Which of the following is true with respect to uncertainty in AI systems?
Uncertainty arises when we are not 100 percent confident in our decisions
Whenever uncertainty arises, there is needs to be an estimation taken for getting to any conclusion
The AI agent should take certain decisions even in the situations of uncertainty
All of the above
Correct Answer :
D. All of the above
All the mentioned points are true and valid with respect to uncertainty in AI systems. Also, each point is very important while dealing with uncertainty in AI agents.
Related Questions
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.
Consider the following statement:The Cryptarithmetic problem in Artificial Intelligence is a type of encryption problem in which the written message in an alphabetical form which is easily readable and understandable is converted into a numeric form which is neither easily readable nor understandable.By reading the above statement, what are the places where this technique can be applied?
To share passwords
To encode number plates of vehicles
To encode their names by students while filling the answer sheet
None 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
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.
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
The results that we get after we apply probabilistic reasoning to a problem are,
100% accurate
Estimated values
Wrong values
None 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 following are a part of Fuzzy Logic System? Choose from the following options?
a) Knowledge base
b) Fuzzification Module
c) Inference Engine
d) Defuzzification Module
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii. and iv.
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
Among which of the following mentioned statements can the Bayesian probability be applied?
a) In the cases, where we have one event
b) In the cases, where we have two events
c) In the cases, where we have three events
d) In the cases, where we have more than three events
Options:
Only iv.
All i., ii., iii. and iv.
ii. and iv.
Only ii.
Consider the following statement:The Existential Quantifier is used at the places where only some part of the subject's population is to be defined under the predicate.By reading the above statement, what are the phrases for which the existential quantifier can be applied?
For all
For some
For every
All 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
Which of the following are comprised within AI?
Machine Learning
Deep Learning
Both (1) and (2)
None of the above
Which of the following is not a goal of AI?
Thinking humanly
Adapting to the environment and situations
To rule over humans
Real Life Problem Solving
An AI agent is defined though it's PEAS.What does the term PEAS stand for?
Personal Enhancement Area in Science
Performance, Environment, Actuators and Sensors
Performance, Entity, Area, State
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
Which of the mentioned point are not valid with respect to a Propositional Logic?
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
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.
Which of the following is considered as the most powerful AI agent?
Simple based reflex agent
Model based reflex agent
Goal based agent
Utility based agent
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 of the mentioned parts of an agent would you consider to be the most valuable in terms of AI?
Sensors and Actuators
Wheels and steering
Arms and legs
All 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 steps:
a) Gathering knowledge
b) Defining problem
c) Applying solution
d) Planning
e) Forming the state space
What is the correct order for solving an AI problem?
i. v. ii. iv. iii.
i. ii. iii. iv. v.
ii. i. v. iv. iii.
None of the above
Which of the following statements correctly define the concept of Inference in AI?
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.
Bayesian Theorem was named after its inventor. Who invented the Bayesian theorem?
Reverend Thomas Bayes
Stuart Bayes Hamilton
Bayes Canney
None 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.
What does a first order predicate logic contain?
Predicate and a subject
Predicate and a Preposition
Subject and an object
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 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
The results that we get after we apply conditional probability to a problem are,
100% accurate
Estimated values
Wrong values
None of the above