This paper develops a naturalistic theory of consciousness grounded in four integrated components: a definition of life as cognition + need, a reinforcement theory of need formation, a theory of agency as computational intractability, and an account of phenomenal qualities as reinforcement signatures. Building on this foundation, I propose that phenomenal consciousness emerges when neural systems enable self-reinforcing integration of cognition and need, creating recursive feedback loops that generate the first-person perspective, subjective experience, and self-awareness.The central thesis: consciousness is not an additional property layered onto cognitive processing but the first-person character of neural systems executing symbolic self-reinforcement. When an organism can represent its own needs symbolically, evaluate whether it wants to want something, and modify its need structure through meta-cognitive reflection, this self-reinforcing integration necessarily produces phenomenal consciousness. The 'what it is like' of experience is the internal character of this recursive cognition-need integration process.Three core arguments establish this theory. The Neural Transformation Argument demonstrates that neural systems transform the cognition-need relationship from fixed coupling (biological zombies) to self-reinforcing loops (conscious minds). The Metacognitive Necessity Argument shows that systems with both meta-cognition and meta-need capacity necessarily develop first-person awareness. The Integration Argument reveals that binding cognition and need into unified workspace creates the phenomenal qualities that characterize conscious experience.This framework explains the transition from life to mind: bacteria and plants have cognition and need but lack neural self-reinforcement systems, hence are 'biological zombies'—alive but not conscious. Complex animals with neural architectures supporting symbolic reinforcement develop consciousness gradually as their self-modification capacities increase. The theory generates specific predictions about neural correlates, developmental trajectories, cross-species variations, and criteria for artificial consciousness, transforming consciousness from philosophical mystery into empirically tractable neuroscience.
Heng Liu (Sun,) studied this question.