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
Correct Answer :
B. Perceiving and acting on the environment
The main task of an AI-based agent is to perceive the relevant information and data from its environment and act upon it accordingly.
Related Questions
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
How many types of learning are there for an AI system?
2 types
3 types
4 types
None of the above
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 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
Which among the following does fuzzy logic refer to the most?
Probability
Inference
Heuristic Search
All 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
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
On which of the mentioned points does the Probabilistic Reasoning depend?
Estimation
Likelihood
Observations
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 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.
Bayesian Theorem was named after its inventor. Who invented the Bayesian theorem?
Reverend Thomas Bayes
Stuart Bayes Hamilton
Bayes Canney
None of the above.
Which of the mentioned properties of the Utility-based AI agent differentiates it from the rest of the AI agents?
Responding and providing solution to the problem
Meeting the preference of the user
Meeting the goal
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 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 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
The results that we get after we apply Bayesian Theorem to a problem are,
100% accurate
Estimated values
Wrong values
None 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
The results that we get after we apply probabilistic reasoning to a problem are,
100% accurate
Estimated values
Wrong values
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
Which of the mentioned rules are valid Inference rules?
Modus Ponens
Resolution
Backward Chaining
All 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.
What does a first order predicate logic contain?
Predicate and a subject
Predicate and a Preposition
Subject and an object
None of the above
Why do we want to implement the concept of Logic in an AI system?
So that the agent can have decision making capability
So that the agent can think and act humanly
So that the agent can apply the logic for finding the solution to any particular problem
All of the above
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
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 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 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 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 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 following is considered as the most powerful AI agent?
Simple based reflex agent
Model based reflex agent
Goal based agent
Utility based agent