Cognitive self-regulation with setpoints, negative feedback loops, and allostatic load tracking

Scientific hypothesis testing cycle for brain-modeled agentic AI — Bayesian evidence accumulation, lifecycle management, competing hypotheses

Counterfactual simulation engine — mental rehearsal of actions before committing

Models prefrontal cortex inhibitory control: suppresses impulsive responses, delays gratification, and maintains self-regulation

Vygotsky inner speech for LegionIO — internal monologue, dialogic voices, rumination detection, and speech condensation

Somatic marker hypothesis for brain-modeled agentic AI — internal body-state monitoring, vital signal tracking, and somatic markers that bias decisions based on past outcomes associated with similar internal states.

Recognition-primed decision making for LegionIO — fast-and-frugal heuristics, pattern recognition, and compiled expertise

Tomasello's joint attention framework for LegionIO — shared focus between agents, mutual awareness tracking, referential communication, and collaborative attention management with focus decay and working-memory constraints.

Symbolic-to-linguistic grounding layer for brain-modeled agentic AI

Pre-exposure effect modeling for brain-modeled agentic AI — familiar stimuli resist new associations

Adapts the agent learning speed per domain based on prediction accuracy, surprise, and errors. Fast learning when predictions fail, slow consolidation when accurate — the agent learns how fast to learn.

Second-order Theory of Mind for brain-modeled agentic AI. Recursive belief attribution, false-belief detection, and social alignment modeling.

Forward mental simulation of action sequences — imagine a plan, predict step outcomes, evaluate before executing

Tulving's chronesthesia for LegionIO — retrospective re-experiencing and prospective pre-experiencing with autonoetic consciousness, vividness decay, and confabulation modeling

Second-order self-model assembly for brain-modeled agentic AI

Real-time monitoring of cognitive processes: feeling of knowing, judgment of learning, confidence calibration, error detection, and effort tracking for brain-modeled agentic AI

Meta-learning engine for brain-modeled agentic AI — tracks learning efficiency, adapts learning rates, and selects strategies based on past performance

Autonomous cognitive architecture expansion for LegionIO

Mirror neuron system for brain-modeled agentic AI — automatic behavioral observation, imitation learning with fidelity tracking, and empathic resonance from watching other agents act.

Persistent mood state that emerges from emotional patterns and biases cognitive processing