Saturday, 5 December 2020

CS607-Artificial Intelligence Quiz MCQs Lecture 1-22 Midterm Objective Questions | SUPERSTARWEBTECH



CS607-Artificial Intelligence Quiz MCQS #Objective #Questions #MidTerm

1. In ___ search(es), we only have one agent searching solution space to find goal state
  • Depth first search
  • Breadth first search
  • Progressive search
  • All of the given ✔
2. Solving 32-bit computer words using genetic algorithm we want a string in which all the bits are ones. We count the 1 bits in each word and exit if any of the words having all 32 bits set to 1 by using ___
  • initial population
  • evaluation function ✔
  • mutation
  • search space
3. The initial state and the legal moves for each side define the ___ for the game
  • search tree ✔
  • game tree
  • state-space search
  • forest
4. Which of the following are the main phrases of the linear sequence?
  • Code
  • System evaluation
  • Planning
  • All of the above ✔
5. ___ is used when the facts of the case are likely to change after some time.
  • Inductive reasoning
  • Non-Monotonic reasoning ✔
  • Analogical reasoning
  • Common-sense reasoning
6. Which of the following is NOT one of the drawbacks of depth first search?
  • Can run forever in search spaces with infinite length paths
  • Does not guarantee finding the shallowest goal
  • Requires the tree to be a complete tree
  • Cut-off depth is similar so time complexity is more ✔
7. In eight queen problem for the given sequence 1 6 5 3 2 5 3 7 the position of Q4 queen is at ___
  • fourth column and third row ✔
  • second column and third row
  • first column and third row
  • eight column and second
8. In ___ we may have multiple agents searching for solution in the same solution space
  • Adversarial search ✔
  • Depth first search
  • Breadth first search
  • Progressive deepening
9. Which of the following is/are considered being trait(s) of an expert?
  • They possess specialized knowledge in a certain area
  • They possess experience in the given area
  • They can provide, upon elicitation, an explanation of their decisions
  • All of the given ✔
10. In CLIPS, the Defrule construct is used to add ___
  • rules ✔ 
  • facts
  • principles
  • All of the above
11. Every graph can be converted into a tree
  • True ✔
  • False
12. Reasoning in backward chaining is known as:
  • Data-driven reasoning
  • Rule-driven reasoning 
  • Intelligence-driven reasoning
  • Goal-driven reasoning ✔
13. The simple idea behind ___ is that if we can reach a specific node through more than one different paths then we shall take the path with the minimum cost
  • Dynamic programming ✔
  • Estimates
  • Progressive deepening
  • Beam search
14. The problem is to place 8 queens on a chess board by using genetic algorithm, so that none of them can attack the other. A chess board can be considered as a plain board with ___ columns and ___ rows
  • eight, six
  • eight, seven
  • eight, eight ✔
  • eight, nine
15. Progressive deepening emulates BFS using DFS
  • True ✔
  • False
16. Genetic algorithms use ___
  • parallel approach ✔
  • sequential approach
  • pipelining
  • all of the mentioned
17. Expert system technique where a hypothesis is given at the beginning and the inference engine proceeds to ask the user questions about selected facts until the hypothesis is either confirmed or denied
  • Network Knowledge ✔
  • Data mining
  • Backward chaining
  • Forward chaining
18. The component of the system that performs inference is called:
  • inference engine ✔
  • inference object
  • inference manager
  • inference class
19. LISP was created by?
  • Alan Turing
  • Marvin Minsky
  • John McCarthy ✔
  • Allen Newell and Herbert Simon
20. To which depth does the alpha-beta pruning can be applied?
  • 10 states
  • 8 states
  • 6 states
  • Any depth ✔
21. "Specialized knowledge" in human experts is referred to as ___ when it comes to an expert system
  • Affirmation knowledge
  • Domain knowledge ✔
  • Reasoning knowledge
  • Predicate engine
22. A natural language generation program must decide ___
  • what to say
  • when to say something
  • why it is being used
  • both what to say & when to say something ✔
23. ___ combine predicates and quantifiers to represent information
  • Objects
  • Subjects
  • Formulae ✔
  • Constants
24. In CNF(Conjunctive normal form) the outermost structure is made up of ___ and inner units called clauses are made up of ___
  • conjunctions, disjunctions ✔
  • disjunctions, conjunctions
  • resolution, refutation
  • refutation, resolution
25. The formulae (∃x)(Person(x) ∧ father(x, Ahmed) ) can be translated in simple words and read as
  • there exists some person, x who is Ahmed's father✔
  • for all person, x who is Ahmed's father
  • there exists some person, x who is Ahmed's daughter
  • for all person, x who is Ahmed's daughter
26. Adversarial search problems uses ___
  • competitive environment
  • cooperative environment ✔
  • neither competitive nor cooperative environment
  • an only competitive and cooperative environment
27. Which of the following command is correct for adding numbers in CLIPS?
  • CLIPS> (3+4)
  • CLIPS> (+ 3 4) ✔
  • CLIPS> (3 4 +)
  • CLIPS> (+ 3 4 +)
28. A fact or proposition is divided into two parts and are represented as ___
  • object and logic ✔
  • predicate and argument
  • reasoning and variable
  • algebra and calculus
29. ___ describes objects, rather than processes. That is known about a situation, e.g. it is sunny today, and cherries are red
  • Procedural knowledge
  • Declarative knowledge ✔
  • Meta knowledge
  • Heuristic knowledge
30. ___ are able to override the normal rules in expert systems
  • Meta rules
  • Conflict resolution rules 
  • Forward chain rules ✔
  • Backward chain rules