Aug 28, 2020 · We introduce a novel framework to identify perception-action loops (PALOs) directly from data based on the principles of computational mechanics.
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Using our theory, we show that every bipartite stochastic process has a causal blan- ket, but the extent to which this leads to an effective PALO formulation.
Causal Blankets: Theory and Algorithmic Framework - SpringerLink
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Dec 18, 2020 · We introduce a novel framework to identify perception-action loops (PALOs) directly from data based on the principles of computational mechanics.
Using our theory, we show that every bipartite stochastic process has a causal blan- ket, but the extent to which this leads to an effective PALO formulation.
Aug 28, 2020 · It is shown that every bipartite stochastic process has a causal blanket, but the extent to which this leads to an effective PALO ...
We introduce a novel framework to identify perception-action loops (PALOs) directly from data based on the principles of computational mechanics.
We introduce a novel framework to identify perception-action loops (PALOs) directly from data based on the principles of computational mechanics.
Sep 14, 2020 · Our approach is based on the notion of causal blanket, which captures sensory and active variables as dynamical sufficient statistics -- i.e. as ...
We introduce a novel framework to identify perception-action loops (PALOs) directly from data based on the principles of computational mechanics.
Feb 9, 2024 · Bibliographic details on Causal blankets: Theory and algorithmic framework.