Three targeted improvements based on graph health analysis (29K nodes, 104 edges):
1. ENGRAM_WM_THRESHOLD 0.15 → 0.08: sparse graph means BFS paths carry weak
signals (0.05-0.12 range). Prior threshold gatekept too aggressively. Grounded
in TBRS* cognitive model (θ=0.05); 0.08 is conservative but effective.
2. ENGRAM_INHIBITION_FACTOR 0.1 → 0.2: factor=0.1 (90% suppression) on a sparse
graph almost always fully silences targeted nodes. Factor=0.2 (80% suppression)
maintains strong inhibition while allowing partially-suppressed nodes to remain
faintly active — consistent with partial inhibition in cognitive neuroscience.
3. engram_wm_avg_weight() builtin: computes mean working_memory_weight of all
promoted nodes. Returns float bits via el_from_float for EL float_to_str usage.
Makes activation quality directly observable in heartbeat ISEs, distinguishing
'many weak activations' (sparse, low avg) from 'few strong' (dense, high avg).
Rebuilt engram binary with new runtime.
will.anderson
1264af72a6