Systems Modeling and Cognitive Audits for Hypercert Ecosystems

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Citation KeyFriedman2022SystemsModelingCognitiveAudits072

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Overview

Extracted from the local paper documentation when available.

This paper discusses the development of frameworks and tools for applied Active Inference in the context of Decentralized Science (DeSci) and Hypercert ecosystems. It aims to enhance the flexibility and utility of Hypercerts through the creation of an Active Entity Ontology for Science (AEOS) and the implementation of Active Blockference.

HypercertsDeScidecentralized scienceActive BlockferenceAEOScognitive auditspublic goods fundingsystems modeling

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

Introduction of an Active Entity Ontology for Science (AEOS) to describe interactions within Hypercert ecosystems.
Development of Active Blockference for simulating cognitive processes in Hypercert ecosystems.
Creation of educational resources and tools for cognitive audits of Hypercert protocols.
Rigorous analysis of Hypercert funding mechanisms to enhance their efficacy in DeSci.

Methods / Techniques

Utilization of Active Inference frameworks for modeling interactions in Hypercert ecosystems.
Implementation of multi-agent simulations to explore cognitive and behavioral dynamics.
Engagement in informative interviews with stakeholders to understand the Hypercert landscape.
Development of entity diagrams and simulations tailored to researcher needs.

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2022. Systems Modeling and Cognitive Audits for Hypercert Ecosystems. Zenodo.

Primary source Documentation BibTeX