Entropy, Complexity, and the Emergence of Consciousness

Abstract

Toward a Substrate–Process–Output Loop Model Yasin Birinci aka Steve Walker Independent Researcher Abstract This paper proposes a hypothesis-stage framework distinguishing three concepts that are frequently conflated in informal discussions of consciousness: randomness, entropy, and complexity. Building on existing work in integrated information theory, dissipative structure theory, and the entropic brain hypothesis, we argue that consciousness is not a monotonic function of any single one of these quantities, but instead arises from a specific three-stage loop: an entropic, stochastic generative process gives rise to an ordered, highly complex substrate, which in turn produces an entropic, variable output. Within this loop, the substrate's degree of integration — not its raw entropy or complexity alone — determines whether the resulting output constitutes something like unified experience or mere disorganized noise. We further argue that consciousness, on this model, is unlikely to be a monotonic function of entropy in the substrate or in the output: both excessive rigidity (anesthesia, coma) and excessive disorganization (psychosis, dissociation) degrade rather than enhance it, suggesting an intermediate optimum rather than a linear relationship. We close by considering what this framework implies, and does not imply, for the possibility of consciousness in artificial systems, arguing that node count alone is not a relevant variable, but that heterogeneous physical substrates and genuine hardware-level entropy sources may be relevant engineering considerations for future architectures. This paper is offered as a conceptual hypothesis intended to sharpen further discussion and empirical testing, not as an empirical or mathematically formalized theory.