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
Correct Answer :
B. All i., ii., iii. and iv.
All the mentioned problems are examples of CSP (Constraint Satisfactory problem) in AI.
Related Questions
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
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.
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
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
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 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 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.
Which if the following are valid methods used for decision making by an AI agent in situations of uncertainty? Choose from the following options?
a) Probabilistic theory
b) Fuzzy logic
c) Truth Maintenance
Only i.
i. and iii.
ii. and iii.
All i, ii. and iii.
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 among the following does fuzzy logic refer to the most?
Probability
Inference
Heuristic Search
All of the above
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.
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
Which of the following definitions correctly defines the State-space in an AI system?
A state space can be defined as the collection of all the problem states
A state space is a state which exists in environment which is in outer space
A state space is the total space available for the agent in the state
All 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
Which of the following statements correctly defines the deductive logic in AI?
In deductive logic, the complete evidence is provided about the truth of the conclusion made
A top-down approach is followed
The agent uses specific and accurate premises that lead to a specific conclusion
All of the above
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
Which of the following is considered as the most specific environment classifications in AI?
Discrete or Continuous
Observable and partially-observable
Static and dynamic
None 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.
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 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
What do the Constraints refer to in a CSP (Constraint Satisfactory problem)?
Restrictions
Rules
Regulations
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
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
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.
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.
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 following types does the Cryptarithmetic problem belong to?
Encryption Problem
Constraint Satisfactory Problem
Number problem
All 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
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
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.