L6 Data Agents: From Individual Intelligence to Collective Autonomy

• Dimas Cassimiro Nascimento UFAPE
• Daliton da Silva UFAPE

DOI: https://doi.org/10.5753/eniac.2026.30736

Resumo

We introduce Level 6 (L6) Data Agents, a framework in which collective autonomy emerges from structured interactions among agents under an adaptive algorithmic protocol. The framework incorporates a reputation-driven mechanism, where agents accumulate scores based on the quality and impact of their contributions, guiding selection and propagation. We also propose an iterative algorithm that combines evaluation, reputation updating, and adaptation, through which innovation emerges as a collective phenomenon. Additionally, a dynamic consensus threshold adapts to system performance, balancing novelty search and refinement and enabling robust and scalable collective autonomy.

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