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Published in 2019 at "Physics of life reviews"
DOI: 10.1016/j.plrev.2019.08.004
Abstract: Kuchling, Friston, Georgiev and Levin ([1]; hereafter KFGL) show how to construct, starting from generic classical physical assumptions, a model of a cell, or of any biological system, as an inferential agent that acts to…
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Keywords:
general physical;
markov;
interaction surfaces;
markov blankets ... See more keywords
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Published in 2022 at "Behavioral and Brain Sciences"
DOI: 10.1017/s0140525x22000255
Abstract: Abstract The authors argue that their target is orthogonal to the realism and instrumentalist debate. I argue that it is born directly from it. While the distinction is helpful in illuminating how some ontological commitments…
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Keywords:
realism ontological;
markov blankets;
ontological commitments;
blankets realism ... See more keywords
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Published in 2022 at "Behavioral and Brain Sciences"
DOI: 10.1017/s0140525x22000309
Abstract: Abstract Markov blankets – statistical independences between system and environment – have become popular to describe the boundaries of living systems under Bayesian views of cognition. The intuition behind Markov blankets originates from considering acyclic,…
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Keywords:
nonequilibrium systems;
markov blankets;
recurrent nonequilibrium;
blanket assumption ... See more keywords
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Published in 2022 at "Behavioral and Brain Sciences"
DOI: 10.1017/s0140525x22000371
Abstract: Abstract We agree with Bruineberg and colleagues' main claims. However, we urge for a more forceful critique by focusing on the extended mind debate. We argue that even once the Pearl and Friston versions of…
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Keywords:
markov blankets;
boundaries mind;
blankets demarcate;
demarcate boundaries ... See more keywords
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Published in 2022 at "Behavioral and Brain Sciences"
DOI: 10.1017/s0140525x22000619
Abstract: Abstract Bruineberg et al. argue that one ought not confuse the map (model) for the territory (reality) and delineate a distinction between innocuous Pearl blankets and metaphysically laden Friston blankets. I argue that all we…
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Keywords:
markov blankets;
bayesian territories;
blankets bayesian;
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Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2927636
Abstract: Learning Markov blankets (MBs) plays an important role in many machine learning tasks, such as causal Bayesian network structure learning, feature selection, and domain adaptation. Since variables included in the MB of a target variable…
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Keywords:
learning markov;
multiple interventional;
data sets;
interventional data ... See more keywords
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Published in 2022 at "Behavioral and Brain Sciences"
DOI: 10.31234/osf.io/syz2r
Abstract: Abstract Bruineberg and colleagues highlight work using Markov blankets to demarcate the bounds of the mind. This echoes earlier attempts to demarcate the bounds of the mind from a dynamical systems perspective. Advocates of mechanistic…
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Keywords:
markov blankets;
return math;
bounds mind;
math markov ... See more keywords