Intentionality in non-equilibrium systems? The functional aspects of self-organized pattern formation

By Wolfgang Tschacher, Hermann Haken. 2007

152 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/8fb70df00c8674ff7d5dd594c6908a609c9969d6

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Citations in the corpus

Action and behavior: a free-energy formulation (2010, background): “A related treatment of self-organizationinnon-equilibriumsystemscanbefoundin synergetics;where“patternsbecomefunctionalbecausethey consumeinamostefficientmannerthegradientswhichcause their evolution” ( Tschacher and Haken 2007 ).”
Ecological-Enactive Cognition as engaging with a field of relevant affordances (2018, background): “complex systems theory that describes how macro-level patterns typically constrain the movements of the micro-level parts, whilst at the same time being generated by these parts (Tschacher and Haken 2007).”
A free energy principle for a particular physics (2019, background): “In treatments of synergetics and pattern formation, this least action principle is sometimes expressed as the destruction of energy gradients (Tschacher and Haken, 2007).”
The graphical brain: Belief propagation and active inference (2017, background): “Inter-estingly, it also casts prediction error as a free energy gradient, which is effectively destroyed as the gradient descent reaches its attracting (stationary) point; see Tschacher and Haken (2007) for a synergetic perspective.”
Functional and Effective Connectivity: A Review (2011, unknown): “This is an important issue because systems near phase-transitions show universal phenomena ( Jirsa et al., 1994; Jirsa and Haken, 1996; Jirsa and Kelso, 2000; Tognoli and Kelso, 2009; Tschacher and Haken, 2007).”
Free Energy, Value, and Attractors (2011, background): “The common theme here is the induction of itinerancy though the destruction of fixed-points or the gradients causing them [86].”
The anticipating brain is not a scientist: the free-energy principle from an ecological-enactive perspective (2016, background): “On the other hand, the free-energy principle is consistentwithmany other accounts of self-organizing (living) systems such as synergetics (Tschacher and Haken2007), global brain dynamics (Freeman1987, 2000),metastability (Kelso2012; Rabinovich et al. 2008), autopoiesis (Maturana and Varela 1980;…”
Reinforcement Learning or Active Inference? (2009, background): “. However, it is important not to confuse the free-energy here with thermodynamic free-energy in physics. Variational free-energy is an information theory measure that is a scalar function of sensory states or data and a probability density (the recognition density). This means thermodynamic argumen”
The free-energy principle: a unified brain theory? (2010, background): “These dynamical phenomena have a key role in synergetic and autopoietic accounts of adaptive behaviou”