Which method is effective for escaping from local minima?
a) Updating heuristic estimate
b) Reducing heuristic estimate
c) Eliminating heuristic estimate
d) None of the mentioned
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Though local search algorithms are not systematic, key advantages would include a) Less memory b) More time c) Finds a solution in large infinite space d) No optimum solution
What is the action of task environment in artificial intelligence? a) Problem b) Solution c) Agent
A problem solving approach works well for a) 8-Puzzle problem b) 8-queen problem c) Finding a optimal path from a given source to a destination d) Mars Hover (Robot Navigation)
What is the purpose of intelligence?
What is user interface?
Which technology uses miniaturized accelerometers and gyroscopes? a) Sensors b) Actuators c) MEMS (MicroElectroMechanical System) d) None of the mentioned
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
Hill-Climbing algorithm terminates when, a) Stopping criterion met b) Global Min/Max is achieved c) No neighbor has higher value d) Local Min/Max is achieved
Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned
What is a difference in robot system and ai programs?
Differentiate between the iqbot, metabot and a taskbot?
Which technology uses miniaturized accelerometers and gyroscopes? a) Sensors b) Actuators c) MEMS d) None of the mentioned
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