The loop, again
Consciousness is the inconvenient enigma. Most fields of inquiry hit it at the edge of their explanatory reach and quietly look away. The active inference research program — the free-energy people — keeps coming back to it.
Three conditions
Laukkonen, Friston, and Chandaria propose that active inference becomes a theory of consciousness, not just for consciousness, when three conditions are met.
- A generative world model — the epistemic field. This is the space of contents that can be known.
- Inferential competition — the mechanism by which a particular inference wins entry into the world model. The authors call this Bayesian binding.
- Epistemic depth — the property that the field is shared recurrently, hierarchically, throughout the system, so that the model contains the knowledge of its own existence.
The third condition is the one that does the heavy lifting. Without it the system has perception; with it the system has the strange property of knowing it is perceiving.
The hyper-model
The technical move is a hyper-model: a parameter set that controls precision-weighting across the entire generative hierarchy. Not the contents of inference, but the rules by which inference is weighted.
What I find interesting — beyond the theory itself — is the shape of the argument. They are not adding a new module called "consciousness." They are arguing that a particular recursive coupling of components already in the active-inference framework gives you the phenomena.
The loop is beautiful because it doesn't need a homunculus.
What I'm reading next
This chapter ends in the abstract. The book version of these notes will pick up at the introduction proper — the literature review of Tononi's IIT, Dehaene's Global Workspace, and the broadcasting metaphor — and then dig into the binding problem section.