Fra
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Thanks for the link! A long talk but i will try to get around to check it out!
"The laws of this unistochastic process take the form not of differentiale quations, but of directed conditional probabilities, which have along history of admitting an interpretation as encoding causal relationships. From this perspective, quantum theory could be understood as a theory of microphysical causation par excellence."
-- https://arxiv.org/html/2402.16935v1
This sounds conceptually very similar to the constrast between system dynamics and agent based models. Because the point of that is also precisely the same, that the causal nature is best understood NOT at system level, but at the part-2-part (agent action) level; it's here the explanation of aggregate system level phenomena lies in this idea. Of course, with the caution, the "agent perspective", or agents actions, can be formulated as a kind of conditional probabilities, especially if you take the fictional external view, and views several agents from another perspective, then I think barandes perspective is even better. And it's a first step. Ie conditional upon the agents own best capabilities. This perspective is not explicit in Baranders work, but the tangent is interesting enough.
So in baranders view the causal understanding lies at the bayesian conditional probability level
I consider this as perhaps a simplified case of general agent perspective; simplified in the sense that one takes an "external perspective" of agents, and assume them to have a sort of hidden but real internal states, that explains their conditional probabilities. And this is fine as lone as one ignores the inferential requirements implixit in the "external perspectifve". And ignoring that IS I tink fine, if we ONLY wants to reinterpret QM, but when one tries to add gravity, i think this can't be ignored and things need to get more complex.
I will comment more as I listened to the other video
/Fredrik
As I didn't read the paper yet, do you perhpas relate to this?pines-demon said:I also have not been able to read on the new "microscopic theory of causality" of Barandes.
"The laws of this unistochastic process take the form not of differentiale quations, but of directed conditional probabilities, which have along history of admitting an interpretation as encoding causal relationships. From this perspective, quantum theory could be understood as a theory of microphysical causation par excellence."
-- https://arxiv.org/html/2402.16935v1
This sounds conceptually very similar to the constrast between system dynamics and agent based models. Because the point of that is also precisely the same, that the causal nature is best understood NOT at system level, but at the part-2-part (agent action) level; it's here the explanation of aggregate system level phenomena lies in this idea. Of course, with the caution, the "agent perspective", or agents actions, can be formulated as a kind of conditional probabilities, especially if you take the fictional external view, and views several agents from another perspective, then I think barandes perspective is even better. And it's a first step. Ie conditional upon the agents own best capabilities. This perspective is not explicit in Baranders work, but the tangent is interesting enough.
So in baranders view the causal understanding lies at the bayesian conditional probability level
I consider this as perhaps a simplified case of general agent perspective; simplified in the sense that one takes an "external perspective" of agents, and assume them to have a sort of hidden but real internal states, that explains their conditional probabilities. And this is fine as lone as one ignores the inferential requirements implixit in the "external perspectifve". And ignoring that IS I tink fine, if we ONLY wants to reinterpret QM, but when one tries to add gravity, i think this can't be ignored and things need to get more complex.
I will comment more as I listened to the other video
/Fredrik