Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next.
a) Needy local search
b) Heuristic local search
c) Greedy local search
d) Optimal local search
_______________ Is an algorithm, a loop that continually moves in the direction of increasing value – that is uphill a) Up-Hill Search b) Hill-Climbing c) Hill algorithm d) Reverse-Down-Hill search
What can operate over the joint state space? a) Decision-making algorithm b) Learning algorithm c) Complex algorithm d) Both a & b
What are the axes of movement of the robot?
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
How the new states are generated in genetic algorithm? a) Composition b) Mutation c) Cross-over d) Both b & c
What among the following constitutes to the incremental formulation of CSP? a) Path cost b) Goal cost c) Successor function d) Objective function e) Initial state
How to send information from the robot sensors to the robot controllers?
Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned
The problem-solving agent with several immediate options of unknown value can decide what to do by just examining different possible sequences of actions that lead to states of known value, and then choosing the best sequence. This process of looking for such a sequence is called Search. State True or False a) True b) False
How logical inference can be solved in propositional logic?
What are some of the benefits of using a blue prism for robotics?
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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