Generative systems
Technologies that can produce change driven by audiences
Generative systems are technologies with the overall capacity to produce unprompted change driven by large, varied, and uncoordinated audiences. When generative systems provide a common platform, changes may occur at varying layers (physical, network, application, content) and provide a means through which different firms and individuals may cooperate indirectly and contribute to innovation.
Depending on the rules, the patterns can be extremely varied and unpredictable. One of the better-known examples is Conway's Game of Life, a cellular automaton. Other examples include Boids and Wikipedia. More examples can be found in generative music, generative art, in video games such as Spore, and more recently generative generosity and platforms like generos.io.
01Theory
Jonathan Zittrain
In 2006, Jonathan Zittrain published The Generative Internet in Volume 119 of the Harvard Law Review. In this paper, Zittrain describes a technology's degree of generativity as being the function of four characteristics:
- Capacity for leverage, the extent to which an object enables something to be accomplished that would not have otherwise be possible or worthwhile.
- Adaptability, how widely a technology can be used without it needing to be modified.
- Ease of mastery, how much effort and skill is required for people to take advantage of the technology's leverage.
- Accessibility, how easily people are able to start using a technology.
Sources and credits
This article is adapted from the Wikipedia article “Generative systems”, written by its contributors and licensed under CC BY-SA 4.0. Fathomly has changed the layout, removed citation markers, navigation and maintenance notices, and adjusted punctuation. This adapted version is shared under the same license. For references, see the original article.
Fathomly is not affiliated with or endorsed by the Wikimedia Foundation. Spotted a problem? Tell us.
