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.
Correct Answer :
B. When we conclude the facts and figures to reach a particular decision, that is called inference
Inference means finding a conclusion based on facts, information, and evidences. In simple words, when we conclude the facts and figures to reach a particular decision, that is called inference.
Related Questions
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 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
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
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 rules are valid Inference rules?
Modus Ponens
Resolution
Backward Chaining
All of the above
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
The complete set of rules for defining the valid movements of an AI agent for changing the statesWhat does the above definition refer to?
Documentation for an AI agent
Production rules for an AI agent
Pseudo Code for an AI agent
None of the above
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.
The results that we get after we apply Bayesian Theorem to a problem are,
100% accurate
Estimated values
Wrong values
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
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
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
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
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 following are a deductive type of Inference rule?
Forward Chaining
Backward Chaining
Both a. and b.
None 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 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 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
Which of the following are comprised within AI?
Machine Learning
Deep Learning
Both (1) and (2)
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.
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 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.
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.
How many types of learning are there for an AI system?
2 types
3 types
4 types
None of the above
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
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
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 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 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.