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
Correct Answer :
C. Propositional Logic is a type of knowledge representation in AI
In propositional logic, each sentence is a declarative sentence which is a sentence or proposition which is either true or false.
Related Questions
Which of the mentioned properties of Constraint Satisfactory Problems dare valid?
Constraints are a set of restrictions and regulations
While solving a CSP, the agent cannot violate any of the rules and regulations or disobey the restrictions mentioned as the constraints
It also focuses on reaching to the goal state
All of the above
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 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
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 human behavior does the AI aim to mimic?
Thinking
Eating
Sleeping
None 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
The results that we get after we apply conditional probability to a problem are,
100% accurate
Estimated values
Wrong values
None of the above
Which among the following does fuzzy logic refer to the most?
Probability
Inference
Heuristic Search
All 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
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.
Which of the following types does the Cryptarithmetic problem belong to?
Encryption Problem
Constraint Satisfactory Problem
Number problem
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.
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
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.
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
There are two types of quantifiers used to quantify the statement in the knowledge representation in AI. What are these two types of quantifiers?
a) Universal Quantifiers
b) Subjective Quantifiers
c) Existential Quantifiers
d) Selective Quantifiers
Options:
i. and ii.
i. and iii.
ii. and iii.
iii. and iv.
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
The main Aim of the AI system is to provide a solution for real-life problems by acting and thinking humanly. Whenever an agent is confronted by a problem, what is the first step that it follows towards searching a solution to the problem?
Searching for relevant data in the surroundings
Searching into its own knowledge base for solutions
Seeking for human inputs for approaching towards the solution
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 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 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
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 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.
Which of the following are a deductive type of Inference rule?
Forward Chaining
Backward Chaining
Both a. and b.
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
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.
What do the Constraints refer to in a CSP (Constraint Satisfactory problem)?
Restrictions
Rules
Regulations
All of the above
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
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