Consider the following statement:The knowledge-based agent can be described using three levels. These are: Knowledge level, Logical level, and Implementation levelWhich of the following layers deals with the physical representation of the sentences?
Knowledge Level
Logical Level
Implementation Level
Can't be determined
Correct Answer :
C. Implementation Level
The Implementation level is the final layer of the knowledge-based agent. In the implementation level, the logic which the agent has derived in the logical level is brought to implementation. This layer deals with the physical representation of the sentences.
Related Questions
Which of the mentioned human behavior does the AI aim to mimic?
Thinking
Eating
Sleeping
None 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
Which of the following points are valid with respect to conditional probability?
Conditional Probability gives 100% accurate results.
Conditional Probability can be applied to a single event.
Conditional Probability has no effect or relevance or independent events.
None of the above.
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
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 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 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.
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.
Consider the following statement:While solving a CSP (Constraint Satisfactory Problem), the agent cannot violate any of the rules and regulations or disobey the restrictions mentioned as the constraints.Which of the following problems do not fall under the category of CSP?
N- Queens Problem
Chess
Sudoku
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 following are a deductive type of Inference rule?
Forward Chaining
Backward Chaining
Both a. and b.
None of the above
Which of the mentioned rules are valid Inference rules?
Modus Ponens
Resolution
Backward Chaining
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
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.
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
How many types of learning are there for an AI system?
2 types
3 types
4 types
None of the above
An AI agent is defined though it's PEAS.What does the term PEAS stand for?
Personal Enhancement Area in Science
Performance, Environment, Actuators and Sensors
Performance, Entity, Area, State
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 is the Bayesian theorem reasonable to apply?
Dependent Events
Independent Events
Neither a. nor b.
Both a. and b.
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 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 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 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
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
On which of the mentioned points does the Probabilistic Reasoning depend?
Estimation
Likelihood
Observations
All 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 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
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
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.