Training
AI Agent Knowledge Quiz
Test your understanding of artificial intelligence and agent-based systems with our challenging quiz! This quiz is designed for individuals interested in the fundamentals of AI and its various agents.
- 36 thought-provoking questions
- Multiple choice format
- Score as you go to track your knowledge
Chess considered a cooperative Multi-agent enviroment
True
False
Which type of agent considered the most intelligent
Goal-based agent
Utility-based agent
Simple Reflex agent
Model- based Agent
In a FULLY observable environment, sometimes sensors give it access to the complete state of the enviroment
True
False
An agent selects actions that it believes will maximize the expected satisfaction of the outcome state
Simple Reflex agent
Goal-based agent
Utility-based agent
Model- based Agent
An agent that senses only partial info about the state CAN be rational
False
True
An agent .......... Is the complete history of everything the agent has ever perceived
Percept sequence
Sensors
An agent that needs some sort of info that describes situations that are desirable
Goal- based Agent
Utility-based agent
Model- based Agent
Simple Reflex agent
In our course we defined AI as :
Acting Humanly
Acting rationally
Thinking Humanly
Thinking rationally
If the current decision could affect all future decisions in an environment then it is said that it is
Observable
Episodic
Static
Dynamic
Continuous
Sequential
Environment in chess game is considered STATIC
True
False
The performance measure is included in:
PEAS
Actuators
Sensors
Rational Agent
An agent whose action is derived directly from an internal representation of the current world state that is updated overtime
Utility-based agent
Model-based agent
Simple Reflex Agent
Goal- based Agent
No need to keep monitoring the environment while deliberating (deciding ) on the next move if the environment is:
Continuous
Dynamic
Episodic
Observable
Static
Sequential
A property of agents whose behavior is determined by their own experience rather than solely by their initial programming
Acting rationally
Robot
PEAS
Autonomy
Which instruments are used for perceiving and acting upon the environment
Perceiver
Sensors and Acuators
None of the above
Sensors
The simplest structure of agents with no memory are called :
Goal based agents
Model based agent
Simple reflex agents
Utility based agent
................. Is an entity that perceives and acts
Rational
Agent
Robot
Machine
The simplest agent with no memory
Goal based agents
Simple reflex agents
Utility based agents
Model based agent
............ Is doing the right thing
Robots
Rational agent
Rational behaviour
All the above
A perfectly rational poker playing agent never loses
True
False
The performance measure is included in
Rational Agent
Actuators
Sensor
PEAS
Consider Robotic that distributes luggage's in an airport according to destination the environment is sequential
True
False
When number of possibilities of percepts and/or action is too many to count for, the environment is considered DISCRETE
True
False
Decisions in an environment then it is said that it is
Static
Episodic
Sequential
An agent whose action depends only on the current percept is called
Simple
Model
Goal
Utility
An agent is the one who always does the right thing
True
False
An agent whose action is derived directly from an internal representation of the current world state that is updated over time
Model
Goal
Simple
Utility
Performance measures may be different for different agents types
True
False
A property of agents that choose actions that maximize their expected utility given the percepts to date
PEAS
Task Environment
Rationally
Percept sequence
Suppose an agent selects its actions uniformally at random from the set of possible actions There is NO deterministic task Environment that exists in which this agent is rational
True
False
There exist task environment in which no pure reflex agent can behave rationally
True
False
BFS is preferred over DFS because BFS does not require exponential space to explore the search space
True
False
The main task of a problem-solving agent is:
Solve The given problem and reach to goal
To find out which sequence of action will get it to the goal state
Both a and b
Neither a nor b
The major component/components for measuring the performance of problem solving
Completeness
Optimality
Time and Space complexity
All the above
Optimality is defined as : if there is a solution the algrithm will always find it
True
False
When is breadth-first search is optimal?
When there is less number of nodes
When all step costs are equal
When all step have different costs
Both a and c
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