Toward a Compositional Knowledge Architecture for a Shared Organizational Cortex

Authors: Andrew Miracle , Phyl Georgiou , Christine Okoth , Ese Monday

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Abstract: Organizations accumulate evidence in conversations, documents, decisions and relationships, but they act on interpretations: judgements assembled from several observations, resting on assumptions, and revised as circumstances change. Existing retrieval, knowledge graphs and agent memory keep the records and lose the interpretation. We propose a four-layer architecture, Signals, Domains, Claims and Dimensions, in which interpretations persist with their justifications and standing, a truth-maintenance network revises that standing as evidence changes, and validated, versioned Dimensions position interpretations on named axes. We call the result a shared organizational cortex. In a registered retrieval experiment, the Dimension term gains 0.028 nDCG@10 (p = 0.002). In system-level comparisons, the full retrieval configuration improves nDCG@10 by 0.081 over Signals-only and 0.053 over graph-augmented Signals-only retrieval (both reported p < 0.001). The architecture gives organizations a persistent, revisable basis for shared judgement.

Comments:

25 pages, 10 figures, 10 tables. Evaluation and sources in this https URL (tag registered-plan)

Subjects:

Artificial Intelligence (cs.AI) ; Information Retrieval (cs.IR)

Cite as:

arXiv:2611.05753 [cs.AI]

(or

arXiv:2611.05753v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2611.05753

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arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Andrew Miracle Mr [ view email ]

[v1]

Tue, 3 Nov 2026 23:50:38 UTC (317 KB)

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