A problem in a search space Is defined by,
a) Initial state
b) Goal test
c) Intermediate states
d) All of the above
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___________ 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
Artificial Intelligence has its expansion in the following application. (Mark all that apply) a) Planning and Scheduling b) Game Playing c) Diagnosis d) Robotics e) All of the above
What are aspects of robotics?
How the new states are generated in genetic algorithm? a) Composition b) Mutation c) Cross-over d) Both b & c
In artificial intelligence, what do semantic analyses used for?
Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size. a) P complete b) NP complete c) NP hard d) Domain dependent
Though local search algorithms are not systematic, key advantages would include a) Less memory b) More time c) Finds a solution in large infinite space d) No optimum solution
What are the capabilities of expert systems?
How logical inference can be solved in propositional logic?
When do we call the states are safely explorable? a) A goal state is unreachable from any state b) A goal state is denied access c) A goal state is reachable from every state d) None of the mentioned
Mention the difference between statistical ai and classical ai ?
Why do we implement ai in the robots?