Lecture 01 - Evolutionary AI and robotics intro Flashcards

1
Q

What is symbolic AI?

A

Algorithmically driven AI, e.g. knowledge graphs.

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2
Q

What is subsymbolic AI?

A

Connectionist, bio-inspired AI.

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3
Q

What is weak AI?

A

Narrow AI that solves a specific task, often better than humans.

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4
Q

What is strong AI?

A

An AI that can learn/perform ANY intellectual task, i.e. learn to learn.

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5
Q

What is a simple system?

A

Completely correlated + totally independent parts. Can still be complicated/difficult.

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6
Q

What is a complex system?

A

A system of components that interact with each other, often in a nonlinear fashion.

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7
Q

What does self-organizing mean for a complex system?

A

Systematized behavior can develop from seemingly random conditions.

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8
Q

What is emergent behavior?

A

some property of a system observed at macroscopic scales are difficult to explain by microscopic rules that drive the system behavior

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9
Q

What is self-organization?

A

system spontaneously organizes itself to produce nontrivial macroscopic behavior, over time

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10
Q

What are the 5 typical features of complex systems? (CLOSE)

A
  • Small ”simple” components
  • Locally correlated and interacting parts
  • Self-organization (over time)
  • “The whole is more than the sum of its parts”
  • Emergence (over scale)
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11
Q

What is a model?

A

a simplified representation of a system (verbal, conceptual, diagrammatic, physical, formal, mathematical)

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12
Q

What is Engineering?

A

effort to control/influence nature (or a system) to make something desirable happen, by creating and controlling models

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13
Q

What are the two approaches to modeling mentioned?

A

Descriptive modeling and rule-based modeling

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14
Q

What is descriptive modeling?

A

Trying to capture “what the system looks like”, e.g. taking a photo.

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15
Q

What is rule-based modeling?

A

Trying to capture “how the system will behave”, e.g. dynamical equations.

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