https://github.com/biaslab/ai_workshop_2020
Code to run potential based agents and generate figures for the submission to the 2020 Workshop on Active Inference
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (4.5%) to scientific vocabulary
Repository
Code to run potential based agents and generate figures for the submission to the 2020 Workshop on Active Inference
Basic Info
- Host: GitHub
- Owner: biaslab
- License: gpl-3.0
- Language: Julia
- Default Branch: master
- Size: 6.66 MB
Statistics
- Stars: 6
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
A Worked Example of Fokker-Planck Based Active Inference
This repo contains the code necessary to reproduce the figures and results from Koudahl & de Vries, 'A Worked Example of Fokker-Planck Based Active Inference', as published at IWAI 2020. The code is written in large parts to be consistent with the notation in the paper and to function as a didactic tool for understanding the NESS interpretation of the Free Energy Principle. As such it is not an optimised implementation.
If you find this repo useful, please cite the paper :)
Owner
- Name: BIASlab
- Login: biaslab
- Kind: organization
- Email: info@biaslab.org
- Location: Eindhoven, the Netherlands
- Website: http://biaslab.org
- Repositories: 47
- Profile: https://github.com/biaslab
Bayesian Intelligent Autonomous Systems lab
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Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| MagnusKoudahl | m****l@g****m | 16 |
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Last synced: about 1 year ago
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