Reply to superdeterminists on the hidden-variable formulation of
Invariant-set theory
- URL: http://arxiv.org/abs/2109.11109v1
- Date: Thu, 23 Sep 2021 02:37:58 GMT
- Title: Reply to superdeterminists on the hidden-variable formulation of
Invariant-set theory
- Authors: Indrajit Sen
- Abstract summary: In a recent article, Hance, Hossenfelder and Palmer have advanced arguments to show that the analysis of Invariant-set theory in a hidden-variable setting is wrong.
We explain here why these arguments are incorrect, and involve misunderstandings of the hidden-variable model in question and Bell's notion of local causality.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: In a recent article (arXiv:2108.08144), Hance, Hossenfelder and Palmer have
advanced arguments claiming to show that the analysis of Invariant-set theory
in a hidden-variable setting (arXiv:2107.04761) is wrong. We explain here why
these arguments are incorrect, and involve misunderstandings of the
hidden-variable model in question and Bell's notion of local causality.
Related papers
- Lorentz invariance and quantum mechanics [0.0]
Bohmian mechanics and spontaneous collapse models are theories that overcome the quantum measurement problem.
There are trivial ways to make space-time theories Lorentz invariant, but the challenge is to achieve what Bell dubbed serious Lorentz invariance''
arXiv Detail & Related papers (2024-02-24T18:33:19Z) - Invariant Causal Set Covering Machines [64.86459157191346]
Rule-based models, such as decision trees, appeal to practitioners due to their interpretable nature.
However, the learning algorithms that produce such models are often vulnerable to spurious associations and thus, they are not guaranteed to extract causally-relevant insights.
We propose Invariant Causal Set Covering Machines, an extension of the classical Set Covering Machine algorithm for conjunctions/disjunctions of binary-valued rules that provably avoids spurious associations.
arXiv Detail & Related papers (2023-06-07T20:52:01Z) - Properties of Invariant Set Theory [0.0]
Sen critiques a superdeterministic model of quantum physics, Invariant Set Theory, proposed by one of the authors.
We here detail multiple inaccuracies with Sen's arguments, notably that the hidden-variable model of quantum physics he uses to critique Invariant Set Theory bares no relation to Invariant Set Theory.
arXiv Detail & Related papers (2021-08-18T13:32:59Z) - Analysis of the superdeterministic Invariant-set theory in a
hidden-variable setting [0.0]
We build a hidden-variable model based on the Invariant-set theory proposal.
We critically analyse several aspects of the proposal using the model.
Our results lend further support to the view that superdeterminism is unlikely to solve the puzzle posed by the Bell correlations.
arXiv Detail & Related papers (2021-07-10T04:50:36Z) - Variational Causal Networks: Approximate Bayesian Inference over Causal
Structures [132.74509389517203]
We introduce a parametric variational family modelled by an autoregressive distribution over the space of discrete DAGs.
In experiments, we demonstrate that the proposed variational posterior is able to provide a good approximation of the true posterior.
arXiv Detail & Related papers (2021-06-14T17:52:49Z) - On the Unconditional Validity of J. von Neumann's Proof of the
Impossibility of Hidden Variables in Quantum Mechanics [0.0]
I show that Neumann's assumption of the linear additivity of the expectation values, even for incompatible (noncommuting) observables, is a necessary constraint.
I show that it is Bell's counter-example that is fundamentally flawed, being inconsistent with the factual mechanics.
I identify the uncertainty in the action as the reason for the irreducible dispersion, which implies that there are no dispersion-free ensembles at any scale of mechanics.
arXiv Detail & Related papers (2021-05-27T13:36:08Z) - Causal Expectation-Maximisation [70.45873402967297]
We show that causal inference is NP-hard even in models characterised by polytree-shaped graphs.
We introduce the causal EM algorithm to reconstruct the uncertainty about the latent variables from data about categorical manifest variables.
We argue that there appears to be an unnoticed limitation to the trending idea that counterfactual bounds can often be computed without knowledge of the structural equations.
arXiv Detail & Related papers (2020-11-04T10:25:13Z) - On L\'{e}on van Hove's 1952 article on the foundations of Quantum Field
Theory [0.0]
In 1952, L'eon van Hove published an article, in French, with the title Les difficult'es de divergences pour um modele particulier de champ quantifi'e''
arXiv Detail & Related papers (2020-10-05T17:59:06Z) - The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal
Sufficient Subsets [61.66584140190247]
We show that feature-based explanations pose problems even for explaining trivial models.
We show that two popular classes of explainers, Shapley explainers and minimal sufficient subsets explainers, target fundamentally different types of ground-truth explanations.
arXiv Detail & Related papers (2020-09-23T09:45:23Z) - On Localized Discrepancy for Domain Adaptation [146.4580736832752]
This paper studies the localized discrepancies defined on the hypothesis space after localization.
Their values will be different if we exchange the two domains, thus can reveal asymmetric transfer difficulties.
arXiv Detail & Related papers (2020-08-14T08:30:02Z) - Non-Boolean Hidden Variables model reproduces Quantum Mechanics'
predictions for Bell's experiment [91.3755431537592]
Theory aimed to violate Bell's inequalities must start by giving up Boolean logic.
"Hard" problem is to predict the time values when single particles are detected.
"Soft" problem is to explain the violation of Bell's inequalities within (non-Boolean) Local Realism.
arXiv Detail & Related papers (2020-05-20T21:46:35Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.