Representational Structure
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Defines conscious agents and a 'qualia kernel' Q = D·A·P that encodes probabilistic transitions among experiences; networks of agents yield Markov polytopes describing possible dynamics.
"We propose that consciousness is fundamental, and can be modeled as a network of interacting “conscious agents”. In this section, we briefly motivate and present a definition of conscious agents."
4. Conscious Agents, p. 9
This defines the modeling substrate—interacting agents—as the representational units, grounding later claims about structured encodings (qualia kernels and polytopes) that can inform how representational structure might be formalized for both brains and AI systems .
"The qualia kernel, Q, thus expresses the relation that conscious experience has to itself."
4. Conscious Agents, p. 11
By introducing Q as a formal object that maps experiences to experiences, the paper specifies an internal representational structure that could be compared to embedding spaces or latent codes in AI and to population codes in neuroscience .
Limitations: Conceptual and mathematical; no empirical neural or AI implementation is demonstrated, so mappings to biological codes or model latents remain conjectural.