Computational and Artificial Intelligence Flashcards

1
Q

What is AI?

A

the synthesis and analysis of computational agents that act intelligently

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2
Q

What are the definitions of AI (Russell and Norvig, 2016)?

A
  • systems that think like humans
  • systems that think rationally
  • systems that act like humans
  • systems that act rationally
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3
Q

Explain the “cognitive modelling” approach

A

definition of AI: systems that think like humans

  • requires greater understanding of human cognition
  • need to know how humans think (through introspection, psychological experiments, and brain imaging) in order to model human mechanisms of “intelligent thought” in a machine
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4
Q

Explain the “Laws of Thought” approach

A

definition of AI: systems that think rationally
- if you can take any informal knowledge and turn it into formal notation, you should be able to solve any logical problem in logical notation

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5
Q

Explain the “Turing Test” approach

A

definition of AI: systems that act like humans

- can a machine convince a human that it is a human just by its actions?

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6
Q

Explain the “Rational Agent” approach

A

definition of AI: systems that act rationally
- if there is not a logically provably correct choice, correct logical inference will not work so machines need to select an action based on the best possible outcome

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7
Q

Explain thinking vs acting in AI systems

A

acting only gives the impression of thinking intelligently, whereas thinking requires a conscious choice and processing themselves
does it matter if the outcome is intelligent or just the actions? (e.g. self-driving car: is it enough to just notice pedestrians and not hit them or does it need to make a conscious effort to?)

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8
Q

Explain rational vs human in AI systems

A

AI decisions may be rational but not necessarily human-like (e.g. AlphaGo: rational moves for victory that humans would not choose)

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9
Q

What is strong AI?

A

a machine that actually thinks

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10
Q

What is weak AI?

A

a machine acting intelligently without thinking

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11
Q

What is computational intelligence?

A

alternative approach to AI that is adaptive, and changes on its own depending on its environment
finding best option in uncertain situations

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12
Q

Goals of AI/CI

A
  • creating AI
  • understanding natural intelligence
  • creating intelligent solutions to problems
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13
Q

What is artificial general intelligence?

A

the ultimate goal of AI – machines that can perform any function, it does not need to know how to do a task specifically but can learn how to (intelligent, whilst also adaptive and flexible)

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14
Q

What are the 6 tests for intelligence?

A
  • Turing Test
  • Coffee Test
  • Robot College Student Test
  • Employment Test
  • Flat Pack Furniture Test
  • Mirror Test
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15
Q

Turing Test

A

convince a human that you are a human not a machine

standard for AI keeps changing, e.g. modern chatbots no longer considered strong AI

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16
Q

Coffee Test

A

enter a random home and use the facilities to make a coffee

intelligent traits: learning from experience, physical intelligence, flexibility/adaptability

17
Q

Robot College Student Test

A

enrol at a university and obtain a degree
(not about the tasks, but having the flexibility to deal with changing situations; also requires awareness of circumstance)

18
Q

Employment Test

A

perform as a well as a human in a job

general purpose learning systems; advocates for developing childlike machines that can learn and develop

19
Q

Flat Pack Furniture Test

A

unpack and assemble an item of flat packed furniture

problem solving and flexibility

20
Q

Mirror Test

A

machine should distinguish an object and its reflected image from a mirror
(originally designed for animals; testing self-recognition and self-awareness)

21
Q

About AI tests

A
  • debate of thinking vs acting
  • prioritises features of: flexibility, adaptability, self-awareness, learning, development
  • measuring intelligence through human features?
22
Q

Argument against weak AI

A

can machines act intelligently?

23
Q

Dijkstra

A

does the question of whether machines can actually think matter when its actions are still successful?

24
Q

What is the Qualification Problem?

A
  • human behaviour is too complex to capture as formal logic

- importance of environmentally and socially situated agents exhibiting embodied cognition, over disembodied programs

25
Q

Argument against strong AI

A

can machines actually think?

26
Q

Turing Test might only…

A
  • passing Turing Test may only demonstrate simulation of thought, not actual thought
  • argument from consciousness involves phenomenology (study of direct experience – “feel” emotions) and intentionality (beliefs and desires)
27
Q

Searle’s Chinese Room experiment

A

non-Chinese speaking person convincing you they understand Chinese by looking it up from a book; they don’t actually “understand” Chinese; without understanding/intentionality, the machine isn’t thinking and doesn’t have a mind so strong AI hypothesis is false

28
Q

Mind-Body Replacement

A

how can physical states also be mental states?

29
Q

Brain replacement experiment

A

replacement of microchips instead of neurons, when is it no longer a brain and a machine? (i.e. Ship of Theseus)

30
Q

What are some human biases in AI?

A
  • age
  • race
  • gender
  • status
  • religion