Knowledge engineers, information scientists, researchers, and contributors working on structured knowledge resources.

Knowledge Engineering

Building the Active Inference Institute's knowledge infrastructure, public frontend, and literature meta-analysis.

Lead: Virginia Bleu Knight

Knowledge Engineering develops and maintains the public knowledge infrastructure for the Active Inference Institute, including the public frontend, literature meta-analysis, and organizational knowledge systems. The project connects Institute outputs to the broader literature and makes them machine-readable and navigable.

Overview

Knowledge Engineering builds and maintains the structured knowledge layer of the Institute. This includes the public-facing knowledge frontend, systematic literature meta-analysis for Active Inference research, organizational knowledge graphs, and tools for navigating the growing body of Active Inference work.

Past Work

The project has produced a public frontend and literature meta-analysis accessible from the end of 2022, published as "The Free Energy Principle & Active Inference: a Systematic Literature Analysis" — a citation analysis of the Free Energy Principle and Active Inference literature, with an emphasis on works by Karl Friston, combining automated citation-network analysis with manual annotation of a subset of full-text papers. The work supports the Institute's mission of making Active Inference knowledge findable, reusable, and cumulative.

Participate

Contributors with backgrounds in knowledge representation, information science, ontology, natural language processing, or library science are welcome alongside Active Inference researchers.

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GitHub organization

Audience: Developer

Public GitHub organization for Institute repositories and open-source work.

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Knowledge-Engineering

Audience: Developer

Knowledge engineering notebooks and infrastructure for public Institute projects.

Jupyter Notebook / 5 stars / updated 2026-05-29

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