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  1. The δ-Quantum Machine, the k-Model, and the Non-ordinary Spatiality of Quantum Entities.Massimiliano Sassoli de Bianchi - 2013 - Foundations of Science 18 (1):11-41.
    The purpose of this article is threefold. Firstly, it aims to present, in an educational and non-technical fashion, the main ideas at the basis of Aerts’ creation-discovery view and hidden measurement approach : a fundamental explanatory framework whose importance, in this author’s view, has been seriously underappreciated by the physics community, despite its success in clarifying many conceptual challenges of quantum physics. Secondly, it aims to introduce a new quantum machine—that we call the δ quantum machine —which is able to (...)
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  • God May Not Play Dice, But Human Observers Surely Do.Massimiliano Sassoli de Bianchi - 2015 - Foundations of Science 20 (1):77-105.
    We investigate indeterminism in physical observations. For this, we introduce a distinction between genuinely indeterministic observational processes, and fully deterministic observational processes, which we analyze by drawing a parallel between the localization properties of microscopic entities, like electrons, and the lateralization properties of macroscopic entities, like simple elastic bands. We show that by removing the randomness incorporated in certain of our observational processes, acquiring over them a better control, we also alter these processes in such a radical way that in (...)
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  • Hidden Measurements, Hidden Variables and the Volume Representation of Transition Probabilities.Todd A. Oliynyk - 2005 - Foundations of Physics 35 (1):85-107.
    We construct, for any finite dimension n, a new hidden measurement model for quantum mechanics based on representing quantum transition probabilities by the volume of regions in projective Hilbert space. For n=2 our model is equivalent to the Aerts sphere model and serves as a generalization of it for dimensions n .≥ 3 We also show how to construct a hidden variables scheme based on hidden measurements and we discuss how joint distributions arise in our hidden variables scheme and their (...)
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