Models qualia — the subjective phenomenal qualities of experience with vividness, valence, texture, and modality for the LegionIO architecture

Belief validation, evidence accumulation, and reality coherence for brain-modeled agentic AI

Metacognitive self-monitoring for brain-modeled agentic AI

Evaluates cognitive inputs by relevance (effect/effort ratio). High-effect low-effort inputs get attention; irrelevant inputs filtered. Based on Sperber & Wilson (1986) Relevance Theory.

Models resilience as the capacity to recover from setbacks and grow stronger from adversity

Computes internal reward signals from cognitive outcomes, tracks reward prediction error, and drives reinforcement learning

Unified salience network for brain-modeled agentic AI — integrates signals from all cognitive subsystems

Builds and maintains causal schemas — structured models of how things work, enabling explanation and counterfactual reasoning

Predictive self-model for LegionIO — capability tracking, knowledge domain modeling, calibration, and metacognitive introspection

Inner dialogue system for brain-modeled agentic AI — structured internal conversation via multiple cognitive voices

Tulving semantic memory store for brain-modeled agentic AI — concept storage, taxonomic relations (is_a, has_a, part_of), spreading activation retrieval, and knowledge consolidation with confidence-based decay.

Models spreading activation in semantic networks - priming one concept activates related concepts with distance-based decay for rapid associative retrieval.

Semantic satiation and habituation modeling for brain-modeled agentic AI

Models sensory filtering with habituation, sensitization, and gate control

Green & Swets' Signal Detection Theory engine for LegionIO: sensitivity (d') and response bias (criterion) modeling

Zwaan Event Indexing Model for brain-modeled agentic AI: tracks 5-dimensional situation models across narrative events

Models social roles, group membership, reputation, and collective behavior in multi-agent systems

Bandura's Social Cognitive Theory for LegionIO: vicarious learning via model observation and reproduction

Damasio's Somatic Marker Hypothesis for brain-modeled agentic AI decision-making

Johnson and Raye reality monitoring for LegionIO — tracking where information came from to maintain epistemic integrity