Chapter 1 : Agents Flashcards

1
Q

What is AI?

A
  • Thinking Humanly
  • Thinking Rationally
  • Acting Humanly
  • Acting Rationally
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2
Q

What does it mean to act rationally?

A

Do the right thing, often in AI means maximizing reward or minimizing error

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3
Q

What is an agent?

A

An agent is anything that is perceiving it’s environment and using sensors to gather data and actuators to act on the data

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4
Q

Fully Observable vs Partially Observable

A

if agent’s sensors are fully aware of the environment then it’s fully observable otherwise it is partially observable

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5
Q

Example of fully observable environment?

A

Crossword puzzle

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6
Q

Example of partially-observable environment?

A

Poker

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7
Q

Single agent vs multi-agent

A

We say an environment is multi-agent if we have multiple agents acting upon it

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8
Q

Example of single agent environment?

A

Crossword puzzle

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9
Q

Example of multi-agent environment?

A

Chess

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10
Q

Deterministic vs Schoastic

A
  • We say an environment is deterministic if next state is only dependent on current state and agent action.
  • It is scholastic is the next action is dependent on other agent actions or environment changing
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11
Q

Example of deterministic environment?

A

Crossword puzzle

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12
Q

Example of scholastic environment

A

Poker

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13
Q

Episodic vs Sequential

A
  • Episodic environment is an environment where the agent’s experience can be broken down into it’s own episode.
  • Sequential is different because it needs lookahead to perform correct actions.
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14
Q

Example of episodic environment?

A

Part picking robot

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15
Q

Example of sequential environment?

A

Crossword puzzle

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16
Q

Dynamic vs Static

A
  • Dynamic environment is an environment that is constantly changing while agent is deliberating
  • Static environment is environment that does not change.
17
Q

Example of dynamic environment

A

Self-less driving cars

18
Q

Example of static environment

A

Poker

19
Q

Discrete vs Continuous

A
  • Discrete environments can be described using states

- Continuous environments can be described using time

20
Q

Example of discrete environment?

A

Chess

21
Q

Example of continuous environment?

A

Self-less driving cars

22
Q

What is PEAS?

A

P - Performance
E - Environment
A - Actuators
S - Sensors

23
Q

What are agent types?

A
  • Simple reflex agent
  • Reflex agents with state
  • Goal based agent
  • Utility-based agent
  • Learning agents
24
Q

Can all agent types other then learning agents be transformed into learning agents?

A

True