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.
C. Conditional Probability has no effect or relevance or independent events.
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.
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii.
It is the way in which facts and information are stored in the storage system of the agent
When we conclude the facts and figures to reach a particular decision, that is called inference
We modify the knowledge and convert it into the format which is acceptable by the machine
All of the above.
100% accurate
Estimated values
Wrong values
None of the above
Partially True and Partially False
Completely True and Completely False
Both 1) and 2)
None of the above
Dependent Events
Independent Events
Neither a. nor b.
Both a. and b.
Knowledge Level
Logical Level
Implementation Level
Can't be determined
Machine Learning
Deep Learning
Both (1) and (2)
None of the above
Constraints are a set of restrictions and regulations
While solving a CSP, the agent cannot violate any of the rules and regulations or disobey the restrictions mentioned as the constraints
It also focuses on reaching to the goal state
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
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii.
Searching for relevant data in the surroundings
Searching into its own knowledge base for solutions
Seeking for human inputs for approaching towards the solution
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
Constraints should be taken care of while solving the problem
The text is converted from readable format to non-readable format
If numbers are not sufficient, we can use special symbols like $#@% to encrypt the text
None of the above
Fuzzy Logic (FL) is a method by which any expert system or any agent based on Artificial Intelligence performs reasoning under uncertain conditions.
In this method, the reasoning is done in almost the same way as it is done in humans.
In this method, all the possibilities between 0 and 1 are drawn.
All of the above
Only iv.
All i., ii., iii. and iv.
ii. and iv.
None of the above
i. v. ii. iv. iii.
i. ii. iii. iv. v.
ii. i. v. iv. iii.
None of the above
Simple based Reflex agent
Model Based Reflex Agent
Goal Based Agent
All of the above
Modus Ponens
Resolution
Backward Chaining
All of the above
i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
Perceiving data from the environment
Adapting to the environment and situations
Acting upon the Environment
Reversing the previously performed actions
Only valid data
Only invalid data
Both valid and invalid data
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
Sky and Land
Agent and environment
Yes or No
None of the above
For all
For some
For every
All of the above
Uncertainty in Environment
Poor battery life of the system
Improper training time
All of the above
Dependent Events
Independent Events
Neither a. nor b.
Both a. and b.
In deductive logic, the complete evidence is provided about the truth of the conclusion made
A top-down approach is followed
The agent uses specific and accurate premises that lead to a specific conclusion
All of the above
Estimation
Likelihood
Observations
All of the above
100% accurate
Estimated values
Wrong values
None of the above