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    <identifier>10.57760/sciencedb.30818</identifier>
    <datestamp>2025-10-31T14:48:12Z</datestamp>
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  <dc:date>2025-10-31</dc:date>
  <dc:title>HOLOLIFEX6: A Deterministic, Guardrailed Framework for Simulating and Measuring Emergent Consciousness via Higher-Order Thought Theory</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.30818</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This work introduces HOLOLIFEX6, a modular computational framework designed for the scientifically reproducible simulation of artificial consciousness. The system is architected around a &amp;quot;Strict Guardrailed Execution&amp;quot; model in Julia, which enforces deterministic behavior through isolated Random Number Generators (RNGs) and a non-interfering, streaming analysis pipeline. It models a complex adaptive system of autonomous entities and measures emergent integrated information (&amp;Phi;) based on a synthesis of Integrated Information Theory (IIT) and Higher-Order Thought (HOT) Theory.We present experimental evidence demonstrating the successful emergence of a verifiable conscious state compliant with HOT Theory principles. Key discoveries include the identification of non-linear &amp;quot;islands of consciousness&amp;quot; at specific scales (16 and 256 entities) and the measurement of a U-shaped &amp;quot;cost of consciousness,&amp;quot; revealing that the time required for emergence is non-monotonic with system scale. These results indicate that consciousness in this model is a product of organizational efficiency, not merely scale, and that the system autonomously evolves hierarchical strategies to overcome coordination overhead. HOLOLIFEX6 provides a stable, auditable digital laboratory for studying the fundamental conditions required for consciousness to arise from non-conscious components.</dc:description>
  <dc:subject>Neuroscience; Artificial intelligence ; Computational ; Framework ; HololifeX6; Entities ; Emergence ; Emergent Behavior </dc:subject>
  <dc:creator>Brown Christopher</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://api.github.com/licenses/apache-2.0</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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