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What is the evaluation function in greedy approach?
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Nov 1, 2021
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Artificial Intelligence
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DavidAnderson
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What is the space complexity of Greedy search?
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Nov 1, 2021
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What is the evaluation function in A* approach?
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In many problems the path to goal is irrelevant, this class of problems can be solved using ____________
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Though local search algorithms are not systematic, key advantages would include __________
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A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum.
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_______________ Is an algorithm, a loop that continually moves in the direction of increasing value – that is uphill.
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When will Hill-Climbing algorithm terminate?
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What are the main cons of hill-climbing search?
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Nov 1, 2021
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DavidAnderson
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Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move.
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Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next.
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Hill-Climbing approach stuck for which of the following reasons?
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___________ algorithm keeps track of k states rather than just one.
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A genetic algorithm (or GA) is a variant of stochastic beam search in which successor states are generated by combining two parent states, rather than by modifying a single state.
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Nov 1, 2021
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What are the two main features of Genetic Algorithm?
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_________________ are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations.
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Which of the Following problems can be modeled as CSP?
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Nov 1, 2021
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What among the following constitutes to the incremental formulation of CSP?
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The term ___________ is used for a depth-first search that chooses values for one variable at a time and returns when a variable has no legal values left to assign.
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To overcome the need to backtrack in constraint satisfaction problem can be eliminated by ____________
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Nov 1, 2021
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Consider a problem of preparing a schedule for a class of student. What type of problem is this?
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Nov 1, 2021
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Constraint satisfaction problems on finite domains are typically solved using a form of ___________
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Nov 1, 2021
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Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size.
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____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment.
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Nov 1, 2021
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Flexible CSPs relax on _______
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Language/Languages used for programming Constraint Programming includes ____________
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Backtracking is based on ____________
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Nov 1, 2021
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Constraint Propagation technique actually modifies the CSP problem.
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When do we call the states are safely explored?
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General games involves ____________
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