This paper examines the relationship between Informational State Dynamics (ISD) and physical law within an observer-relative framework. Physical laws are interpreted as stable regularities emerging from constrained informational state transitions rather than as fundamental, observer-independent prescriptions. The analysis clarifies how dynamical laws retain predictive power and empirical objectivity while remaining compatible with observer-relative state attribution. ISD thus provides a minimal informational foundation for physical law without modifying existing physical theories.
This paper examines the relationship between Informational State Dynamics (ISD) and physical law within an observer-relative framework. Physical laws are interpreted as stable regularities emerging from constrained informational state transitions rather than as fundamental, observer-independent prescriptions. The analysis clarifies how dynamical laws retain predictive power and empirical objectivity while remaining compatible with observer-relative state attribution. ISD thus provides a minimal informational foundation for physical law without modifying existing physical theories.
This paper introduces the Foundations of Informational State Dynamics (ISD), a minimal observer-relative framework in which physical and cognitive states are described as informational configurations constrained by evidence accessibility and record stability. Within ISD, state transitions correspond to informational conditioning rather than intrinsic physical dynamics, providing a unified account of definite outcomes, temporal ordering, and effective stabilization across observer-dependent phenomena. The framework is empirically neutral and fully compatible with standard physical theories, offering a foundational informational substrate that integrates quantum measurement, nonlocal correlations, and observer-relative descriptions without modifying the formalism of quantum mechanics.
Across physics, computation, and information science, observation is increasingly recognized as a non-neutral operation. However, a unified formal framework describing how observer-dependent structure emerges from information processing remains lacking. In this work, we introduce Informational State Dynamics (ISD), a substrate-independent framework in which observers are modeled as compression operators acting on an underlying informational substrate . Informational states arise as observer-relative compressions shaped by intrinsic informational loss and structural selectivity. We show that no observer can access a complete or unbiased representation of the informational substrate, and that non-equivalence between observers follows necessarily from asymmetries in compression. ISD is compatible with classical information theory and provides a minimal, falsifiable foundation for analyzing observer-dependent structure across physical systems, artificial agents, and abstract information-processing architectures.
Across physics, computation, and information science, observation is increasingly recognized as a non-neutral operation. However, a unified formulation describing how observer-dependent structure emerges from information processing remains lacking. In this work, we introduce Informational State Dynamics (ISD), a general framework in which observers are formally modeled as compression operators acting on an underlying informational substrate. Informational states are defined as observer-relative compressions shaped by intrinsic informational loss and structural selectivity. We show that no observer can access a complete or unbiased representation of the informational substrate, and that non-equivalence between observers arises as a necessary consequence of compression asymmetries. ISD is substrate-independent, compatible with classical information theory, and provides a minimal, falsifiable foundation for analyzing observer-dependent structure across physical systems, artificial agents, and abstract information processors.
This work proposes a minimal informational perspective on physical observability. Instead of treating spacetime and physical states as fundamentally given, the model suggests that what we observe emerges through a structural constraint that filters possible configurations into physically accessible ones. In this view, physical reality is not defined by dynamics alone, but by limits on what information can consistently appear as an observable state. The model introduces the idea that unobserved or excluded configurations are not lost arbitrarily, but contribute indirectly by shaping the structure within which observable states emerge. The framework does not introduce new forces or speculative entities. Rather, it provides a conceptual basis for interpreting physical constraints as consequences of informational selection. The approach is deliberately minimal and compatible with existing physical theories, serving as a foundational step toward more detailed theoretical and empirical developments.
This preprint presents a foundations-level analysis of physical description based on structural dependency rather than dynamical construction. Quantum mechanics, classical mechanics, and relativistic spacetime are treated as effective regimes arising under different structural conditions, rather than as competing ontologies. The analysis identifies persistence under interaction, irreversible constraint accumulation, stable relational structure, and interaction as minimal requirements for physical behaviour. Collapse is characterised as irreversible loss of compatibility between alternative continuations, without appeal to observers, stochastic dynamics, or additional postulates. Time is treated as structural ordering induced by exclusion, rather than as a primitive background parameter. No new dynamics are proposed and no empirically successful theories are modified. The aim is to clarify explanatory dependencies that underlie familiar physical regimes and to dissolve persistent foundational problems that arise when regime-level descriptions are misidentified as foundations.
The Informational Observer proposes a unified informational framework in which perception, measurement, and experienced reality emerge from the compression and reconstruction processes performed by observers. Instead of treating reality as an external, fixed entity, the model defines reality as the intersection of informational invariants preserved across multiple independent observers. Each biological, artificial, or simulated observer applies a compression operator to the underlying informational field and reconstructs an internal model shaped by priors, limitations, and energetic constraints.This framework explains perceptual variability across species, hallucinations in artificial and biological systems, observer-dependent measurement, and stability of physical laws. The model integrates cognitive science, AI interpretability, quantum contextuality, and simulation theory into a single informational principle, expanding the author’s Informational State Dynamics (ISD) framework. It introduces a general mechanism capable of unifying cross-domain phenomena through informational transformations. This work introduces The Informational Observer, a theoretical framework describing perception, measurement, and reality as the result of informational transformations performed by observing systems. The observer is conceptualized not as a passive receiver of sensory input, but as a compression system that selectively reduces the informational field into internal representations and reconstructs coherent experiential states. The model formalizes this process through two operators: Cᵢ (Compression): reduction of the informational field Ψᵢ (Reconstruction): predictive reconstruction of the compressed state Reality is defined as the set of informational invariants found in the intersection of reconstructions produced by different observers: Reality = ⋂ Ψᵢ(Cᵢ(I₀)) This perspective unifies phenomena that traditionally belong to different scientific domains: perceptual variability (human, animal, artificial systems) hallucinations and confabulation sensory filtering and cognitive priors observer-dependent physics and measurement nested or simulated universes informational emergence of the “self” The Informational Observer extends the author’s Informational State Dynamics (ISD) model and provides a foundation for future research in AI interpretability, cognitive modeling, neuroscientific theory, and information-based physics.