Bayesian Theorem was named after its inventor. Who invented the Bayesian theorem?
Reverend Thomas Bayes
Stuart Bayes Hamilton
Bayes Canney
None of the above.
Correct Answer :
A. Reverend Thomas Bayes
Bayes theorem was given by Reverend Thomas Bayes and thus named after him.
Related Questions
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
Which of the levels in a knowledge-based agent is the most abstract level?
Knowledge Level
Logical Level
Implementation Level
Can't be determined
Which of the following is not a goal of an AI agent?
Perceiving data from the environment
Adapting to the environment and situations
Acting upon the Environment
Reversing the previously performed actions
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
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
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
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
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 following does not represent a Goal based agent?
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
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
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
On which of the mentioned points does the Conditional Probability reasonable to apply?
Dependent Events
Independent Events
Neither a. nor b.
Both a. and b.
What does a first order predicate logic contain?
Predicate and a subject
Predicate and a Preposition
Subject and an object
None of the above
What do the Constraints refer to in a CSP (Constraint Satisfactory problem)?
Restrictions
Rules
Regulations
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 following mentioned properties are valid for a Cryptarithmetic problem?
a) A number 0-9 is assigned to a particular alphabet.
b) Each different alphabet has a unique number.
c) All the same alphabets have the same numbers.
d) The numbers should satisfy all the operations that any normal number does.
Options:
Only iv.
All i., ii., iii. and iv.
ii. and iv.
None of the above
Which of the following hold in the Fuzzy Logic System? Choose from the following options?
a) Well defined inference making model
b) Complex Decision making can be easily performed
c) It is easily understandable
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii.
Why do we want to implement the concept of Logic in an AI system?
So that the agent can have decision making capability
So that the agent can think and act humanly
So that the agent can apply the logic for finding the solution to any particular problem
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 is not a goal of AI?
Thinking humanly
Adapting to the environment and situations
To rule over humans
Real Life Problem Solving
Which of the following streams of AI deal with the learning part of the machine (AI systems)? Choose from the following options?
a) Machine Learning
b) Cloud computing
c) Humanly Learning
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii.
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
Which of the following points are valid with respect to conditional probability?
Conditional Probability gives 100% accurate results.
Conditional Probability can be applied to a single event.
Conditional Probability has no effect or relevance or independent events.
None of the above.
In AI, we study the whole universe by dividing it into two components.What are these two components?
Sky and Land
Agent and environment
Yes or No
None of the above
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
Using how many levels can a knowledge-based agent be defined?
3 levels
2 levels
4 levels
None of the above
Which of the mentioned rules are valid Inference rules?
Modus Ponens
Resolution
Backward Chaining
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 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
Which of the following are the main tasks of an AI agent?
Movement and Humanly Actions
Perceiving and acting on the environment
Input and Output
None of the above