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

Moral reasoning for LegionIO — Kohlberg stages, Haidt moral foundations, ethical framework evaluation, and dilemma resolution

Models motivational drive states — why the agent acts, what energizes behavior, and how approach vs avoidance tendencies operate