Algorithmic Idealism: What Should You Believe to Experience Next?

Updated and modified from the peer-reviewed and published version in Found. Phys. 56, 11 (2026). DOI:10.1007/s10701-026-00913-1arXiv:2412.02826.

Abstract

I argue for an approach to the Foundations of Physics that puts the question in the title center stage, rather than asking “what is the case in the world?”. This approach, algorithmic idealism, attempts to give a mathematically rigorous in-principle-answer to this question both in the usual empirical regime of physics and in some more exotic regimes within cosmology, philosophy, and science fiction (but soon perhaps real) technology. I begin by arguing that quantum theory, in its actual practice and in some interpretations, should be understood as telling an agent what they should expect to observe next (rather than what is the case), and that the difficulty of answering this former question from the usual “external” perspective is at the heart of persistent enigmas such as the Boltzmann brain problem, extended Wigner’s friend scenarios, Parfit’s teletransportation paradox, or our understanding of the simulation hypothesis. Algorithmic idealism is a conceptual framework, based on two postulates that admit several possible mathematical formalizations, cast in the language of algorithmic information theory. Here I give a non-technical description of this view and show how it dissolves the aforementioned enigmas: for example, it claims that you should never bet on being a Boltzmann brain regardless of how many there are, that shutting down computer simulations does not generally terminate its inhabitants, and it predicts the apparent embedding into an objective external world as an approximate description.

Table of Contents
  1. Prologue: When The World is Not Enough
  2. Quantum Probabilities as Objective Degrees of Epistemic Justification
  3. Restriction A: physics does not always tell agents what they should believe
  4. Algorithmic idealism in a nutshell
  5. Algorithmic information theory and the bit model
  6. Predictions of Algorithmic idealism
    • Consistency with physical predictions in standard scenarios
    • The external world as an emergent approximate phenomenon
    • More than one observer: emergent objective reality…
    • .. and its limitations: probabilistic changelings and Boltzmann brains
  7. Example: how to think of the simulation hypothesis
  8. Conclusions
  9. Acknowledgments
  10. References

1. Prologue: When the World is Not Enough

It is the year 2048. You can no longer feel your arms and legs, but you dream of the warm autumn sun breaking through colorful leaves. A blackbird calls from a distance and your daughter smiles at you, a picnic blanket, the shade of the trees. Only the flickering of the ceiling light and the flashing of the surveillance monitors bring you back to reality, and only temporarily, until the warm feeling of the pain medication makes your perception fade.

You are terminally ill. You only have a few days to live, at least that’s what the Doctor says. And yet this realization, in the bright moments between the effects of the morphine and drifting off to sleep, does not fill you with despair: you have taken precautions. Two years ago you signed a contract with AfterMath Ltd.: shortly after your death you will be scanned1This story and most of what follows assumes that agents (at least the ones we mean here, which is ultimately supposed to include humans) can in principle be described classically, and potentially with a finite amount of classical information. This is compatible with the fact that some biological processes are genuinely quantum-mechanical and / or continuous, but a possible intuition is that these details must ultimately be irrelevant for all that matters for us as persons (including conscious experience), since robust functioning seems to forbid dependence on too fine-grained details. Whether this assumption is well-justified is the subject of contemporary debate, with a vast body of literature on e.g. the (un)suitability of “mind uploading”. For a recent proposal against this assumption, claiming that quantum states are at the heart of consciousness, see e.g. G. M. D’Ariano and F. Faggin, Hard Problem and Free Will: An Information-Theoretical Approach, in Scardigli, F. (ed.), Artificial Intelligence Versus Natural Intelligence, Springer, Cham, 2022. by a team of specially trained neuroscientists with a particular machine, and your body will be destroyed in the process. A few days later, you will be digitally resurrected in a simulated world on a computer.

You have not made this decision lightly. You have spent years studying philosophy, ethics and neuroscience. In the end, it was thoughts like Bostrom’s fable2N. Bostrom, The Fable of the Dragon-Tyrant, J. Med. Ethics 31, 273-277 (2005). and the experimental results of AfterMath that convinced you to go for it. You are pretty sure that you are trying the right thing. And you are hopeful that it will go well.

And yet, you are afraid. You are afraid because you are human. The perception fades, the pain disappears, but the fear and the will to live remain. Your eyes are closed, but you feel the Doctor enter the room. You must have heard his feet scrubbing across the plastic floor of the hospital room, albeit unconsciously.

You clear your throat. At first you can’t get a word out, but then you manage to whisper quietly.

You: “Doctor, I’m so scared…” (coughing) “I know this is not your specialty, but… I need to know! Will I really wake up in the computer simulation?”

You instantly regret having asked, because you know the doctor very well. The doctor is a former physicist, not only a physician, but a physicalist by conviction. He is excellent in his job, but you don’t remember him as particularly empathetic.

Doctor: “Hahaha, you fool! You are asking a non-question! All there is to say is that there is a human being here now, and a computer running a simulation of that thing later. This is all there is to know about the facts of the world.”

The Doctor goes on to refill your infusion. “You’ve paid AfterMath to run that computer simulation, and this is what is going to happen. I don’t even understand what you are actually uncertain about? You know exactly what will be the case in the world!”

2. Quantum Probabilities as Objective Degrees of Epistemic Justification

To be continued.

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