SOURCE-LINKED INTELLIGENCE
SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval
This article presents SSAKG 2.0, an open-source software package for constructing and operating Structural Sequential Associative Knowledge Graphs (SSAKGs). An SSAKG represents objects as graph vertices and ordered sequences as structural patterns of graph connections. The resulting sparse graph is used as an associative memory in which complete sequences can be reconstructed from a partial, unordered context. Version 2.0 introduces new algorithms that exploit individual bits of computer memory to efficiently search graph connections. The package is implemented in Python, while performance-cri
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T20:31:56.000Z
First collected: 2026-09-21T05:51:54.566Z. This is not the publication date.