Systems Modeling and Cognitive Audits for Hypercert Ecosystems

Catalog Row72

Citation KeyFriedman2022SystemsModelingCognitiveAudits072

Paper FolderAvailable

Platform availability

✅ Zenodo
⬜ GitHub
⬜ arXiv
⬜ OSF
⬜ HuggingFace
⬜ Software Heritage
⬜ PyPI
✅ Full documentation

Overview

Extracted from the local paper documentation when available.

We apply systems modeling and cognitive audits to Hypercert ecosystems for decentralized science (DeSci). Using the Active Entity Ontology for Science (AEOS) and Active Blockference tools, we analyze how Hypercerts—a primitive for public goods funding—can be integrated with Active Inference frameworks to improve scientific funding, evaluation, and incentive alignment in decentralized systems.

HypercertsDeScidecentralized scienceActive BlockferenceAEOScognitive auditspublic goods fundingsystems modeling

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

This document is a grant application to Protocol Labs, from Active Inference Institute (Active Blockference project)..
The grant was submitted in October 2022 and was not funded..
Learn more, get in touch, get involved, or fund us: https://www.activeinference.org/.

Methods / Techniques

Narrative analysis
Trust and integrity modeling

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2022. Systems Modeling and Cognitive Audits for Hypercert Ecosystems. Zenodo. DOI: 10.5281/zenodo.7626768. URL: https://doi.org/10.5281/zenodo.7626768.

Primary source Documentation Full Text BibTeX

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