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Graphs, Metagraphs, RAM, CPU

Author: Linas Vepstas
Year: 2023
Venue: technical report, v2.1.1 (later extended toward TODS submission)
Links: PDF in atomspace repository

Summary

A dense technical report on metagraph data structures and computation. It argues for content-addressed, self-normalizing symbolic structures; explains why immutability and copy-on-write follow naturally from shared subtrees; and connects metagraph assembly to typed connectors and sheaf-style reasoning. This is one of the deepest formal rationale documents behind modern Hyperon-era AtomSpace design.

Relevance to Hyperon

This report materially strengthens the theoretical basis for AtomSpace Full, especially the discussions of content addressing, structural sharing, and connector-based composition. It also provides background that helps explain why MORK-style substrates look the way they do even when the implementation details differ.

Key References

  • AtomSpace Full
  • MORK Full
  • +Papers
  • Reference+GitHub Repositories


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