i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
C. ii. and iii.
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
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
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii.
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
Deterministic and non- Deterministic
Observable and partially-observable
Static and dynamic
Left sided and right sided
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
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
Partially True and Partially False
Completely True and Completely False
Both 1) and 2)
None of the above
Perceiving data from the environment
Adapting to the environment and situations
Acting upon the Environment
Reversing the previously performed actions
Movement and Humanly Actions
Perceiving and acting on the environment
Input and Output
None of the above
Partially observable environment
Dynamic nature of the environment
Inaccessible area in the environment
All of the above
Uncertainty in Environment
Poor battery life of the system
Improper training time
All of the above
For all
For each
For every
All 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
Half true Half False
Somewhat true but not entirely false
Agent has no information about the event
Both a. and b.
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
Probability
Inference
Heuristic Search
All of the above
Top-down approach
Bottom-up approach
No specific approach
According to precedence
Deciding which data Structure to choose
Forming the control strategy
Inferring for similar problems in the knowledge base
All of the above
Thinking humanly
Adapting to the environment and situations
To rule over humans
Real Life Problem Solving
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
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
Encryption Problem
Constraint Satisfactory Problem
Number problem
All of the above
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii.
i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
Reverend Thomas Bayes
Stuart Bayes Hamilton
Bayes Canney
None of the above.
N- Queens Problem
Chess
Sudoku
None of the above
The certainty factor is same as the probability of any event
The Certainty Factor (CF) is a numeric value that tells us about how likely an event or a statement is supposed to be true
The Certainty Factor (CF) is a numeric value that tells us about how certain we are about performing a particular task
None of the above