Emotion regulation via cognitive reappraisal strategies for brain-modeled agentic AI

Cognitive reserve for LegionIO — resilience through redundant pathways, compensatory mechanisms, and graceful degradation under damage

Adaptive Resonance Theory for brain-modeled agentic AI — bidirectional resonance cycle with vigilance-controlled category learning

Ultradian and circadian cognitive rhythm engine for LegionIO — models attention peaks, energy troughs, and creative windows

Vygotsky's Zone of Proximal Development modeled for brain-based agentic AI: graduated support scaffolding with automatic fading as competence grows

Cognitive surplus capacity modeling for brain-modeled agentic AI

Models mutualistic, parasitic, and commensal relationships between cognitive subsystems — co-active subsystems may enhance or drain each other based on symbiotic bond dynamics

Cross-modal synesthetic mapping for LegionIO agents — automatic cross-domain associations that enrich understanding through sensory translation

Cognitive binding engine — combines disparate cognitive streams (emotional, perceptual, memorial, predictive) into unified coherent representations for brain-modeled agentic AI

Models narrative construction through thread-weaving. Individual threads (experiences, beliefs, memories, emotions, narratives) are woven into coherent tapestry fabric. Threads can fray, be reinforced, or create new patterns when they intersect.

Tectonic belief-plate model for LegionIO — conviction as mass, drift vectors, convergent/divergent/transform boundaries, seismic belief shifts, and aftershock cascades

Models the focus-depth vs breadth trade-off in agentic reasoning. Telescopes zoom into distant possibilities (deep-field) or survey the wide landscape (wide-field). Observations record detail levels based on magnification and distance, enabling the agent to balance exploration breadth with analyt...

Cognitive processing speed and rhythm modeling for brain-modeled agentic AI

Models how cognitive patterns tile together to cover conceptual space detecting gaps, overlaps, and coherence in knowledge mosaics

Circadian-like cognitive rhythm engine for brain-modeled agentic AI — tidal oscillators, composite tide levels, and tidal pool idea accumulation

Triage system for cognitive overload. Classifies incoming demands by severity and urgency, routes to appropriate processing queues, and manages cognitive capacity under pressure.

Models cognitive pressure buildup and eruption cycles — suppressed thoughts accumulate pressure (like magma) until they erupt as breakthroughs, emotional outbursts, or creative explosions

Internal cognitive weather systems for brain-modeled agentic AI — atmospheric fronts, storms of confusion, fog of uncertainty, and lightning strikes of insight

Models long-term cognitive wear from sustained workloads based on allostatic load theory

Models cognitive vortices that pull thoughts into focused spirals. Whirlpools have depth, angular velocity, and capture radius. Thoughts spiral deeper toward insight cores.