Every Good Regulator of a System Must Be a Model of That System

By R. Conant, W. R. Ashby. 1970

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Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “Systems theorists Conant and Ashby (1970), argued that any good regulator of a system must be a model of the system.”
The free energy principle made simpler but not too simple (2022, unknown): “This links nicely with theories of selforganisation, such as synergetics in physics [24, 14, 71] or homoeostasis in physiology [72, 73, 74].”
A free energy principle for a particular physics (2019, background): “ticles like ourselves). Section 8 asks why one might attribute representational or inferential capacities to biological self-organisation. In other words, how notions like the good regulator theorem (Conant and Ashby, 1970) and the Bayesian brain hypothesis (Helmholtz, 1878 (1971); Knill and Pouget,”
Navigating the Affordance Landscape: Feedback Control as a Process Model of Behavior and Cognition. (2016, unknown): “, the ‘good regulator theorem’ that the best regulator requires a model [79]).”
Direct-fit to nature: an evolutionary perspective on biological (and artificial) neural networks (2019, background): “The brain itself, in orchestrating behavior, is by conventional standards a wildly over-parameterized modeling organ (Conant and Ross Ashby, 1970).”
The minority report: some common assumptions to reconsider in the modelling of the brain and behaviour (2016, background): “A more formal approach to this issue may be based on the so-called Good Regulator theorem of Conant and Ashby (1970), who proved that, under certain probabilistic assumptions, ‘every good regulator of a system must be a model of that system’.”
Surfing Uncertainty: Prediction, Action, and the Embodied Mind. (2017, unknown): “Instead, brains’ generative model attends to the business of control and regulation (cf., Conant and Ashby 1970).”
The theory of constructed emotion: an active inference account of interoception and categorization (2017, unknown): “D ow nloaded from https://academ ic.oup.com /scan/article-abstract/12/1/1/2823712 by guest on 04 M ay 2020”
Active interoceptive inference and the emotional brain (2016, background): “This perspective emphasizes the anticipatory control-oriented nature of interoceptive inference (7), recalling the role of predictive models in cybernetic theories of regulation (14, 15) as well as their counterparts in (exteroceptive) perception; e.”
From cognitivism to autopoiesis: towards a computational framework for the embodied mind (2016, background): “9 This can be understood by analogy to Ashby’s ‘good regulator theorem’ which states that every good regulator (i.e., a control system which maintains integrity in the face of change) must be a model of its environment (Conant and Ashby 1970).”
Bootstrapping bilinear models of Simple Vehicles (2015, background): “D(Y;X;U; ∆) is the set of all discrete-time dynamical systems with sampling interval ∆.”