How does the agent learn through its surroundings?
By perceiving the environment through sensors
By human's sensory organs
Both 1) and 2)
None of the above
Correct Answer :
A. By perceiving the environment through sensors
The agent implements the learning part from its surroundings through its sensors, like the camera, audio input devices, temperature sensors etc.
Related Questions
Which of the following mentioned problems are CSP (Constraint Satisfactory Problems)?
a) N queens Problem
b) Crypt- arithmetic problem
c) Map coloring problem
d) Sudoku
Options:
Only iv.
All i., ii., iii. and iv.
ii. and iv.
None of the above
The Maintenance system in the Truth maintenance method stores what?
Only valid data
Only invalid data
Both valid and invalid data
None of the above
Which of the mentioned properties of heuristic search differentiates it from other searches?
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
Consider the following statement,After all the gathering of knowledge and planning the strategies, the knowledge should be applied and the plans should be executed systematically to reach the goal state most efficiently and fruitfully.What does the above definition refer to?
Knowledge gathering strategy
Final step of solving the AI problem, which is applying the strategies
State space deciding
None of the above
On which of the mentioned points does the Probabilistic Reasoning depend?
Estimation
Likelihood
Observations
All of the above
Which of the mentioned point correctly defines a quantifier in AI?
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
Provide the answer for the following Cryptarithmetic problem:SEND MORE MONEY
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 AI systems, Logic can be represented in two types. What are these two types?
a) Inductive Logic
b) Common Logic
c) Deductive Logic
d) Machine Logic
Options:
i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
Consider the following statement:While taking any decision, the agent must provide specific reasons based on which the decision was taken. And this reasoning can be done by the agent only if the agent has the capability of understanding the logic.Among which of the following situations will the agent use and apply logic for solving the problem?
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
Which of the levels in a knowledge-based agent is the most abstract level?
Knowledge Level
Logical Level
Implementation Level
Can't be determined
The Certainty Factor (CF) is a numeric value which tells us about how likely an event or a statement is supposed to be true.What is the range of this numeric value, i.e. Certainty Factor?
Between 0 to 1 (Both inclusive)
Between 0 to 1 (Both exclusive)
Between -1 to +1
None of the above
Which of the following correctly defines the use of probabilistic reasoning in AI systems?
In situations of uncertainty, probabilistic theory can help us give an estimate of how much an event is likely to occur or happen.
It helps to find the probability whether the agent should do the task or not.
It does not help at all.
None of the above.
Consider the following statement:The knowledge-based agent can be described using three levels. These are: Knowledge level, Logical level, and Implementation levelIn which of these levels, is the raw and discrete information encoded into sentences?
Knowledge Level
Logical Level
Implementation Level
Can't be determined
In AI systems, Knowledge can be represented in two ways. What are these two ways?
a) Machine Logic
b) Predicate Logic
c) Propositional Logic
d) Compound Logic
Options:
i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
Which of the following are comprised within AI?
Machine Learning
Deep Learning
Both (1) and (2)
None of the above
In AI, the Logic is classified into two types: deductive and inductive. Which of the following approaches is followed up by the Inductive logic?
Top-down approach
Bottom-up approach
No specific approach
According to precedence
How many types of quantifiers are there that are used to represent knowledge?
3 types
2 types
User can define as many quantifiers he wants
None of the above
Which among the following does fuzzy logic refer to the most?
Probability
Inference
Heuristic Search
All of the above
There are two types of quantifiers used to quantify the statement in the knowledge representation in AI. What are these two types of quantifiers?
a) Universal Quantifiers
b) Subjective Quantifiers
c) Existential Quantifiers
d) Selective Quantifiers
Options:
i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
The main Aim of the AI system is to provide a solution for real-life problems by acting and thinking humanly. Whenever an agent is confronted by a problem, what is the first step that it follows towards searching a solution to the problem?
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
Which of the following classifications of the environment are valid?
Deterministic and non- Deterministic
Observable and partially-observable
Static and dynamic
All of the above
There are various knowledge-based agent levels in AI. What are these levels?
a) Knowledge Level
b) Logical Level
c) Common Sense Level
d) Implementation Level
Options:
i. and ii.
i., ii. and iii.
ii. and iii.
iii. and iv.
Consider the following statement:The knowledge-based agent can be described using three levels. These are: Knowledge level, Logical level, and Implementation levelWhich of the following layers deals with the physical representation of the sentences?
Knowledge Level
Logical Level
Implementation Level
Can't be determined
How many types of learning are there for an AI system?
2 types
3 types
4 types
None of the above
On which of the mentioned points is the Bayesian theorem reasonable to apply?
Dependent Events
Independent Events
Neither a. nor b.
Both a. and b.
Which of the following statements correctly define knowledge representation in AI?
It is the way in which facts and information are stored in the storage system of the agent
It is the way in which we feed the knowledge in machine understandable form
We modify the knowledge and convert it into the format which is acceptable by the machine
All of the above
How does the agent learn through its surroundings?
By perceiving the environment through sensors
By human's sensory organs
Both 1) and 2)
None of the above
The Maintenance system in the Truth maintenance method stores what?
Only valid data
Only invalid data
Both valid and invalid data
None of the above
Which of the following statements define the certainty factor accurately?
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
What do the Constraints refer to in a CSP (Constraint Satisfactory problem)?
Restrictions
Rules
Regulations
All of the above