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Evolutionary
Agents in the CAS constantly adjust their possible behaviors to inputs - maintaining fitness over time.
CAS systems evolve over the course of time.
Evolution is a term closely related to Adaptive Capacity: while the two concepts are often used interchangeably, there are some nuances. It is preferable to speak of complexity dynamics being adaptive rather than evolutionary, because adaptive implies a better fit with a context. While we normally associate the idea of evolution with a change for the better, it can also be used to describe any kind of change, whether for better or worse.
General Darwinian processes of Variation, Selection and Retention of desired characteristics help drive the system.
Need to say something here about adjacent possible
close to adaptation, but also the notion of a co-evolving fitness landscape.
adaptation is not static
combine: minimizing goals to process energy + game theory (minimizing goals achieved within a population) = emergence of next level order that then has its own minimizing goals... etc.
Information processor but also populations of interacting information processors.
Cite this page:
Wohl, S. (2022, 13 June). Evolutionary. Retrieved from https://kapalicarsi.wittmeyer.io/definition/evolving
Evolutionary was updated June 13th, 2022.
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Section: terms
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