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
D. All of the above
100% accurate
Estimated values
Wrong values
None of the above
N- Queens Problem
Chess
Sudoku
None of the above
Knowledge Level
Logical Level
Implementation Level
Can't be determined
Perceiving data from the environment
Adapting to the environment and situations
Acting upon the Environment
Reversing the previously performed actions
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
Machine Learning
Deep Learning
Both (1) and (2)
None of the above
100% accurate
Estimated values
Wrong values
None of the above
Personal Enhancement Area in Science
Performance, Environment, Actuators and Sensors
Performance, Entity, Area, State
None of the above
Simple based reflex agent
Model based reflex agent
Goal based agent
Utility based agent
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
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.
i. and ii.
i., ii. and iii.
ii. and iii.
iii. and iv.
Only iv.
All i., ii., iii. and iv.
ii. and iv.
None of the above
3 types
2 types
User can define as many quantifiers he wants
None of the above
Dependent Events
Independent Events
Neither a. nor b.
Both a. and b.
Only i.
i. and iii.
ii. and iii.
iii. and iv.
Simple based Reflex agent
Model Based Reflex Agent
Goal Based Agent
All of the above
Only iv.
All i., ii., iii. and iv.
ii. and iv.
None of the above
Encryption Problem
Constraint Satisfactory Problem
Number problem
All of the above
Modus Ponens
Resolution
Backward Chaining
All of the above
100% accurate
Estimated values
Wrong values
None of the above
Sensors and Actuators
Wheels and steering
Arms and legs
All of the above
AI based agents
Humans
Animals
None of the above
i. v. ii. iv. iii.
i. ii. iii. iv. v.
ii. i. v. iv. iii.
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
Deterministic and non- Deterministic
Observable and partially-observable
Static and dynamic
All of the above
i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
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
Deciding which data Structure to choose
Forming the control strategy
Inferring for similar problems in the knowledge base
All of the above