A problem in a search space Is defined by,
a) Initial state
b) Goal test
c) Intermediate states
d) All of the above
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Hill-Climbing approach stuck for the following reasons a) Local maxima b) Ridges c) Plateaux d) All of above
Which environment is called as semidynamic? a) Environment does not change with the passage of time b) Agent performance changes c) Environment will be changed d) Both a & b
Artificial Intelligence has its expansion in the following application. (Mark all that apply) a) Planning and Scheduling b) Game Playing c) Diagnosis d) Robotics e) All of the above
Which functions are used as preferences over state history? a) Award b) Reward c) Explicit d) Implicit
What are benefits of expert systems?
How many types of agents are there in artificial intelligence? a) 1 b) 2 c) 3 d) 4
Which of the following algorithm is online search algorithm? a) Breadth-first search algorithm b) Depth-first search algorithm c) Hill-climbing search algorithm d) None of the mentioned
What are the axes of movement of the robot?
How the new states are generated in genetic algorithm? a) Composition b) Mutation c) Cross-over d) Both b & c
Performance Measures are fixed for all agents. State true or false a) True b) False
Why do we implement ai in the robots?
Which technology uses miniaturized accelerometers and gyroscopes? a) Sensors b) Actuators c) MEMS d) None of the mentioned
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