Overview
Extracted from the local paper documentation when available.
This paper formulates federated inference and belief sharing as a principled approach to distributed intelligence. By extending Active Inference to multi-agent settings, agents maintain local generative models while sharing beliefs through message passing to achieve collective inference. The framework addresses how agents can coordinate without sharing raw observations, preserving privacy while...
federated inferencebelief sharingActive Inferencedistributed intelligencemulti-agent systemsmessage passingcollective cognitionprivacy-preserving inference
Use Notes
Concise findings and methods pulled from README/SKILL documentation.
Citation
Plain-text citation for quick reuse.
Friedman, Daniel Ari. 2024. Federated inference and belief sharing. Neuroscience & Biobehavioral Reviews. DOI: 10.1016/j.neubiorev.2023.105500. URL: https://doi.org/10.1016/j.neubiorev.2023.105500.
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