AI based agents
Humans
Animals
None of the above
B. Humans
Probability
Inference
Heuristic Search
All of the above
i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii.
Uncertainty in Environment
Poor battery life of the system
Improper training time
All of the above
100% accurate
Estimated values
Wrong values
None of the above
Discrete or Continuous
Observable and partially-observable
Static and dynamic
None of the above
Knowledge gathering strategy
Final step of solving the AI problem, which is applying the strategies
State space deciding
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
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.
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
Only valid data
Only invalid data
Both valid and invalid data
None of the above
i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
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.
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
Knowledge Level
Logical Level
Implementation Level
Can't be determined
Knowledge Level
Logical Level
Implementation Level
Can't be determined
i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
Simple based Reflex agent
Model Based Reflex Agent
Goal Based Agent
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
Thinking humanly
Adapting to the environment and situations
To rule over humans
Real Life Problem Solving
Only i.
i. and iii.
ii. and iii.
iii. and iv.
Thinking
Eating
Sleeping
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
Deciding which data Structure to choose
Forming the control strategy
Inferring for similar problems in the knowledge base
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
Only iv.
All i., ii., iii. and iv.
ii. and iv.
Only ii.
Machine Learning
Deep Learning
Both (1) and (2)
None of the above
Restrictions
Rules
Regulations
All of the above
Simple based reflex agent
Model based reflex agent
Goal based agent
Utility based agent