Does the MEM Model Explain the "Hard Problem" of Phenomenal Consciousness?

Abstract

This article addresses David Chalmers's hard problem of consciousness by asking why information processing is accompanied by a subjective 'what it is like'. Its point of departure is the distinction between intelligence and phenomenal consciousness: the achievements of contemporary artificial intelligence show that reasoning, planning, language, and the accurate description of emotions do not yet constitute evidence of feeling. The Motivated Emotional Mind (MEM) model extends Recurrent Processing Theory by integrating the receptor grounding of sensory modalities, interoception, homeostatic-allostatic regulation, semi-hierarchical representations called semblions, and re-entrant processing. According to MEM's central hypothesis, a phenomenal state is a dynamic, integrated biophysical configuration in which historically grounded sensory content is selected, recurrently stabilised, and coupled to the central representation of the organism's current state. Sensory maps determine the modal quality of experience, whereas interoception gives it bodily-affective and organism-centred anchoring. Semblions link sensory contents with memory, action, and regulatory significance. The mechanism of secondary perception explains how the top-down reinstatement of configurations in lower sensory maps can confer a phenomenal character on memories, mental images, dreams, and hallucinations. MEM thereby distinguishes unconscious feedforward processing from conscious reconstruction, as well as basic qualia from their subsequent recognition and description. On an identity-theoretic account, an appropriately organised biophysical state does not produce a separate quale but is the experience itself, apprehended from first- and third-person perspectives. The hard problem is thus reformulated as an empirical question concerning the necessary and sufficient conditions of phenomenality. The article proposes tests involving disruption of re-entry and interoceptive coupling, formalisation of semblion dynamics, and the construction of embodied artificial systems. MEM is presented as a falsifiable research programme whose full assessment requires experimental confirmation.