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Artificial Intelligence

Ultimate X 8 questions

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Questions in this quiz (8)

  1. 1Which instruments are used by agents for perceiving and acting upon the environment?
    1. ASensors and Actuators
    2. BSensors
    3. CPerceiver
    4. DNone of the mentioned
  2. 2In general, which of the following environments is the least challenging for agents?
    1. Afully observable, discrete, sequential, static, deterministic, single agent
    2. Bfully observable, discrete, episodic, static, deterministic, single-agent
    3. Cfully observable, discrete, non-episodic, dynamic, multi-agent
    4. Dpartially observable, discrete, non-episodic, dynamic, multi-agent
  3. 3The main task(s) of a goal-based agent is/are:
    1. ATo solve the given problem and reach to goal
    2. BTo find out which sequence of actions will get it to the goal state
    3. CBoth A. and B.
    4. DNeither A. nor B.
  4. 4What is a state space of a problem?
    1. AThe whole problem
    2. BYour definition to a problem
    3. CThe problem you design
    4. DA set of all possible states for a given problem
    5. EA space where you know the solution
  5. 5Which graph search method from the following is guranteed to output optimal solutions?
    1. ADepth First Search
    2. BBreadth First Search
    3. CGreedy best first search (with an admissible heuristic)
    4. Dnone of the above listed
  6. 6Which search strategy is simulated by the A* search algorithm if we take h(n) = 0 if one assumes no further restrictions on the cost function g?
    1. ADepth First Search
    2. BGreedy Best First Search
    3. CUniform Cost Search
    4. DNone of the Above.
  7. 7A search algorithm is complete if it
    1. Aalways finds the optimal solution
    2. Balways finds a solution if there is one
    3. Cfinds all possible solutions
    4. Dnever finds a solution
  8. 8What is the difference between the cost function and heuristic function portions of the A* evaluation function?
    1. AA cost function returns the actual cost from current node to goal, while the heuristic function returns the estimated cost from current node to goal
    2. BA cost function returns the estimated cost from start node to current node, while the heuristic function returns the estimated cost from current node to goal
    3. CA cost function returns the estimated cost from current node to goal, while the heuristic function returns the actual cost from start node to current node
    4. DA cost function returns the actual cost from start node to current node, while the heuristic function returns the estimated cost from current node to goal.

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