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 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 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 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
Consider the following statement:The search first begins from the root node and the first one of the child nodes sub-tree is completely traversed. That is, first all the one-sided nodes are checked, and then the other sided nodes are checked.Which search algorithm is described in the above definition?
The Breadth First Search (BFS)
The Depth First Search (DFS)
The A* search
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 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 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 definitions correctly define 'move' for an AI agent?
When the agent moves from one place to another, then it is called the move of the agent
When the agent goes from one state to another, it is known as a move
Both (1) and (2)
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.
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 following are comprised within AI?
Machine Learning
Deep Learning
Both (1) and (2)
None 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
Bayesian Theorem was named after its inventor. Who invented the Bayesian theorem?
Reverend Thomas Bayes
Stuart Bayes Hamilton
Bayes Canney
None of the above.
Using how many levels can a knowledge-based agent be defined?
3 levels
2 levels
4 levels
None of the above
How many types of quantifiers are there that are used to represent knowledge?
3 types
2 types
User can define as many quantifiers he wants
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
On which of the mentioned points does the Probabilistic Reasoning depend?
Estimation
Likelihood
Observations
All of the above
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
The results that we get after we apply Bayesian Theorem to a problem are,
100% accurate
Estimated values
Wrong values
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.
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 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
Which of the following does not represent a Goal based agent?
Reaching the goal in minimal amount of time
Reaching the goal in minimal cost
Reaching the initial state again after reaching the goal state
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 mentioned rules are valid Inference rules?
Modus Ponens
Resolution
Backward Chaining
All 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
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 following is considered as the most powerful AI agent?
Simple based reflex agent
Model based reflex agent
Goal based agent
Utility based agent
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 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