Docs / Cognitive Layers (Attention, Curiosity, Drives)
Cognitive Layers (Attention, Curiosity, Drives)
Unified façade over MathNN attention/curiosity, RL intrinsic motivation, and cognitive-drive ODEs.
Stack
Salience (candidates) → Attention (curiosity-biased) → Focus top-k
↑ ↑
weather/hazards β_eff from drives + body
Curiosity (count + episodic mem) → intrinsic reward / shape
Drives ODE: attention, arousal, curiosity, fatigue, confidence
Commands
layers status|doctor|metrics|selftest
layers mode task|explore|safety|social
layers capacity 5 | beta 1.5
layers link body on|off | link drives on|off
layers seed | candidates | clear | add <id> <kind> [sal]
layers focus [query]
layers cycle [novelty] [success] [query]
layers drives | drives step <nov> <suc> | drives reset
layers curiosity bonus <key> | shape <r> <i>
layers attn-demo | curiosity-demo
layers rl <agent_id>
attention focus|mode|capacity|demo
curiosity status|beta|bonus|reset|demo|mode
layerskit status|selftest|focus|cycle
Coupling
| Input | Effect |
|---|---|
Mode explore |
Higher β, novelty bias |
Mode task |
Goal relevance bias |
Mode safety |
Safety candidates prioritized; low β |
| Drive curiosity/fatigue | Scales beta_eff |
| Body restorative/recover/safe | Suppresses exploration β |
| Body equilibrium | Calls layers cycle |
Building blocks reused
_Attention,_CuriosityAttention(MathNNLayers)_IntrinsicCuriosity(RLExplore)_CognitiveDrives(MathDynamics)_RLAgentNet::SetCuriosityScalevialayers rl- Weather storm risk as optional salience
Self-test
layers selftest
Generated from the project markdown docs on 2026-07-24. This is a static, self-contained site.