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Computation at the edge of chaos: Phase transitions and emergent computation
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“As it has been proposed, adaptive systems require a high C in order to be able to cope with changes of its environment while at the same time maintaining their integrity (Langton, 1990; Kauffman, 1993).”
From Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis (2013) · cites this paper as Langton, 1990
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“As it has been proposed by several authors, complexity can be seen as balance between order and disorder (Langton, 1990; Kauffman, 1993; Lopez-Ruiz et al., 1995)”
From Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis (2013) · cites this paper as Langton, 1990
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“It has been argued that computation and life require this balance to be able to compute and adapt (Langton, 1990; Kauffman, 1993).”
From Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis (2013) · cites this paper as Langton, 1990
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“Finally, we show that a randomly connected circuit model, akin to a “reservoir” network13-15, can reproduce the observed distribution of timescales, provided that the network operates at the critical point (or “edge of chaos”)16-18.”
From A reservoir of time constants for memory traces in cortical neurons (2011) · cites this paper as [18]
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Metadata
- Authors
- Langton, C. G.
- Affiliations
- Los Alamos National Laboratory (US)
- Corresponding author
- Langton, Chris G.
- Venue
- Physica D: Nonlinear Phenomena
- Publisher
- Elsevier BV
- Published
- 1990-06
- Volume
- 42
- Issue
- 1-3
- Pages
- 12-37
- ISSN
- 0167-2789 (ISSN-L)
- OpenAlex
- W2177218873
- Cited by
- 1,527
- References
- 26
- Citations by year
- 2026: 66 · 2025: 61 · 2024: 93 · 2023: 51 · 2022: 67 · 2021: 63 · 2020: 71 · 2019: 48 · 2018: 73 · 2017: 70 · 2016: 42 · 2015: 56 · 2014: 51 · 2013: 72 · 2012: 59
- FWCI
- 14.66
- Type
- journal article
- Language
- en
- Open access
- green
- www.osti.gov
- Locations
- Physica D Nonlinear Phenomena (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Cellular Automata and Applications
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computability, Logic, AI Algorithms
- Keywords
- emergent computation, phase transitions, cellular automata, tipping points, second-order phase transition, information transmission, information storage, complexity classes, halting problem, edge of chaos
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