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unfinished notes on collective intelligence
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- discover more [[concepts]] | ||
- | ||
alias:: collective intelligence theory | ||
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- scientific field, which examines how | ||
- groups of individuals collaborate and pool their [[knowledge]] and [[tokens]] | ||
- to solve problems, make decisions, and create new [[knowledge]] | ||
- foundations are built on principles from: biology, sociology, psychology, computer science, and economics | ||
- ## key concepts | ||
- [[consensus]] | ||
- [[diversity]] | ||
- [[distributed cognition]] | ||
- [[self-organization]] | ||
- [[stigmergy]] | ||
- [[coordination]] | ||
- [[cooperation]] | ||
- [[emergence]] | ||
- ## key algorithms | ||
- [[delphi method]] | ||
- [[trust systems]] | ||
- [[cooperative games]] | ||
- [[prediction markets]] | ||
- more to embrace | ||
collapsed:: true | ||
- swarm intelligence | ||
- genetic algorithms | ||
- crowd sourcing | ||
- collaborative filtering | ||
- ensemble learning | ||
- network analysis | ||
- basic evidence which is interesting | ||
collapsed:: true | ||
- `c` as measure of collective intelligence | ||
- according to woolley is not correlated with `c` | ||
- team cohesion | ||
- motivation | ||
- satisfaction | ||
- they claim that factors were found as significant correlates | ||
- the variance in the number of speaking turns | ||
- group members average social sensitivity | ||
- proportion of females => women are collectively smarter | ||
- providing multiple team members the chance to speak up made a group more intelligent | ||
- groups that are moderately diverse in [cognitive style](https://en.wikipedia.org/wiki/Cognitive_style) | ||
- have higher collective intelligence | ||
- than those who are very similar in cognitive style or very different | ||
- collective intelligence of [[bostrom]] and [[spacepussy]] offers simpler [[learning]] | ||
- discover more [[concepts]] |
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- continuous process of [[cooperative games]] between [[neurons]] | ||
- implemented by [[cybernet]] project |
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alias:: feedback provided | ||
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- shapley value | ||
- solution concept that ensures fair distribution of payoffs among players | ||
- based on their contributions to the total value generated by the coalition | ||
- core | ||
- a set of feasible allocations | ||
- that cannot be improved upon by any coalition | ||
- ensuring stability in cooperative agreements | ||
- bargaining solutions | ||
- algorithms like the nash bargaining solution determine fair agreements in cooperative settings | ||
- where parties negotiate to maximize their collective utility | ||
- cooperative games is basics for [[learning incentives]] | ||
- experimentally deployed in [[space pussy]] | ||
- [[cybernet]], [[cybertensor]] and [[cyberver]] projects |
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- structured communication technique | ||
- that gathers [[expert opinions]] through multiple rounds of questionnaires | ||
- with [[feedback provided]] after each round to converge on a [[consensus]] |
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- emphasizes that cognitive processes can be distributed across members of a group and mediated by tools and technologies | ||
- theory leverages distributed cognition to enhance problem-solving and decision-making |
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- diversity in skills, knowledge, perspectives, and cognitive styles is crucial for collective intelligence | ||
- diverse groups are better at exploring a wider range of solutions and avoiding groupthink |
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- refers to complex patterns and behaviors that arise from [[simple interactions]] among [[individuals]] | ||
- explains how group-level intelligence can arise from the interactions of individuals without centralized control | ||
- [[llm]] is excellent case of emergence | ||
- [[vimputer]] is a good example of emergent behaviors in collective setting | ||
- in [[bostrom]] we expect emergence happens on a scale of 10^12 [[cyberlinks]] |
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- [[state]] of any [[vimputer]] |
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alias:: large language model | ||
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alias:: individuals, users | ||
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- currently is alias of [[neuron]] |
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- aggregate information from [[neurons]] by allowing them to trade shares in the outcome of future events | ||
- prices in these markets reflect the collective probability of an event occurring | ||
- area of ongoing research by [[cyber]] community |
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- the ability of a system to structure itself without external control | ||
- enables groups to coordinate and collaborate effectively through local interactions and feedback mechanisms |
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- mechanism of indirect coordination through the environment | ||
- often observed in social insects | ||
- in human collective intelligent systems | ||
- digital platforms can serve as stigmergic environments | ||
- where individuals contribute to and modify | ||
- shared [[information spaces]] |
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- aggregate and evaluate user feedback and interactions to establish trust and reputation scores | ||
- which help in managing the quality and reliability of contributions in online platforms | ||
- in [[bostrom]] global [[karma]] trust system is implemented |