CF-IIT (Computational Functionalist reading of IIT)

This paper's constructed computational functionalist analogue of IIT, positioned at Level 2.

Neighborhood — ranked by edge-count

paper

framework

Integrated Information Theory
extends
Tononi et al. framework quantifying consciousness via integration; provides mathematical tools for measuring agent complexity.

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

IIT is incompatible with computationalist functionalism because Phi is defined as intrinsic to physical causal structure, allowing two functionally identical systems to differ in consciousnessclaim0.792
CIMC's explicit rejection of IIT as operating outside the representationalist and functionalist framework
Computational Functionalismframework0.765
Hypothesis that some class of computations suffices for consciousness; central assumption for AI consciousness route.
Computationalist Functionalismframework0.748
Combined epistemological stance that everything knowable about systems including consciousness is a function of observable behaviors of finite state machines
Computational fMRImethod0.746
Application of active inference to fMRI data; cited as prior use of the framework
Consciousness Turing Test (c-TT)method0.744
Level 1 indicator test assessing whether behaviour is itself criterial of conscious behaviour.
ICS-PPT (Intrinsic Causal-Structure reading of PPT)framework0.737
This paper's Level 3 reinterpretation of predictive processing as physical reciprocal causal constraint.
We adopt computational functionalism as a working hypothesis.claim0.729
Assumption that implementing the right computations is necessary and sufficient for consciousness.
IIT 3.0framework0.729
Version 3.0 of IIT, used to compute Φmax and Conceptual Information (CI) from LLM representation networks.