Task 9 - Collective intelligence Flashcards

1
Q

Agent-based models (ABMs)

A
  • Computational models used to simulate interactions between individual agents within a system.
  • Each agent operates based on a set of rules, and their collective behavior can lead to emergent phenomena at the system level.
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2
Q

Backchanneling

A

Nonverbal behavior that shows the speaker that one is actively engaged in the interaction

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3
Q

Collective intelligence

A

Group intelligence that emerges from collaboration and learning from others (e.g. not all making the same mistake)

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4
Q

Distributed cognition

A
  • Theory in cognitive science that suggests that thinking and knowledge are not confined to an individual’s mind but are spread across people, objects, tools, and the environment.
  • Challenges the idea that cognition happens only “inside the head”
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5
Q

Shared mental-models

A

Provide team members with a common understanding of the task and who is responsible for what

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6
Q

Social learning

A

Process of acquiring knowledge, behaviors, or attitudes by observing and interacting with others

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7
Q

Theory of mind

A

The ability to attribute mental states to oneself and to others and to understand that others have beliefs different from ones own

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8
Q

The challenges to CRUM

A
  • Challenges CRUM because it doesn’t represent the fact that we are beings in the world
  • There are social aspects
  • People can do things without representations (through physical skill)
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9
Q

Social Epistomology

A
  • Study of how knowledge is produced, shared, and justified within social groups, institutions, and communities.
  • It challenges the idea that knowledge is purely individual
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10
Q

Multiagent systems

A

System where multiple autonomous agents interact with each other to achieve individual or collective goals.

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11
Q

Swarm intelligence

A

Swarm intelligence is the collective behavior of simple agents working together to solve problems without a central controller.

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12
Q

Artificial swarm intelligence (ASI)

A
  • Application of swarm intelligence principles to artificial systems, like robots or algorithms.
  • Involves multiple autonomous agents (e.g., robots or software) working together to solve problems by following simple rules and interacting locally, without central control.
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13
Q

Methodological individualism

A

Since groups are just collections of individuals, there is no need for explanations of group behavior to concern anything but individuals

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14
Q

The Effects of a Robot’s vulnerable behavior on trust

A
  • Study about how robots showing vulnerability by either self-disclosure, personal stories or humor
  • This increased trust-related human behavior and can even have ripple effects of human team members being vulnerable
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15
Q

Swarm

A

Any loosely structured collection of interacting agents

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16
Q

Stimergy

A

Communication by altering the state of the environment in a way that will effect the behavior of others for whom the environment is a stimulus (commonly used by insects)

17
Q

Wisdom of the Crowd vs. Swarm Intelligence

A

Comparing the effectiveness of simple aggregation of individual judgments (crowd) against real-time, dynamic interaction and feedback (swarm) in solving problems. Swarm intelligence often demonstrates superior performance.

18
Q

Crowdsourcing

A

Obtaining services, ideas, or content by soliciting contributions from a large group of people, typically online. Often used for knowledge aggregation.