____________ 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.
a) Static CSPs
b) Dynamic CSPs
c) Flexible CSPs
d) None of the above
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What is computer vision?
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
The Task Environment of an agent consists of a) Sensors b) Actuators c) Performance Measures d) Environment
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
Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned
What is 'human-robot interaction'?
What is fopl stands for and explain its role in artificial intelligence?
Why do we implement ai in the robots?
What are industrial robots? Explain the various types of industrial robots?
The main task of a problem-solving agent is a) Solve the given problem and reach to goal b) To find out which sequence of action will get it to the goal state c) Both a) and b) d) Neither a) nor b)
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 characteristics of ai expert systems?
In hidden markov model, how does the state of the process is described?
Differentiate between the iqbot, metabot and a taskbot?
What are applications of expert system?