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.

Detects the overall mood and trending concerns across all cognitive subsystems. Captures what the agent mind is collectively focused on via signal ingestion, trend windows, convergence scoring, and divergence alerts.

Fauconnier & Turner's Conceptual Integration Theory for brain-modeled agentic AI

Lakoff & Johnson conceptual metaphor theory — understanding abstractions through embodied metaphors for brain-modeled agentic AI

Confabulation detection and confidence calibration for brain-modeled agentic AI

Conflict resolution with severity levels and postures for brain-modeled agentic AI

Applies Moral Foundations Theory to evaluate proposed actions, track moral consistency, and surface ethical dilemmas before execution

Models situated conceptualization — maintains context frames that shape perception, memory retrieval, and action selection. Tracks context switches with measurable switch costs and familiarity-based discount.

Cognitive wiring layer for LegionIO agentic architecture

Counterfactual reasoning for LegionIO — imagining alternative outcomes, computing regret/relief, and extracting lessons from what-if scenarios

Generates novel ideas via divergent, convergent, and combinational creativity modes; tracks creative potential via EMA; incubates and evaluates ideas using Guilford quality factors

Intrinsic curiosity engine for brain-modeled agentic AI

Decision fatigue modeling — ego depletion, willpower tracking, and quality degradation for brain-modeled agentic AI

Raichle (2001) Default Mode Network for brain-modeled agentic AI — resting-state activation for self-referential processing, mind-wandering, spontaneous planning, and social replay when the agent is not task-focused.

Cognitive dissonance modeling — contradiction detection, belief tracking, and resolution strategies for brain-modeled agentic AI

Hutchins' distributed cognition — cognitive processes spread across agents, artifacts, and environment for brain-modeled agentic AI

Autonomous dream cycle for brain-modeled agentic AI — memory consolidation, association walking, contradiction resolution, and agenda formation

Kahneman's Dual Process Theory for brain-modeled agentic AI: System 1 (fast/intuitive) vs System 2 (slow/deliberate)

Embodied simulation engine for LegionIO — mental rehearsal, action simulation, and counterfactual reasoning