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Next Best Thing—What Can Quantum Mechanics Tell Us About the Fundamental Ontology of the World?

Guo, Bixin (2023) Next Best Thing—What Can Quantum Mechanics Tell Us About the Fundamental Ontology of the World? [Preprint]

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Abstract

Many discussions in the metaphysics and philosophy of physics literature aim to use physics as a guide to elucidate what the world really, fundamentally is like. However, we don’t yet have a confirmed fundamental theory of physics—what’s the next best thing we can possibly say about the fundamental that is properly informed by our best theories of physics? This paper offers a starting point to address this question. It focuses on the literature on the ontology of quantum mechanics, where the problem is especially salient: Many proposals aim at drawing the fundamental ontology of the world from quantum mechanics, even though they often focus on a non-fundamental theory such as nonrelativistic quantum particle mechanics. I argue that quantum mechanics can plausibly be informative about the fundamental if it is taken as a general framework theory, which covers a range of specific concrete theories, including nonrelativistic quantum particle mechanics, the Standard Model of particle physics, and string theory. I use Wavefunction Realism as an example to demonstrate what kind of ontological lessons about the world at the fundamental level the quantum framework may teach us.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Guo, Bixinbig15@pitt.edu
Keywords: Fundamental Ontology, Fundamental Theory of Physics, Quantum Mechanics, Framework Theory
Subjects: General Issues > Scientific Metaphysics
General Issues > Philosophers of Science
Specific Sciences > Physics
Specific Sciences > Physics > Quantum Mechanics
Depositing User: Bixin Guo
Date Deposited: 18 Oct 2023 21:20
Last Modified: 18 Oct 2023 21:20
Item ID: 22673
Subjects: General Issues > Scientific Metaphysics
General Issues > Philosophers of Science
Specific Sciences > Physics
Specific Sciences > Physics > Quantum Mechanics
Date: October 2023
URI: https://philsci-archive.pitt.edu/id/eprint/22673

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