BITM Artificial Intelligence

Give an example of acting rationally.

List any two types of deterministic environment.

Mention any two limitations of depth limited search.

Why do we need fuzzy set?

What is the task of activation function?

Define computer vision.

Write the function for sigmoid activation.

Distinguish between unification and lifting.

List the evaluation parameters for searching.

Define knowledge.

Do AI ethics guarantee the human value? Justify.

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

Differentiate between breadth first search and depth first search.

Why knowledge representation is important in artificial intelligence? Explain.

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

Describe the components of expert system.

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

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?

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

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