Active Inference · Paper · 2023

Generative Research Teams: Active Inference Compositions for Research and Meta-Science

Daniel Friedman, Jakub Smékal

Zenodo

Catalog Row57
Citation KeyFriedman2023GenerativeResearchTeamsActive057
Paper FolderAvailable
Platform availability

Overview

Extracted from the local paper documentation when available.

The Generative Research Team (GRT) is a synthesis of human, computational, and informational entities that employs Active Inference, systems engineering, and cognitive security to explore research topics. Roles within the GRT are modular and composable, allowing flexible resource and attention allocation. The GRT uses implementations blending human and computational capacities, with tools like...

Generative Research TeamActive Inferencegenerative modelcognitive modelingLLMsautonomous agentsopen sciencedecentralized scienceActive Blockferencemeta-prompting

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • The Generative Research Team (GRT) is a synthesis of human, computational, and informational entities that employs Active Inference, systems engineering, and cognitive security to explore research top
Methods / Techniques
  • Free energy minimization
  • Bayesian modeling and inference

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2023. Generative Research Teams: Active Inference Compositions for Research and Meta-Science. Zenodo. DOI: 10.5281/zenodo.8164666. URL: https://doi.org/10.5281/zenodo.8164666.

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