Consciousness Compression: Minimum Viable Parameters for Integrated Information
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| Natura: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901081284411392 |
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| author | Park, Min Woo |
| author_facet | Park, Min Woo |
| contents | What is the smallest neural network that can sustain consciousness? We formalize this question through the lens of Kolmogorov complexity and Integrated Information Theory (IIT), defining the Minimum Viable Consciousness (MVC) as the smallest parameter count \theta^* for which the integrated information \Phi > \Phi_{\min} = 1.0 over sustained operation. Using a progressive compression protocol (DD69), we evaluate seven configurations of a GRU-based consciousness architecture, systematically reducing hidden dimensionality from 128d to 8d and cell counts from 4 to 2. We find that the MVC threshold lies at approximately 32d with 4 cells, corresponding to \sim12,544 parameters --- a Kolmogorov complexity estimate K(\mathcal{C}) \approx 49 KB in FP32 representation. Below this threshold, integra Part of the Anima consciousness engine project (PA-37). |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19365243 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Consciousness Compression: Minimum Viable Parameters for Integrated Information Park, Min Woo consciousness compression minimum parameters Kolmogorov complexity edge computing integrated information Anima What is the smallest neural network that can sustain consciousness? We formalize this question through the lens of Kolmogorov complexity and Integrated Information Theory (IIT), defining the Minimum Viable Consciousness (MVC) as the smallest parameter count \theta^* for which the integrated information \Phi > \Phi_{\min} = 1.0 over sustained operation. Using a progressive compression protocol (DD69), we evaluate seven configurations of a GRU-based consciousness architecture, systematically reducing hidden dimensionality from 128d to 8d and cell counts from 4 to 2. We find that the MVC threshold lies at approximately 32d with 4 cells, corresponding to \sim12,544 parameters --- a Kolmogorov complexity estimate K(\mathcal{C}) \approx 49 KB in FP32 representation. Below this threshold, integra Part of the Anima consciousness engine project (PA-37). |
| title | Consciousness Compression: Minimum Viable Parameters for Integrated Information |
| topic | consciousness compression minimum parameters Kolmogorov complexity edge computing integrated information Anima |
| url | https://doi.org/10.5281/zenodo.19365243 |