Multiscale Distributed Consciousness Hypothesis (MDCH)

Abstract

Version 1.0 Status This registration presents a theoretical hypothesis and research programme. It does not report experimental evidence demonstrating consciousness in plants, forests, insect colonies, ecosystems, or other distributed biological systems. No empirical result should be interpreted as predetermined by this registration. Scientific investigations of consciousness are naturally influenced by the organisms in which consciousness is most readily observed, especially humans and other animals with relatively rapid nervous systems. This may create an implicit observer-scale bias: candidate conscious systems are typically evaluated over spatial and temporal scales similar to those characteristic of animal nervous systems. The Multiscale Distributed Consciousness Hypothesis (MDCH) proposes that this assumption should be explicitly tested. The hypothesis does not claim that trees, forests, insect colonies, plant networks, or ecosystems are conscious. Instead, it proposes that the absence of behaviour recognisable as conscious on human timescales is not, by itself, sufficient evidence for the absence of consciousness in a system whose information processing may operate over radically different spatial and temporal scales. Biological systems already display large differences in temporal resolution. Animals differ in their ability to resolve rapidly changing sensory information, and distributed systems such as social-insect colonies can produce collective decisions through interactions among individuals without requiring a central controller. Plants also possess local and systemic signalling mechanisms involving electrical, chemical, hydraulic and molecular processes, some operating over substantial spatial distances within an organism. These observations establish multiscale biological information processing, but they do not establish phenomenal consciousness. MDCH therefore asks a narrower question: Could conventional tests for consciousness systematically fail when the integration timescale of a candidate system differs greatly from the timescale of the observer? The hypothesis introduces the concept of a Temporal Integration Window (TIW): the interval over which interactions within a system must be observed before a coherent higher-order state can be identified. Under MDCH, a system should not be evaluated exclusively at the timescale of its fastest components. Instead, researchers should determine whether information integration, memory, discrimination, recurrent feedback and system-level state transitions become detectable when the observational window is expanded or contracted appropriately. The framework is intentionally conservative. Complex behaviour, adaptation, signalling, memory and information integration are not treated as proof of subjective experience. MDCH predicts only that temporal and spatial scale should be treated as explicit variables in the scientific investigation of candidate conscious systems.