Alex Kurtz

The persistence of ordered experience in a quantum-branching universe raises fundamental questions about how continuity is maintained across multiple possible outcomes. The Frame Survival Model (FSM) is a theoretical framework grounded in quantum decoherence, and is applicable to any system—biological or artificial—capable of sustaining integrated, survival-compatible states. FSM models reality as a sequence of discrete “Hyperframes”—complete matter–energy configurations defined by quantum decoherence events. At each transition, a system either proceeds along a survival-compatible path or terminates its trajectory within that branch. When applied to consciousness, FSM formalizes subjective continuity as “threading” through a network of compatible Hyperframes, yielding an observer-relative path through the multiverse. The same formalism extends to other coherent, path-dependent processes, making FSM relevant to physics, information science, and the life sciences. By providing operational definitions for survival filtering, informational coherence, and frame-to-frame stability, FSM unifies continuity across domains and re-contextualizes longstanding paradoxes—including subjective death, quantum immortality, and identity persistence—without invoking new physics. It further suggests experimentally approachable implications, such as modulation of perceived time by changes in decoherence rates, positioning FSM as both a general continuity principle and a testable framework for applied fields such as cognitive neuroscience.

Independent researcher focused on theoretical models at the intersection of quantum mechanics, information theory, and consciousness studies. He earned his Bachelor Degree from Arizona State University in Communications with a Minor in Business and a Certificate of Leadership and Ethics in May 2024. Alex earned his Masters of Leadership Management from Thunderbird School of Global Management in June 2025. His current research interests include quantum foundations, subjective continuity, integrated information, and entropy-based measures of cognition.