Artificial Intelligence and Soft Computing (AISC) MCQ's




Question 61 :
α -> β is FALSE only when α is .......... and β is ............

  1. TRUE, TRUE
  2. FALSE, TRUE
  3. TRUE, FALSE
  4. FALSE, FALSE
  

Question 62 :
____Agent provides crude binary distinction between Happy and Unhappy states

  1. Simple reflex agent
  2. Model based agent
  3. Learning agent
  4. Goal Based agent
  

Question 63 :
Genetic algorithm uses_________________ to determine optimization

  1. fit function
  2. fitness function
  3. active function
  4. strength function
  

Question 64 :
______________ offers a way to avoid solving hard representation problems by outsourcing all genetic operators to outside agents

  1. Automated Genetic Algorithm
  2. Intelligent Genetic Algorithm
  3. Best Genetic Algorithm
  4. Human-based Genetic Algorithm
  

Question 65 :
The mutation operator that replaces genome with upper or lower boundary randomly is

  1. Flip
  2. Boundary
  3. Uniform
  4. Gaussian
  

Question 66 :
Local beam search with k = 1 is _____ search

  1. Depth First
  2. Iterative deepening
  3. Hill Climbing
  4. Breadth First
  

Question 67 :
An agent is composed of .............

  1. Architecture
  2. Agent Function
  3. Perception Sequence
  4. Architecture and Program
  

Question 68 :
The space complexity of _____ is better than _______.

  1. BFS, DFS
  2. DFS, BFS
  3. BFS, Depth Limited Search
  4. BFS, IDDFS
  

Question 69 :
What is key advantage of local search algorithms?

  1. Less memory
  2. More time
  3. Less memory - Finds a solution in large infinite space
  4. Finds a solution in large infinite space
  

Question 70 :
_______ is regarded as brain of an Expert System.

  1. Inference Engine
  2. User Interface
  3. Knowledge Base
  4. End User
  

Question 71 :
In Membership function graph x-axis represents?

  1. Universe of discourse
  2. degrees of membership in the [0, 1] interval
  3. degrees of discourse
  4. Universe of membership
  

Question 72 :
Neural Network contain highly interconnected processing elements called as,

  1. Impulses
  2. Neurons
  3. Weights
  4. Data
  

Question 73 :
____________________ is tolerant to imprecision and uncertainty and follows a multivalued logic.

  1. Hard Computing
  2. Soft Computing
  3. Analytical Model based computing
  4. Adhoc Computing
  

Question 74 :
What is the space complexity of Depth-first search with branching factor b and maximum depth m

  1. O(b)
  2. O(bl)
  3. O(m)
  4. O(bm)
  

Question 75 :
Web crawler is a ....

  1. Intelligent goal-based agent
  2. Problem-Solving agent
  3. Simple reflex agent
  4. Model based agent
  

Question 76 :
Number of Nodes expanded in MinMax algorithm is _____ that of Alpha Beta Pruning method.

  1. less than
  2. always same as
  3. same or greater than
  4. less or same as
  

Question 77 :
What are you predicting by : ∀x mushroom(x) ˄ violet(x) __> poisonous(x) ?

  1. There is a violet mushroom, which is poisonous
  2. All mushrooms are poisonous
  3. All violet mushrooms are poisonous
  4. Violet mushrooms are not poisonous
  

Question 78 :
Which approach is most suited to complex problems with significant uncertainty, a need for experimentation, and time compression?

  1. Simulation
  2. human intuition
  3. Optimization
  4. genetic algorithms
  

Question 79 :
∃x ∃y admires(x,y)

  1. Every one admires some one
  2. Some one admires every one
  3. Some one admires some one
  4. Every one admire every one
  

Question 80 :
It contains fuzzy IF-THEN rules.

  1. fuzzification unit
  2. Decision-making Unit
  3. Rule base
  4. data base
  

Question 81 :
In NLP ______ includes breaking of chunks of language input into sets of tokens corresponding to paragraphs, sentences and words.

  1. Morphological Processing
  2. Symantic Analysis
  3. Pragmatic Analysis
  4. Discourse Integration
  

Question 82 :
Classification and Regression are the examples of ............learning

  1. Supervised
  2. Unsupervised
  3. dependent
  4. Specialized
  

Question 83 :
FOPL and Proposition Logic are examples of ______ language

  1. High Level Language
  2. Low Level Language
  3. Natural Language
  4. Knowledge representation language
  

Question 84 :
Any soft‐computing methodology is characterized with

  1. precise solutions
  2. control actions are unambiguous and accurate
  3. Control action is formally defined
  4. algorithm which can easily adapt with the change of dynamic environment
  

Question 85 :
Which environment is called as semi dynamic?

  1. Environment does not change with the passage of time
  2. Agent performance changes
  3. Environment will be changed
  4. Agent performance does not change
  

Question 86 :
Which of the following is the correct definition of 'an aunt' in FOL? Here, Aunt(x,y) is read as x is an aunt of y and Sister(x,y) is read as x is a sister of y.

  1. ∀x ∀y (Aunt(x,y) __> ∀z (Sister(z, x) v Parent(z, y)))
  2. ∀x ∀y (Aunt(x,y) __> ∃z (Sister(z,x) ∧ Parent(z,y)))
  3. ∀x ∀y (Aunt(x,y) __> ∃z (Sister(x,z) ∧ Parent(z,y)))
  4. ∀x ∀y (Aunt(x,y) __> ∃z (Sister(x,z) __> Parent(z,y)))
  

Question 87 :
Rules are expressed as a set of?

  1. Switch statement
  2. Using Loop
  3. if-then statements
  4. Using continue statement
  

Question 88 :
What is TRUE for linear activation functions.

  1. Weights and biases of neural network with linear activation function will not get updated during backpropogation.
  2. The network with linear activation function will not be able to learn complex patterns in data.
  3. They can be used only for binary classifier
  4. The derivative of linear activation function is zero.
  

Question 89 :
_____ fuzzy membership function is defined by a lower limit 'a', an upper limit 'b', and a value 'm', where a < m < b

  1. Trapozoidal
  2. Triangular
  3. Sigmoidal
  4. Increasing
  

Question 90 :
The suitable task environment for Fighter plane simulator agent is___

  1. Fully Observable
  2. Deterministic
  3. Dynamic
  4. Episodic
  
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