Consciousness at the Intersection: A Model of Consciousness as the Product of Processing and Biological Need

Consciousness arises from the interaction between information processing and biological need, not from either alone. A mathematical model treats consciousness as the product of processing capacity and biological need, with processing declining as a power function once need exceeds a homeostatic threshold. The model predicts an inverted-U relationship between biological need and consciousness, with maximum consciousness near the homeostatic set point. Five testable predictions are derived, and the model is situated relative to Integrated Information Theory, Global Workspace Theory, and Higher-Order Theories. The framework suggests consciousness cannot be a fixed, transferable substance, and artificial general intelligence may require coupling information-processing systems to genuine biological-style needs.

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Abstract

This is an updated version of the previous preprint. This version includes revisions, refinements, and improvements to the theoretical framework and presentation of the proposed model of consciousness. This paper proposes that consciousness arises neither from pure information processing nor from pure biological need, but from their interaction. We formalize this intuition in a mathematical model in which consciousness is treated as the product of processing capacity and biological need, while processing declines as a power function once biological need exceeds a homeostatic threshold. The model predicts an inverted-U relationship between biological need and consciousness, with consciousness reaching its maximum near the homeostatic set point. We derive five testable predictions and situate the model in relation to major theories of consciousness, including Integrated Information Theory, Global Workspace Theory, and Higher-Order Theories. This revised version further develops the theoretical framework, clarifies the mathematical formulation, and improves the presentation of the proposed model. It also examines additional implications, including the possibility that consciousness cannot be understood as a fixed, transferable substance and that the development of artificial general intelligence may require coupling information-processing systems to genuine, consequential biological-style needs.