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All points are interconnected and interdependent, unfolding in a nonlinear manner with no central source of authority.
Early versions of systems theory assumed that systems could be 'optimized' to a single condition. CAS analysis assumes that more than one system state can satisfy optimizing criteria, and so the system is able to gravitate to multiple equilibria.
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An enslaved state can persist as an attractor (see Attractor States) within a Fitness Landscape.
Beyond its day-to-day usage, this term used in now employed in the social sciences to highlight the Path Dependency exhibited in many social systems. This is seen to contrast with prior conceptions like "the march of history", which imply a clear causal structure. By speaking about the work as something contingent, it also begs the question of what other "worlds" might have just as equally manifested, had things been slightly different.
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Pictured below: the contingent trajectory of the double pendulum:
See also: Causal loop diagram - Wikipedia
In geography there has been a move away from thinking about space as a "thing" and to instead think about how different places exist due to how they interact with flows. Places that capture more flows, are more geographically relevant
The nature of a building block varies according to the system: it may take the form of an ant, a cell, a neuron or a building.
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Chris Langton is a research and computer scientist. His research interests include artificial life, complex adaptive systems, distributed dynamical systems, multi-agent systems, simulation technology, and the role of information in physics.
Langton is considered to be one of the founders of the field of artificial life, which he coined the term for. Artificial life is the study where researchers examine systems related to life, its processes, and its evolution, through the use of simulations with computer models, robotics, and biochemistry. Properties these simulations exhibit include reproduction, sexuality, swarming, and co-evolution.
Langton also worked on emergent behaviors found in complex adaptive systems, using cellular automata. Langton's "Ant Colonies" is a two dimensional machine that begins with a very simple set of rules with complex emergent behavior. It runs on a square lattice of black and white cells. Langton demonstrated that the same model could exhibit different modes of behavior, including simplicity, chaos, and emergent order. Simplicity is seen during the first one hundred moves and is often symmetrical. Chaos is seen later when irregular patterns appear. Emergent order happens when the recurring pattern repeats indefinitely
By using this link you can play with the ant colony: http://langtons.atspace.com/
Langton was interested in the boundary conditions where a system changes from one state to another, and believed that this boundary, between order and chaos, is where information flow is most effective. Because of this, he believed that life might, in some way, behave like a cellular automata, with rules naturally advanced a system towards 'the edge of chaos' He states, “Evolution tends to push systems towards the edge of chaos, where complex, interesting behaviors such as life can occur.”
Text adapted from a contribution by Megan Van Dalen, Iowa State University, 2021
Cite this page:
Wohl, S. (2022, 24 May). Chris Langton. Retrieved from https://kapalicarsi.wittmeyer.io/definition/chris-langton
Chris Langton was updated May 24th, 2022.
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Artificial Life
Artificial life as a tool for biological inquiry; Cooperation and community structure in artificial ecosystems; Extended molecular evolutionary biology: artificial life bridging the gap between chemistry and biology; Visual models of morphogenesis; The artificial life roots of artificial intelligence; Toward synthesizing artificial neural networks that exhibit cooperative intelligence behavior
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