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.
Correct Answer :
D. All i, ii. and iii.
The following three are among the basic and widely used methods to perform decision making while handling the uncertainty:
Related Questions
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
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 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 of the following types does the Cryptarithmetic problem belong to?
Encryption Problem
Constraint Satisfactory Problem
Number problem
All 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.
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 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 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.
Using how many levels can a knowledge-based agent be defined?
3 levels
2 levels
4 levels
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
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 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
Which of the levels in a knowledge-based agent is the most abstract level?
Knowledge Level
Logical Level
Implementation Level
Can't be determined
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 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
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 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 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
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
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 mentioned human behavior does the AI aim to mimic?
Thinking
Eating
Sleeping
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 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 following is a valid AI agent type?
Simple based Reflex agent
Model Based Reflex Agent
Goal Based Agent
All 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
On which of the mentioned points does the Probabilistic Reasoning depend?
Estimation
Likelihood
Observations
All of the above
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
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 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