Which of the mentioned properties of the Utility-based AI agent differentiates it from the rest of the AI agents?
Responding and providing solution to the problem
Meeting the preference of the user
Meeting the goal
All of the above
Correct Answer :
B. Meeting the preference of the user
The utility-based agent focuses more on the utilities and preferences of the user to satisfy the users needs. This property of this agent differentiates it from the other types of AI agents.
Related Questions
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.
Which of the following mentioned statements are uncertain?
a) The number occurred on rolling a die.
b) What will the temperature tomorrow?
c) What card will be get on picking a card from a fair deck of 52 cards?
d) What output will we get on tossing a coin?
Options:
Only iv.
All i., ii., iii. and iv.
ii. and iv.
Only ii.
Which of the mentioned points are valid reasons for uncertainty in the nature?
Partially observable environment
Dynamic nature of the environment
Inaccessible area in the environment
All 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
Which of the following are comprised within AI?
Machine Learning
Deep Learning
Both (1) and (2)
None of the above
Which of the mentioned properties of the Utility-based AI agent differentiates it from the rest of the AI agents?
Responding and providing solution to the problem
Meeting the preference of the user
Meeting the goal
All of the above
Which of the mentioned Environment Classifications determine whether the environment variables are constant or keep changing?
Deterministic and non- Deterministic
Observable and partially-observable
Static and dynamic
All of the above
Which among the following does fuzzy logic refer to the most?
Probability
Inference
Heuristic Search
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
How many types of learning are there for an AI system?
2 types
3 types
4 types
None of the above
Which of the mentioned point are not valid with respect to a Cryptarithmetic problem?
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
The results that we get after we apply Bayesian Theorem to a problem are,
100% accurate
Estimated values
Wrong values
None of the above
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 of the following definitions correctly defines the State-space in an AI system?
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
Consider the following statement:The value of the Certainty factor lies between -1.0 to +1.0, where the negative 1.0 value suggests that the statement can never be true in any situation, and the positive 1.0 value defines that the statement can never be false.What does the value 0 denote for CF?
Half true Half False
Somewhat true but not entirely false
Agent has no information about the event
Both a. and b.
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.
Among which of the following mentioned statements will the conditional probability be applied?
a) The number occurred on rolling a die one time.
b) What will the temperature tomorrow?
c) What card will get on picking a card from a fair deck of 52 cards?
d) What output will we get on tossing a coin once?
Options:
Only iv.
All i., ii., iii. and iv.
ii. and iv.
Only ii.
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 does not represent a valid environment type according to AI classification of environments?
Deterministic and non- Deterministic
Observable and partially-observable
Static and dynamic
Left sided and right sided
Which of the following is a valid AI agent type?
Simple based Reflex agent
Model Based Reflex Agent
Goal Based Agent
All of the above
Which of the following agents is the best in terms of AI?
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
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
Which among the following does fuzzy logic refer to the most?
Probability
Inference
Heuristic Search
All of the above
Which of the following mentioned statements are the valid reasons for implementing the learning part in the systems in AI?
To implement humanly behavior.
To deal with unknown environment.
To improve the reasoning capability of the agent.
All of the above
Which of the mentioned statements are true with respect to Fuzzy logic in AI?
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
Which of the mentioned definitions correctly define 'move' for an AI agent?
When the agent moves from one place to another, then it is called the move of the agent
When the agent goes from one state to another, it is known as a move
Both (1) and (2)
None of the above
In which of the following mentioned statements, probabilistic reasoning is applicable?
a) The number occurred on rolling a die.
b) What will the temperature tomorrow?
c) What card will get on picking a card from a fair deck of 52 cards?
d) What output will we get on tossing a coin?
Options:
Only iv.
All i., ii., iii. and iv.
ii. and iv.
Only ii.
Consider the following statement:The search first begins from the root node and the first one of the child nodes sub-tree is completely traversed. That is, first all the one-sided nodes are checked, and then the other sided nodes are checked.Which search algorithm is described in the above definition?
The Breadth First Search (BFS)
The Depth First Search (DFS)
The A* search
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
Consider the following statement:When we talk about perceiving information from the environment, then the main problem that arises is that there is always some uncertainty is our observations. This is because the world is an enormous entity and the surroundings that we take under study are not always well defined. So, there is needs to be an estimation taken for getting to any conclusion.Which among the following takes the best decisions in a situation with uncertainty?
AI based agents
Humans
Animals
None of the above