Estimation
Likelihood
Observations
All of the above
D. All of the above
Probability
Inference
Heuristic Search
All of the above
Knowledge Level
Logical Level
Implementation Level
Can't be determined
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii.
Forward Chaining
Backward Chaining
Both a. and b.
None of the above
For all
For each
For every
All of the above
To solve real life problems
To play a game against a human in the same way as a human would do
To understand the environment variables
All of the above
To implement humanly behavior.
To deal with unknown environment.
To improve the reasoning capability of the agent.
All of the above
Only iv.
All i., ii., iii. and iv.
ii. and iv.
None of the above
Sky and Land
Agent and environment
Yes or No
None of the above
The Breadth First Search (BFS)
The Depth First Search (DFS)
The A* search
None of the above
Only valid data
Only invalid data
Both valid and invalid data
None of the above
So that the agent can have decision making capability
So that the agent can think and act humanly
So that the agent can apply the logic for finding the solution to any particular problem
All of the above
Deciding which data Structure to choose
Forming the control strategy
Inferring for similar problems in the knowledge base
All of the above
Dependent Events
Independent Events
Neither a. nor b.
Both a. and b.
3 levels
2 levels
4 levels
None of the above
Uncertainty arises when we are not 100 percent confident in our decisions
Whenever uncertainty arises, there is needs to be an estimation taken for getting to any conclusion
The AI agent should take certain decisions even in the situations of uncertainty
All of the above
Movement and Humanly Actions
Perceiving and acting on the environment
Input and Output
None of the above
An agent which needs user inputs for solving any problem
An agent which can solve any problem on its own without any human intervention
An agent which needs an exemplary similar problem defined in its knowledge base prior to the actual problem
All of the above
Conditional Probability gives 100% accurate results.
Conditional Probability can be applied to a single event.
Conditional Probability has no effect or relevance or independent events.
None of the above.
Thinking
Eating
Sleeping
None of the above
S=12; E=5; N=6; D=8; M=1; O=0; R=8; Y=2
S=9; E=5; N=6; D=7; M=1; O=0; R=8; Y=2
S=5; E=5; N=6; D=7; M=1; O=0; R=8; Y=2
S=9; E=5; N=9; D=7; M=1; O=0; R=8; Y=2
100% accurate
Estimated values
Wrong values
None of the above
Reaching the goal in minimal amount of time
Reaching the goal in minimal cost
Reaching the initial state again after reaching the goal state
None of the above
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii. and iv.
100% accurate
Estimated values
Wrong values
None of the above
Restrictions
Rules
Regulations
All of the above
0
-1
+1
Is decided in prior to every problem
A state space can be defined as the collection of all the problem states
A state space is a state which exists in environment which is in outer space
A state space is the total space available for the agent in the state
All of the above
Knowledge Level
Logical Level
Implementation Level
Can't be determined
When the agent moves from one place to another, then it is called the move of the agent
When the agent goes from one state to another, it is known as a move
Both (1) and (2)
None of the above