Using how many levels can a knowledge-based agent be defined?
3 levels
2 levels
4 levels
None of the above
Correct Answer :
A. 3 levels
The knowledge-based agent can be described using three levels. These are,
Related Questions
The results that we get after we apply probabilistic reasoning to a problem are,
100% accurate
Estimated values
Wrong values
None of the above
Fuzzy Logic is a convenient way of representing which of the following situations?
Partially True and Partially False
Completely True and Completely False
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 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
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
How many types of learning are there for an AI system?
2 types
3 types
4 types
None of the above
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
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.
What is the major problem for AI systems while solving the real world problems?
Uncertainty in Environment
Poor battery life of the system
Improper training time
All of the above
What do the Constraints refer to in a CSP (Constraint Satisfactory problem)?
Restrictions
Rules
Regulations
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
Which of the following mentioned searches are heuristic searches?
a) Random Search
b) Depth First Search
c) Breadth First Search
d) Best First Search
Options:
Only iv.
All i., ii., iii. and iv.
ii. and iv.
None of the above
Which among the following does fuzzy logic refer to the most?
Probability
Inference
Heuristic Search
All of the above
Consider the following statement:While solving a CSP (Constraint Satisfactory Problem), the agent cannot violate any of the rules and regulations or disobey the restrictions mentioned as the constraints.Which of the following problems do not fall under the category of CSP?
N- Queens Problem
Chess
Sudoku
None of the above
Which of the mentioned rules are valid Inference rules?
Modus Ponens
Resolution
Backward Chaining
All of the above
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.
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.
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
What is the minimum Certainty factor which decided whether the value is true or false?
0
-1
+1
Is decided in prior to every problem
Which if the following are valid inference rules that are used in Inference?
a) Addition
b) Subtraction
c) Multiplication
d) Division
Options:
Only i.
i. and iii.
ii. and iii.
iii. and iv.
Which of the levels in a knowledge-based agent is the most abstract level?
Knowledge Level
Logical Level
Implementation Level
Can't be determined
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 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
On which of the mentioned points does the Probabilistic Reasoning depend?
Estimation
Likelihood
Observations
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
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
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
Which of the mentioned options are a part of 'planning' while solving a problem by an AI agent?
Deciding which data Structure to choose
Forming the control strategy
Inferring for similar problems in the knowledge base
All of the above
Bayesian Theorem was named after its inventor. Who invented the Bayesian theorem?
Reverend Thomas Bayes
Stuart Bayes Hamilton
Bayes Canney
None of the above.
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.