What are some of the benefits of using a blue prism for robotics?

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For building a bayes model how many terms are required?

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Which functions are used as preferences over state history? a) Award b) Reward c) Explicit d) Implicit

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One of the main cons of hill-climbing search is, a) Terminates at local optimum b) Terminates at global optimum c) Does not find optimum solution d) Fail to find a solution

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Which is used to select the particular environment to run the agent? a) Environment creator b) Environment Generator c) Both a & b d) None of the mentioned

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What is prolog in ai?

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The Task Environment of an agent consists of a) Sensors b) Actuators c) Performance Measures d) Environment

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What is fopl stands for and explain its role in artificial intelligence?

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 Which were built in such a way that humans had to supply the inputs and interpret the outputs? a) Agents b) AI system c) Sensor d) Actuators

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What is the heuristic function of greedy best-first search? a) f(n) != h(n) b) f(n) < h(n) c) f(n) = h(n) d) f(n) > h(n)

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. What is state space? a) The whole problem b) Your Definition to a problem c) Problem you design d) Representing your problem with variable and parameter

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A solution to a problem is a path from the initial state to a goal state. Solution quality is measured by the path cost function, and an optimal solution has the highest path cost among all solutions. State whether true or false. a) True b) False

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