Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move.
a) True
b) False


No Answer is Posted For this Question
Be the First to Post Answer

Post New Answer

More AI Robotics Interview Questions

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

0 Answers  


What is not represented by using propositional logic? a) Objects b) Relations c) Both a & b d) None of the mentioned

0 Answers  


What does the language of fopl consists of?

0 Answers  


What is the purpose of intelligence?

0 Answers  


Which method is used to search better by learning? a) Best-first search b) Depth-first search c) Metalevel state space d) None of the mentioned

0 Answers  






Performance Measures are fixed for all agents. State true or false a) True b) False

1 Answers  


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

0 Answers  


What is augmented human intelligence?

0 Answers  


What are various types of sensors used in the robotics?

0 Answers  


 What is meant by simulated annealing in artifical intelligence? a) Returns an optimal solution when there is a proper cooling schedule b) Returns an optimal solution when there is no proper cooling schedule c) It will not return an optimal solution when there is a proper cooling schedule d) None of the mentioned

0 Answers  


___________ algorithm keeps track of k states rather than just one. a) Hill-Climbing search b) Local Beam search c) Stochastic hill-climbing search d) Random restart hill-climbing search

0 Answers  


Which is not the commonly used programming language for AI? a) PROLOG b) Java c) LISP d) Perl e) Java script

1 Answers  


Categories