Upgrade 7-layer consciousness stack to 10-layer cognitive architecture#108
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Introduces a standalone `ladybug-contract` crate containing all pure data types for LadybugDB's cognitive address space: - Container (8192-bit HDC vector with XOR, Hamming, bundle ops) - CogRecord (metadata + N content containers) - MetaView/MetaViewMut (zero-copy metadata accessors) - CognitiveAddress + CognitiveDomain (cognitive codebook addressing) - OpCategory + OpType (CAM operation categories) - TruthValue (NARS truth functions: revision, deduction, induction, etc.) - QualiaChannel, layer constants, temporal types - DelegationRequest/Response (CogRecord-based delegation) - V1 legacy types (backward-compat wire format for crewai-rust/n8n-rs) The crate has no I/O, no storage, no network — just types, bit manipulation, and serde. This enables crewai-rust and n8n-rs to depend on the canonical types without pulling in the full ladybug runtime. https://claude.ai/code/session_01HPnDXh9S876c15QLgkDpcN
Replace the 7-layer consciousness stack with a unified 10-layer cognitive
architecture that eliminates explicit dispatch in favor of implicit
resonance-based routing via fingerprint similarity.
New modules:
- layer_stack.rs: 10-layer cognitive stack (L1:Recognition → L10:Crystallization)
with 7-wave parallel processing and LayerNode/LayerResult types
- satisfaction_gate.rs: Maslow-style continuous modulation where unsatisfied
lower layers raise higher layers' effective thresholds proportionally
- two_stroke.rs: 2-stroke engine (all layers fire every cycle against
previous-cycle metadata), ThinkingStyle self-selection via resonance,
NARS rule fingerprints (deduction/induction/abduction/analogy/revision),
crystallize/recover_modulation via XOR bind/unbind
- cognitive_kernel.rs: BindSpace bridge mapping layer outputs to kernel
operations (resonate, write, bundle, crystallize) with popcount
stacking early-exit at 1-2σ from centroid
- cortex.rs: resonance-gated NARS rule selection replacing hardcoded
apply_rule("deduction", ...) with gestalt fingerprint similarity
Updated modules:
- sieve.rs: L9 validation pipeline (NARS + Brier + XOR residual +
Dunning-Kruger detection for high-confidence/high-divergence)
- fabric.rs: 10-layer satisfaction gate, rule/style fingerprints,
Crystallization triangle driven by L8/L9/L10
- grammar_engine.rs: updated from SevenLayerNode to LayerNode
- seven_layer.rs: thin re-export wrapper for backward compat
- contract/layers.rs: 10-layer constants with deprecation aliases
- contract/legacy.rs: V1EnvelopeMetadata gains dominant_layer,
layer_activations, nars_frequency, calibration_error for
cross-agent awareness through shared metadata
https://claude.ai/code/session_01HPnDXh9S876c15QLgkDpcN
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Summary
This PR replaces the 7-layer consciousness stack with a comprehensive 10-layer cognitive architecture that spans single-agent perception (L1-L5) through multi-agent refinement (L6-L10). The new system introduces resonance-gated layer activation, XOR delta layers for borrow-safe state management, and a crystallization mechanism for learning.
Key Changes
New 10-Layer Cognitive Stack (
src/cognitive/layer_stack.rs)Core Infrastructure
cognitive_kernel.rs: Bridge mapping 10-layer outputs to BindSpace operations with causal rung mapping (Appraisal→See, Execution→Do, Contingency→Imagine)cortex.rs: XOR delta layer coordinator for borrow-safe state management (ground truth immutable, ephemeral deltas per writer)two_stroke.rs: Parallel 2-stroke engine where all layers fire every cycle against previous-cycle metadatasatisfaction_gate.rs: Maslow hierarchy for layer activation (lower layers must be satisfied before higher layers fire)awareness.rs: Borrow-safe blackboard separating read-only computation (grey matter) from mutable updates (white matter)sieve.rs: Socratic sieve with three gates (Truth/Good/Necessary) for self-modification validationThinking Style Integration
New Contract Crate (
crates/ladybug-contract/)Substrate types for LadybugDB with zero I/O dependencies:
container.rs: 8192-bit atomic unit with SIMD-friendly layoutrecord.rs: CogRecord (metadata + N content containers)address.rs: 64-bit CognitiveAddress with domain/subtype/index/hash encodingmeta.rs: Zero-copy metadata views (W0-W127 layout with NARS, DN rung, layer markers, qualia)codebook.rs: CAM operation categories (4096 ops across 16 categories)legacy.rs: V1 JSON backward compatibility for crewai-rust/n8n-rs wire formatnars.rs,geometry.rs,layers.rs,temporal.rs,delegation.rs,index_types.rsBackward Compatibility
seven_layer.rsconverted to wrapper re-exporting 10-layer stackIntegration Updates
fabric.rs: Updated to use 10-layer stack with satisfaction gategrammar_engine.rs: References updated to 10-layer architecturesubstrate.rs: Integrated with new cognitive kernelnars/mod.rs: Made inference module public for kernel accesscrates/ladybug-contractas memberNotable Implementation Details
&selfforever, writers get ephemeral&mutdeltashttps://claude.ai/code/session_01HPnDXh9S876c15QLgkDpcN