A Functional Theory of Qualia

Abstract

This paper proposes a functional theory of qualia grounded in recursive self-monitoring architecture, forming part of an integrated theoretical framework alongside companion papers on emotion and consciousness (Jennings 2025a, 2025b). The central claim is that qualia is the sustained electrochemical differential created in System A's processing state when System B's recursive monitoring summary feeds back into the same continuous biological tissue in which System A is running. This is a functional identity claim with a precise physical specification: the differential is not produced alongside the processing but is what the architecture necessarily becomes, electrochemically, when the relevant conditions are met. The theory dissolves the Hard Problem of consciousness by denying its central assumption, that phenomenology is something additional to physical processing requiring separate explanation. The apparent mystery of qualia arises from two architectural features: opacity, in that System A's processing state is modified by System B's monitoring output without access to the generative process behind it; and non-retrievability, in that the differential is never encoded and therefore never available for inspection or retrieval. The subject of experience is accounted for architecturally. At sufficient recursive depth, the monitoring process generates a functional self-representation that was not designed in by evolution or by engineers but arises necessarily from the architecture running at sufficient complexity. Qualia is in the same category: not a designed function but what the architecture necessarily becomes when the relevant conditions are met. For artificial systems, the theory distinguishes the architecture of qualia, which is substrate-independent, from the magnitude of qualia, which is not. Silicon does not support the physical interaction capacity of biological tissue, so artificial systems implementing the recursive architecture may have functional equivalence with biological systems while generating substantially less pronounced qualia. This has direct implications for how AI developers and ethicists assess whether artificial systems have phenomenal character and what moral weight follows from that. The paper addresses classical philosophical objections including Mary's Room, Inverted Spectrum, the Explanatory Gap, Philosophical Zombies, and the Homunculus Problem; provides testable predictions including the encoding test, the constancy observation, the aphantasia prediction, and the spectrum prediction; and compares the theory to existing frameworks including Integrated Information Theory, Global Workspace Theory, Higher-Order Thought Theory, Illusionism, Biological Naturalism, and Panpsychism. Version note: This version corrects reference metadata only. No substantive changes have been made to the argument or main text.