1 year ago

science podcast free energy principle free energy free energy principle active inference active inference theory

Second participatory group discussion on the paper "The neural coding
framework for learning generative models" Alexander Ororbia & Daniel Kifer
(2022) https://www.nature.com/articles/s4146... "Convolutional Neural
Generative Coding: Scaling Predictive Coding to Natural Images" Alexander
Ororbia, Ankur Mali (2023) https://arxiv.org/abs/2211.12047 "Spiking neural
predictive coding for continually learning from data streams" Alexander
Ororbia (2023) https://www.sciencedirect.com/science... "CogNGen: Constructing
the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture"
Alexander Ororbia, M. Alex Kelly (2023)
https://escholarship.org/uc/item/35j3... https://arxiv.org/abs/2311.09589
[Submitted on 16 Nov 2023] Mortal Computation: A Foundation for Biomimetic
Intelligence Alexander Ororbia, Karl Friston This review motivates and
synthesizes research efforts in neuroscience-inspired artificial intelligence
and biomimetic computing in terms of mortal computation. Specifically, we
characterize the notion of mortality by recasting ideas in biophysics,
cybernetics, and cognitive science in terms of a theoretical foundation for
sentient behavior. We frame the mortal computation thesis through the Markov
blanket formalism and the circular causality entailed by inference, learning,
and selection. The ensuing framework -- underwritten by the free energy
principle -- could prove useful for guiding the construction of unconventional
connectionist computational systems, neuromorphic intelligence, and chimeric
agents, including sentient organoids, which stand to revolutionize the long-
term future of embodied, enactive artificial intelligence and cognition
research. Active Inference Institute information: Website:
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