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
Correct Answer :
D. Left sided and right sided
There is no classification of the environment such as left-sided or right-sided. Thus this classification is invalid.
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
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 inference rules that are used in Inference?
a) Addition
b) Subtraction
c) Multiplication
d) Division
Options:
Only i.
i. and iii.
ii. and iii.
iii. and iv.
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 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 among the following does fuzzy logic refer to the most?
Probability
Inference
Heuristic Search
All 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
Consider the following statement:While taking any decision, the agent must provide specific reasons based on which the decision was taken. And this reasoning can be done by the agent only if the agent has the capability of understanding the logic.Among which of the following situations will the agent use and apply logic for solving the problem?
To solve real life problems
To play a game against a human in the same way as a human would do
To understand the environment variables
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
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 levels in a knowledge-based agent is the most abstract level?
Knowledge Level
Logical Level
Implementation Level
Can't be determined
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 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.
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
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 conditional probability to a problem are,
100% accurate
Estimated values
Wrong values
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 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 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 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.
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
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
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 comprised within AI?
Machine Learning
Deep Learning
Both (1) and (2)
None of the above
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
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.
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.
How many types of learning are there for an AI system?
2 types
3 types
4 types
None of the above
What does a first order predicate logic contain?
Predicate and a subject
Predicate and a Preposition
Subject and an object
None of the above