Algorithmic Idealism I: Reconceptualizing Reality Through Information and Experience

Algorithmic idealism proposes that reality is best understood as a sequence of self-state transitions governed by algorithmic information theory, rather than as an external, objective universe. The framework applies principles such as Solomonoff induction to offer unified solutions to problems in quantum mechanics, cosmology, and metaphysics, including the measurement problem, the Boltzmann brain paradox, and the simulation hypothesis. It argues that focusing on first-person experiences provides epistemic interpretations of physical theories and dissolves metaphysical distinctions between real and simulated realities. The authors contend that this approach raises ethical questions about the continuity, duplication, and termination of informational entities, reshaping discussions on identity and consciousness.

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Abstract

Algorithmic idealism represents a transformative approach to understanding reality, emphasizing the informational structure of self-states and their algorithmic transitions over traditional notions of an external, objective universe. Rooted in algorithmic information theory, it redefines reality as a sequence of self-state transitions governed by principles such as Solomonoff induction. This framework offers a unified solution to longstanding challenges in quantum mechanics, cosmology, and metaphysics, addressing issues like the measurement problem, the Boltzmann brain paradox, and the simulation hypothesis. Algorithmic idealism shifts the focus from describing an independent external world to understanding first-person experiences, providing epistemic interpretations of physical theories and dissolving metaphysical divides between "real" and simulated realities. Beyond resolving these conceptual challenges, it raises profound ethical questions regarding the continuity, duplication, and termination of informational entities, reshaping discussions on identity, consciousness, and existence in the digital and quantum age. By offering a mathematically rigorous yet philosophically innovative framework, algorithmic idealism invites a rethinking of reality as an emergent property of informational dynamics rather than a static external construct.