Old Revisions These are the older revisons of the current document. To revert to an old revision, select it from below, click Edit this page and save it. 2026/05/21 06:29 bib:albantakis2023computing – [Steelman] kymki -2 B (current) 2026/01/29 08:47 bib:albantakis2023computing – [Albantakis et al. (2023) — QM re-formulation and failure modes] kymki +85 B 2026/01/29 08:47 bib:albantakis2023computing – [Albantakis et al. (2023) — QM re-formulation and failure modes] kymki +198 B 2026/01/29 08:45 bib:albantakis2023computing – [Albantakis et al. (2023) — QM re-formulation and failure modes] kymki -68 B 2026/01/28 14:58 bib:albantakis2023computing – [BibTeX] kymki +4 B 2026/01/28 14:55 bib:albantakis2023computing – kymki +1.4 KB 2026/01/28 14:00 bib:albantakis2023computing – kymki -4.2 KB 2026/01/28 10:47 bib:albantakis2023computing – [3.7 Plain-language translation (no IIT terms) with the full math pipeline] kymki -48 B 2026/01/28 10:03 bib:albantakis2023computing – kymki +35 B 2026/01/28 10:02 bib:albantakis2023computing – [3.7 Plain-language translation (no IIT terms)] kymki +3.9 KB 2026/01/28 09:46 bib:albantakis2023computing – [3.6 Optimization: MIP and “best” purview] kymki -1 B 2026/01/28 08:12 bib:albantakis2023computing – kymki -123 B 2026/01/28 08:10 bib:albantakis2023computing – [3. What is “integrated information” here in plain QM terms?] kymki +4.8 KB 2026/01/28 07:59 bib:albantakis2023computing – [3. What is “integrated information” here in plain QM terms?] kymki -1 B 2026/01/28 07:56 bib:albantakis2023computing – [2. Their information measure is a max-eigenvalue score against a maximally mixed baseline] kymki +35 B 2026/01/28 07:54 bib:albantakis2023computing – [6. Minimal “one-line” summary] kymki -34 B 2026/01/28 07:52 bib:albantakis2023computing – [4.3 Energy conservation / Hamiltonian structure is not enforced] kymki +111 B 2026/01/28 07:49 bib:albantakis2023computing – [3. What is “integrated information” here in plain QM terms?] kymki +3 B 2026/01/28 07:48 bib:albantakis2023computing – [1.2 Their multi-node “discount extraneous correlations” step is an entanglement-cluster factorization] kymki -77 B 2026/01/28 07:48 bib:albantakis2023computing – [1.2 Their multi-node “discount extraneous correlations” step is an entanglement-cluster factorization] kymki +16 B Show differences between selected revisionsless recent >>