Transcript of Chris Fields, "Physics as Information Processing" course in 2023
Fields, Chris; Aguirre, Ander; Friedman, Daniel Ari; Balzan, Francesco; Berger, Ross; Draguta, David; Guénin-Carlut, Avel; +9 Authors
Fields, Chris; Aguirre, Ander; Friedman, Daniel Ari; Balzan, Francesco; Berger, Ross; Draguta, David; Guénin-Carlut, Avel; Hurtado, Ana Magdelena; Knight, V. Bleu; Koles, Kate; Neophytou, Haris; Prior, Corby; Tickles, Dean; Tennant, Ian; Tolchinsky, Alexey; Active Inference Institute;
Transcript of Chris Fields, "Physics as Information Processing" course in 2023
This resource is the transcript of the course "Physics as Information Processing" course, taught by Chris Fields in 2023 at the Active Inference Institute. There are 6 lectures, alternating with 6 discussions, for a total of 12 sessions. The PDF presented here is a lightly edited/improved version of an automated transcription, with added images. There may be inaccuracies in the transcription, please verify any quotations with the source materials. The most current version of the transcript can be found in the Active Inference Journal repository.
- Arizona State University United States
- University of California, Davis United States
- The Ohio State University United States
- George Washington University United States
- University of Sussex United Kingdom
Free Energy Principle, Information, Physics, Active Inference, Quantum
Free Energy Principle, Information, Physics, Active Inference, Quantum
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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