Hill-Climbing approach stuck for the following reasons a) Local maxima b) Ridges c) Plateaux d) All of above

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In which state spaces does the online-dfs-agent will work? a) Irreversible state spaces b) Reversible state spaces c) searchable state spaces d) All of the mentioned

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Agents behavior can be best described by a) Perception sequence b) Agent function c) Sensors and Actuators d) Environment in which agent is performing

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Name the basic unit of a robot which can be programmed to give instructions to the robot?

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Which technology uses miniaturized accelerometers and gyroscopes? a) Sensors b) Actuators c) MEMS (MicroElectroMechanical System) d) None of the mentioned

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_________________ are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations. a) Constraints Satisfaction Problems b) Uninformed Search Problems c) Local Search Problems d) Only a) and b)

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In top-down inductive learning methods how many literals are available? What are they?

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In hidden markov model, how does the state of the process is described?

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Which is used to compressed gasses to drive (power) the robot ?

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What is a robot?

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Which agent enables the deliberation about the computational entities and actions? a) Hybrid b) Reflective c) Relational d) None of the mentioned

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Which agent enables the deliberation about the computational entities and actions? a) Hybrid b) Reflective c) Relational d) None of the mentioned

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