Competitive Interactions as Architectural Principle for Macroscope Edge Intelligence

@techreport{cnl2026competitive, author = {}, title = {Competitive Interactions as Architectural Principle for Macroscope Edge Intelligence}, institution = {Canemah Nature Laboratory}, year = {2026}, number = {CNL-FN-2026-038}, month = {march}, url = {https://canemah.org/archive/document.php?id=CNL-FN-2026-038}, abstract = {Luppi et al. (2026) demonstrate that whole-brain computational models require both cooperative and competitive interactions to faithfully reproduce mammalian brain dynamics. Their finding that cooperative-only networks produce unrealistic synchronization lockup, while mixed cooperative-competitive architectures yield metastability, synergy, and hierarchical organization, has direct implications for the Macroscope: Next Generation (MNG) edge intelligence pipeline and SOMA multi-agent architecture. This field note maps the Luppi findings onto the MNG design, identifies where competitive interaction principles should inform cross-domain agent topology, and proposes modifications to the SOMA relational tension layer.} }