In this episode of Active Inference Insights, we welcome our first mathematician onto the show: Lance Da Costa. If you’re into Langevins, Fokker-Plancks, solenoidals and Fisher information metric tensors, this one is for you. However, if all that terrifies you to high heaven, don’t fret; Lance and Darius also explore eco-niche modelling, temporality, metacognition and far more in this deep dive into cutting-edge Active Inference theory.
Lance Da Costa
https://www.lancelotdacosta.com
https://scholar.google.com/citations?user=PCHqHCsAAAAJ&hl=en
https://twitter.com/lancelotdacosta?lang=en
Darius Parvizi-Wayne
https://twitter.com/dparviziwayne
https://www.researchgate.net/profile/Darius-Parvizi-Wayne
Active Inference Insititute
https://www.activeinference.org
https://twitter.com/InferenceActive
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https://www.youtube.com/watch?v=kLLMB91DMPA
https://www.frontiersin.org/articles/10.3389/fpsyg.2022.783694/full
Therapeutic Alliance as Active Inference: The Role of Therapeutic Touch and Synchrony, 2022
Zoe McParlin, Francesco Cerritelli, Karl J. Friston and Jorge E. Esteves
First participatory group discussion on the paper.
https://activeinference.org/
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#ActiveInference #FreeEnergyPrinciple #ActInfStream #ActiveInferenceLab #Consciousness #ActiveInference #ActInf #EcoEvoDevo #Evolution #Communication #reductionism #Cybernetics #holism #systems #machinelearning #ml #ai #complexity #enactivism #enactive #embodied #ecology #variational #niche #constructivism #nicheconstruction #philosophy #physics #metaphysics #markov #blanket #markovblanket
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https://www.youtube.com/watch?v=y1vtKYzVUaY
Jonathan Gorard
“A computational perspective on observation and cognition”
It has become increasingly clear that a fully computational description of reality must somehow account for the relative computational sophistication of observers (including their processes of measurement, analysis and cognition) and the natural systems that they observe. An ongoing research program, based upon the mathematical formalism first set out in https://arxiv.org/abs/2301.04690, seeks to use methods from category theory and topos theory to construct a purely compositional version of traditional computational and algorithmic complexity theory, within which an algebraic description of the tradeoff between observer vs. system complexity may be developed. It is claimed that this formalism has implications for the computational foundations of physics, mathematics, and potentially many other fields.
Active Inference Institute information:
Website: https://activeinference.org/
Twitter: https://twitter.com/InferenceActive
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https://www.youtube.com/watch?v=I3rhsT-8isk
Course materials
https://coda.io/@active-inference-institute/fields-physics-2023
More information
https://www.activeinference.org/education/Physics-Fields-2023
“Physics as Information Processing”
Course taught by Chris Fields
Course assistant is Ander Aguirre
Hosted during 2023 by the Active Inference Institute
Active Inference Institute information:
Website: https://activeinference.org/
Twitter: https://twitter.com/InferenceActive
Discord: https://discord.gg/8VNKNp4jtx
YouTube: https://www.youtube.com/c/ActiveInference/
Active Inference Livestreams: https://coda.io/@active-inference-institute/livestreams
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https://www.youtube.com/watch?v=hOto96Q8sYQ