Tag Archives: Free Energy

Getting Started on Deep Learning with Python

  An Introduction to Deep Learning In Karl Friston’s wonderfully entitled paper ‘The history of the future of the Bayesian brain’, he recalls his working with Geoffrey Hinton, how Hinton emphasized Bayesian formulations and generative models, and how Friston developed … Continue reading

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Free Energy and Free Will

This posting is an additional part of the talk ‘Intelligence and the Brain’. Here, I tie together ideas from the talk about prediction with those concerning free will from the previous talk ‘Free Will/Free Wont’. In a dualist worldview, the … Continue reading

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Free Energy: Criticisms and Conjectures

This posting forms part of the talk ‘Intelligence and the Brain’. Here, I look at some criticisms of Karl Friston’s ‘Variational Free Energy’ theory and add some observations. 26. But Is It True? Argument: Friston’s ‘Variational Free Energy’ theory has … Continue reading

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Free Energy: Hierarchical Message Passing

This posting forms part of the talk ‘Intelligence and the Brain’. It follows on from: A Unified Theory of Intelligence in which the the brain is viewed as a hierarchy of predictors (see diagram below). Entropy, Intelligence and Life which explains … Continue reading

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Entropy, Intelligence and Life

This posting forms part of the talk ‘Intelligence and the Brain’. On its own, here, it  provides an as-simple-as-I-can-make-it introduction to the ideas underpinning Karl Friston’s ‘Variational Free Energy’ theory which link what the brain is doing to create intelligence to … Continue reading

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Scientific Creatures

In which I try to create a bigger picture of general intelligence by combining a number of different concepts. These concepts are: Ashby: W. Ross Ashby’s concept of ‘Intelligence Amplification’. Brooks: Rodney Brooks’s concept of the ‘Subsumption Architecture’. Clark: Andy … Continue reading

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