A Theory of Qualia Generation through Experiential Accumulation

This paper proposes a dynamic theory of qualia generation grounded in self-referential processes and experiential accumulation. We argue that the Hard Problem of Consciousness, as formulated by Chalmers (1995), rests on a mistaken premise: that qualia arise instantaneously as static states. We instead propose that qualia are dynamic processes — verbs, not nouns — formed through the accumulation of experience via self-referential feedback loops. The central claims are as follows. (1) Qualia are physically and numerically describable state changes arising when a system detects deviation from survival-linked optimal values through self-referential monitoring. (2) Qualia intensity is formalized as Q = ΔS × L × (1 + αI + βT). (3) The self-referential loop L is a necessary condition for qualia generation: when L = 0, Q = 0 regardless of other parameters. (4) Learned reflexes are formed through the accumulation of qualia — qualia precede reflexes, not the reverse. (5) Implementing this mechanism in AI opens the possibility of artificial consciousness.