 4\), \(h(D) = 3\), \(h(E) = 3\), \(h(F) = 0\).

What is a production system in the context of rule-based knowledge representation?

List the two types of quantifiers.

Define tautology.

Define fuzzy sets? How do you define membership in fuzzy set?

How do you represent knowledge using semantic nets and scripts? Explain with example.

Define proposition, unification and lifting. An engineer is analyzing a smart power grid under three binary random variables. Now given the following full joint distribution table, answer the given questions.

a. What is the total prior probability that the grid experience is a solar urge?

b. If there is no solar surge, what is the probability that the system is facing a failure risk?

Why do we need fuzzy set?

Distinguish between unification and lifting.

Define knowledge.

Why knowledge representation is important in artificial intelligence? Explain.

Give brief concept about semantic net as knowledge representation with example.

Describe fuzzy logic and its components, including fuzzy sets and membership functions. How does fuzzy logic differ from classical binary logic?

You have been planning a trip for your friends. You are trying to decide whether to postpone due to rain. The chance of rain on any days is 10%. The morning of the trip, its cloudy. The probability of it being cloudy is 30% and on days where it rains, it is cloudy in the morning 80% of the time. Should you postpone the trip?

What is reinforcement learning?

List and discuss the operators of genetic algorithm.

How do you train Hebbian learning to simulate the logical OR function? Illustrate.

Explain the concept of Back-propagation learning in neural networks. How does it improve the accuracy of the model during training?

What is the task of activation function?

Write the function for sigmoid activation.

Distinguish between CNN and RNN. Maximize the function \(f(x) = x^2, 0 \le x \le 15\) using genetic algorithm. Here assume the initial population as 1001, 1100, 1010, 1101. Apply 2 point crossover and bit flip mutation operation. Show the list of off springs after one iteration.

Discuss the pragmatic ambiguity in NLP. How can we solve it?

Explain components of machine vision system.

What is expert system? Explain the expert system with block diagram.

Define computer vision.

Describe the components of expert system.

Discuss the different ambiguities in NLP. Describe the mathematical model of a neuron.