100% accurate
Estimated values
Wrong values
None of the above
B. Estimated values
Knowledge Level
Logical Level
Implementation Level
Can't be determined
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii.
i. v. ii. iv. iii.
i. ii. iii. iv. v.
ii. i. v. iv. iii.
None of the above
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
Deterministic and non- Deterministic
Observable and partially-observable
Static and dynamic
All of the above
Movement and Humanly Actions
Perceiving and acting on the environment
Input and Output
None of the above
Probability
Inference
Heuristic Search
All of the above
Knowledge Level
Logical Level
Implementation Level
Can't be determined
For all
For each
For every
All of the above
2 types
3 types
4 types
None 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
By perceiving the environment through sensors
By human's sensory organs
Both 1) and 2)
None of the above
Encryption Problem
Constraint Satisfactory Problem
Number problem
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
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
Predicate and a subject
Predicate and a Preposition
Subject and an object
None of the above
100% accurate
Estimated values
Wrong values
None of the above
Only valid data
Only invalid data
Both valid and invalid data
None of the above
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
Reverend Thomas Bayes
Stuart Bayes Hamilton
Bayes Canney
None of the above.
Documentation for an AI agent
Production rules for an AI agent
Pseudo Code for an AI agent
None of the above
Quantifiers are numbers ranging from 0-9.
Quantifiers are the quantity defining terms which are used with the predicates.
Quantifiers quantize the term between 0 and 1.
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
In propositional Logic, each sentence is a declarative sentence
In propositional logic, the sentence can have answers other than True or False
Propositional Logic is a type of knowledge representation in AI
None of the above
Estimation
Likelihood
Observations
All of the above
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
Between 0 to 1 (Both inclusive)
Between 0 to 1 (Both exclusive)
Between -1 to +1
None of the above
It provides solution in a reasonable time frame
It provides the reasonably accurate direction to a goal
It considers both actual costs that it took to reach the current state and approximate cost it would take to reach the goal from the current state
All of the above
Only iv.
All i., ii., iii. and iv.
ii. and iv.
None of the above
Simple based Reflex agent
Model Based Reflex Agent
Goal Based Agent
All of the above