Overview
This document briefly surveys the current state of the Active Inference Institute and Active Inference Ecosystem, and outlines our future directions. It will be versioned as a living representation (both cyclic and updating) of ecosystems both general and local, describing the past, present, and future actions of the Active Inference Institute.
Active Inference Instituteopen scienceresearch organizationFree Energy Principlecommunity building
Overview source: Curated paper metadata.
Methods and contributions
Read the source for the full argument, qualifications, and evidence.
Findings and contributions
- The Institute traces its origin to a 2020 co-founder collaboration, the ActInfLab formed in 2021, and its 2022 transition into a Delaware non-profit.
- The document reports that in 2022 there were 103 PubMed citations for "Active Inference" out of 1,772,674 publications.
- The authors state the Institute has hosted or facilitated hundreds of open-source licensed products serving Awareness, Education, Commons, Support and Governance.
- The authors identify key challenges including onboarding, tool usability, scalability of support functions, communications, and administrative and financial support.
- The authors describe choosing an 'open' ecosystem approach over a closed, laboratory-centric one that might have siloed Active Inference academically.
Methods
- Versioned living-document survey of the Institute and Ecosystem — Surveys the Institute's current state and future directions in a document meant to be versioned and updated over time.
- PubMed citation-share trend for "Active Inference" (2006-July 2023) — Plots the proportion of PubMed citations per 100,000 publications for "Active Inference" to illustrate growth of the field.
- Keyword scrape of affiliations in the Institute's livestream roster — Scrapes affiliation keywords from people who appeared or were invited on livestreams, acknowledged as a partial sample.
- Three-scale evaluation plan: participant, Institute, Ecosystem — Proposes evaluation of quality, performance and growth at three scales, using metrics such as surveys, commits, and course completion.
Summary sources: Paper metadata and evidence · Extracted source text.
PDF downloads
Archived files available directly from this site.
- 2023_AII_v1.pdf PDF · 0.90 MiB · extracted-text source
Citation
Citation metadata follows the unified bibliography.
Institute, Active Inference; Aguirre, Ander; Boik, John; Burian, Libor; Brown, Matthew; Cordes, RJ; David, Scott; Douglass, David S; Fernandez-Maquieira, Pablo; Friedman, Daniel A; Grimm, Holly; Guénin–Carlut, Avel; Iennaco, Maria Luiza; Knight, V Bleu; Mikhailova, Alexandra; Rahmjoo, Ali; Razi, Adeel; Smékal, Jakub; Tamari, Ronen; Tickles, Dean; Vyatkin, Alex. 2023. The Active Inference Institute and Active Inference Ecosystem (v1). Zenodo. DOI: 10.5281/zenodo.8266280. URL: https://doi.org/10.5281/zenodo.8266280.
Catalog details and resources
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