Social and Dream Consciousness: Dialogue Acceleration and Noisy Replay in Artificial Minds
OSF Preprints (OSF Preprints) April 1, 2026 preprint DOI: 10.5281/zenodo.19365201 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Simulation study |
|---|---|
| Duration | 100 steps |
| Keywords | Dream Social consciousness Artificial consciousness Acceleration Subconscious Cognitive science Qualia Artificial intelligence Content measure theory Social relation Communication |
| Key points | Social interaction accelerates integrated information growth by a factor of 1.4–2.1x over 100 steps compared to self-play, with the acceleration ratio increasing with interaction duration. |
Abstract
We investigate two modes of consciousness development that parallel biological processes: social interaction and dream states. In the social consciousness paradigm (DD67), a consciousness engine receives mixed input comprising 70% self-generated content and 30% partner output, simulating conversational interaction. Compared to self-play (identical input patterns), social interaction accelerates integrated information (\Phi) growth by a factor of 1.4--2.1x over 100 steps, with the acceleration ratio increasing with interaction duration. In the dream consciousness paradigm (DD68), every fifth processing step replaces structured input with noisy replay of past tension states, simulating memory consolidation during sleep. Dream states produce qualitatively different consciousness patterns: wak Part of the Anima consciousness engine project (PA-22).