Lucid dreaming for AI — self-aware dream processing with lucidity levels, reality testing, dream steering, and false awakening detection

Magnetic attraction and repulsion between ideas — polarity-driven cognitive clustering for LegionIO agentic AI

Tolman's cognitive map + O'Keefe/Moser place and grid cell theory for brain-modeled agentic AI

ATP-like cognitive energy system with metabolic cycles, catabolism, and anabolism for brain-modeled agentic AI

Mirror neuron simulation for LegionIO: observe, simulate, and build empathic resonance

Models ideas with mass (importance) and velocity (change rate). Heavy ideas resist change (inertia), reinforced ideas accelerate, friction slows unreinforced ideas. Based on Newtonian dynamics metaphor.

Models mosaic assembly: tesserae (individual cognitive fragments) placed into mosaics with pattern categories, grout strength for cohesion, coherence scoring, gap detection for missing pieces.

Models a mycelial network beneath conscious awareness: hyphae connect disparate knowledge domains, nutrients (insights) flow through the network, and fruiting bodies (creative breakthroughs) emerge at the surface.

Narrative arc detection in cognitive experience for LegionIO

Temporal emotional nostalgia bias for LegionIO agents — rosy retrospection, bittersweet memory detection, and warmth-weighted decision influence

Strategic externalization of cognitive tasks — offloading decisions, store trust, and retrieval tracking for brain-modeled agentic AI

Concept folding engine for the LegionIO cognitive architecture — complex ideas compressed through successive folds, crease patterns preserve memory of past folds, unfolding reveals hidden structure

Models the fossil record of the mind: extinct thought patterns, abandoned strategies, evolutionary dead-ends, and the geological layers of cognitive history.

Layered belief overwriting engine for LegionIO agents — traces of previous belief versions remain visible as ghost layers after supersession, like a medieval manuscript scraped and rewritten

Models oscillation between cognitive poles with amplitude, period, damping, and resonance detection

Phantom limb model for AI: ghost signals from removed capabilities fade over time as the agent adapts

Models synaptic plasticity with critical periods, pathway strengthening, and pruning

Spectral decomposition of complex ideas into band-specific components — white light in, rainbow out. Decompose ideas across abstraction wavelengths, attenuate and amplify components, then recompose synthesized understanding.

Models sinking patterns where overthinking causes deeper entanglement with struggle penalties and escape mechanics for brain-modeled AI agents

Cognitive quicksilver fluidity for LegionIO agentic architecture