Agents:
The performance of an agent can be improved by…………..
a) Learning
b) Observing
c) Perceiving
d) None of these
Explanation: An agent can improve by saving the previous states on which it was earlier, hence in future it can learn to respond in the same situation better.
External actions of the agent is selected by……
a) Perceive
b) Performance
c) Learning
d) Actuator
Explanation: It depends on how you want to improve and what the performance measures are.
The action of the Simple reflex agent completely depends upon…………..
a) Perception history
b) Current perception
c) Learning theory
d) Utility functions
Explanation: These agents select actions based on the current perception, ignoring the rest of the perception history.
Which
of the following could be the approaches to Artificial Intelligence?
a) Strong Artificial Intelligence
b) Weak Artificial Intelligence
c) Applied Artificial Intelligence
d) All of the mentioned
Explanation: Strong Artificial Intelligence aims to build machines that can truly reason and solve problems.
Weak Artificial Intelligence deals with the creation of some form of computer-based artificial intelligence that cannot truly reason and solve problems, but can act as if it were intelligent.
Applied Artificial Intelligence aims to produce commercially viable “smart” systems.
In the Cognitive Artificial Intelligence approach, a computer is used to test theories about how the human mind works.
An Artificial Neural Network Is based on?
a) Strong Artificial Intelligence approach
b) Weak Artificial Intelligence approach
c) Cognitive Artificial Intelligence approach
d) Applied Artificial Intelligence approach
Explanation: In the Cognitive Artificial Intelligence approach, a computer is used to test theories about how the human mind works, for example, theories about how we recognize faces and other objects, or about how we solve abstract problems.
