Associative Immutable Memory (AIM)
Authors/Creators
Description
Associative Immutable Memory (AIM) addresses the fundamental mismatch between blockchain’s linear, append-only storage and the associative retrieval patterns required for cognitive systems or long-running collaborations. While blockchains provide integrity and auditability, they impose O(n) retrieval costs that make cue-based recall impractical. AIM introduces Ν (Nu), a derived neural-network-like index that overlays the immutable chain, providing weighted associative access while keeping the chain itself as the authoritative source of truth. The index strengthens edges through Hebbian learning, supports spreading activation for recall, and can be fully reconstructed from the chain if corrupted. AIM enables persistent LLM collaboration with immutable historical memory and efficient contextual recall.
Files
AIM_Whitepaper_v1.1.pdf
Files
(288.4 kB)
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Additional details
Additional titles
- Subtitle
- Neural Network Index Architecture for Blockchain-Persisted Context