Day 3 Flashcards

1
Q

…….. can be anything that perceive its environment through sensors and act upon that environment through actuators. An Agent runs in the cycle of perceiving, thinking, and acting. An agent can be

A

agent

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2
Q

An agent can be:

A

Human-Agent
Robotic-Agent
Software Agent

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3
Q

………..has eyes, ears, and other organs which work for sensors and hand, legs, vocal tract work for actuators.
1-Human-Agent
2-Robotic-Agent
3-Software Agent

A

A human agent

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4
Q

….. can have cameras, infrared range finder, NLP for sensors and various motors for actuators
1-Human-Agent
2-Robotic-Agent
3-Software Agent

A

A robotic agent

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5
Q

……….. can have keystrokes, file contents as sensory input and act on those inputs and display output on the screen.
1-Human-Agent
2-Robotic-Agent
3-Software Agent

A

Software agent

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6
Q

……….. is an autonomous entity which act upon an environment using sensors and actuators for achieving goals. An intelligent agent may learn from the environment to achieve their goals. A thermostat is an example of an intelligent agent.

A

An intelligent agent

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7
Q

The task of AI is to design an agent program which implements the agent function.
true
false

A

true

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8
Q

Agent=……………+…………….

A

Architecture+Agent program

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9
Q

…………. is machinery that an AI agent executes on

A

Architecture

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10
Q

……. is an implementation of agent function………. executes on the physical architecture to produce function f

A

Agent program

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11
Q

…………… is used to map a percept to an action.

f:P* → A

A

Agent Function

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12
Q

………. is a type of model on which an AI agent works upon.
2-PAES
3-PSEA

A

1-PEAS

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13
Q
When we define an AI agent or rational agent, then we can group its properties under PEAS representation model. It is made up of four words: 
➢P: ---------
➢E: -----------
➢A:----------
 ➢S:----------
A

➢P: Performance measure
➢E: Environment
➢A: Actuators
➢S: Sensors

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14
Q

performance measure is the objective for the success of an agent’s behavior
1-True
2-false

A

True

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15
Q

——- is one that can take the right decision in every situation.
1-Inteligent agent
2-A Rational Agent

A

A Rational Agent

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16
Q

———— a set of criteria/test bed for the success of the agent’s behavior.
1-Performance measure
2-Efficiency Measure

A

1-Performance measure

17
Q

The performance measures should be based on the desired effect of the agent on the environment.
1-True
2-False

A

True

18
Q

The agent’s rational behavior depends on:
➢Performance measure which defines the success criterion.
➢Agent prior knowledge of its environment.
➢Best possible actions that an agent can perform.
➢The sequence of percepts.

A

➢Performance measure which defines the success criterion.
➢Agent prior knowledge of its environment.
➢Best possible actions that an agent can perform.
➢The sequence of percepts.

19
Q

———- is everything in the world which surrounds the agent, but it is not a part of an agent itself. An environment can be described as a situation in which an agent is present.

A

An environment

20
Q

————– is where agent lives, operate and provide the agent with something to sense and act upon it.
هي المكان الذي يعيش فيه الوكيل ، ويعمل ، ويزود الوكيل بشيء يشعر به ويتصرف بناءً عليه

A

The environment

21
Q

➢If an agent sensor can sense or access the complete state of an environment at each point of time then it is a ————– environment, else it is partially observable.

A

fully observable

22
Q

➢An agent with no sensors in all environments then such an environment is called as —————- .

A

Unobservable

23
Q

If an agent’s current state and selected action can completely determine the next state of the environment, then such environment is called a ——– environment.
1-Deterministic
2-A stochastic

A

1-Deterministic

24
Q

A ———- environment is random in nature and cannot be determined completely by an agent.
1-Deterministic
2-A stochastic

A

2-A stochastic عشوائيا

25
Q

In an ————- environment, there is a series of one-shot actions, and only the current percept is required for the action.
1-Episodic عرضي
2-Sequential

A

1-Episodic

26
Q

However, in Sequential environment, an agent requires memory of past actions to determine the next best actions.
1-Episodic عرضي
2-Sequential

A

2-Sequential

27
Q

If only one agent is involved in an environment and operating by itself then such an environment is called ——— environment

A

single agent

28
Q

If multiple agents are operating in an environment, then such an environment is called a ———— agent environment
1-singel
2-Multi

A

multi

29
Q

➢If the environment can change itself while an agent is deliberating, then such environment is called a static environment else it is called a dynamic environment.
1-True
2-False

A

False
➢If the environment can change itself while an agent is deliberating, then such environment is called a dynamic environment else it is called a static environment.

30
Q

If in an environment there are a finite number of percepts and actions that can be performed within it, then such an environment is called a discrete environment else it is called continuous environment.

A

True

31
Q

Known and unknown are not actually a feature of an environment, but it is an agent’s state of knowledge to perform an action.

A

True

32
Q

In a unknown environment, the results for all actions are known to the agent. While in known environment, agent needs to learn how it works in order to perform an action.
True
False

A

False
In a known environment, the results for all actions are known to the agent. While in unknown environment, agent needs to learn how it works in order to perform an action.

33
Q

➢If an agent can obtain complete and accurate information about the state’s environment, then such an environment is called an ———— environment else it is called ————— .
1-Accessible ,inaccessible
2- Inaccessible, Accessible

A

Accessible ,inaccessible

34
Q

An empty room whose state can be defined by its temperature is an example of an accessible environment

A

True

35
Q

Information about an event on earth is an example of Inaccessible environment.

A

True

36
Q

Agents can be grouped into ——— classes based on their degree of perceived intelligence and capability. All these agents can improve their performance and generate better action over the time.
1- 5 classes
2-7 classes

A

7 Classes

37
Q

Agents can be grouped into classes based on their degree of perceived intelligence and capability. All these agents can improve their performance and generate better action over the time. These are given below:

A
o Random Agent 
o Table Driven Agent 
o Simple Reflex Agent 
o Model-based reflex agent 
o Goal-based agents 
o Utility-based agent
 o Learning agent