Information and Self-Organization: A Macroscopic Approach to Complex Systems

By Hermann Haken. 2010

610 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4280594c10bdc7f7fb10dbe6c83f220603bb5067

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Citations in the corpus

Researching complex dynamic systems: ‘Retrodictive qualitative modelling’ in the language classroom (2011, background): “…pointed out, this issue is related to the ‘order parameter concept’ in synergetics, which concerns general qualitative dimensions along which the outcome of a dynamic system may vary, involving ‘control parameters’ which control the process of self-organization (see, for example, Haken 2006).”
Approaching complexity by stochastic methods: From biological systems to turbulence (2011, background): “In systems far from equilibrium collectivity arises due to self-organization [3,4].”
Consciousness as a phenomenon in the operational architectonics of brain organization: Criticality and self-organization considerations (2013, background): “By doing so, they regulate energy flow and promote the emergence of macroscopic structure [62,64].”
Statistical theory of the boundary friction of atomically flat solid surfaces in the presence of a lubricant layer (2012, neutral): “Then the basic equations with stochastic additions take the form [ In the Stratonovich approach, there is a correlation between s (cid:133) t (cid:134) and d W , suggesting memory effects [108] in lubricant films.”
EEG microstates as a tool for studying the temporal dynamics of whole‐brain neuronal networks: A review (2017, background): “Researchers have proposed the concept of metastability to account for such transition dynamics (Bressler and Kelso, 2001; Friston, 1997; Haken, 1988; Kelso and Fuchs, 1995).”