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.
Correct Answer :
C. Agent has no information about the event
The value 0 suggests that the agent has no information about the event or the situation.
Related Questions
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 correctly defines the use of probabilistic reasoning in AI systems?
In situations of uncertainty, probabilistic theory can help us give an estimate of how much an event is likely to occur or happen.
It helps to find the probability whether the agent should do the task or not.
It does not help at all.
None of the above.
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.
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
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.
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
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
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
Which of the following mentioned statements are the valid reasons for implementing the learning part in the systems in AI?
To implement humanly behavior.
To deal with unknown environment.
To improve the reasoning capability of the agent.
All 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 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
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
The results that we get after we apply conditional probability to a problem are,
100% accurate
Estimated values
Wrong values
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
How many types of learning are there for an AI system?
2 types
3 types
4 types
None 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
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.
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
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
On which of the mentioned points does the Probabilistic Reasoning depend?
Estimation
Likelihood
Observations
All 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
Which of the mentioned rules are valid Inference rules?
Modus Ponens
Resolution
Backward Chaining
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
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 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.
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 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
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 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 among the following does fuzzy logic refer to the most?
Probability
Inference
Heuristic Search
All of the above