Available, – Open Access – free to download – great reading …
Active Inference: The Free Energy Principle in Mind, Brain, and Behavior
By Thomas Parr, Giovanni Pezzulo, Karl J. Friston
The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines.
Active inference is a way of understanding sentient behavior—a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains.
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6 responses to “Active Inference – The book”
[…] Also on my blog – a while ago – is a reference on how during their lives humans constantly interact with the physical environment, as well as with themselves and others.World model learning and inference are crucial concepts in brain and cognitive science, as well as in AI and robotics. The outstanding challenges of building a generalpurpose AI needs world modelling and probabilistic inference, needed to realise a brain-like artificial intelligence that can interact naturally with the real world and our society. The interaction mentioned, is modeled based on the priciples of Free Energy & Active Inference […]
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[…] is het idee dat de hersenen een ‘inferentie-engine’ (Active Inference / AI) zijn die probeert ‘voorspellingsfouten’ te minimaliseren. Wat bedoeld wordt met […]
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[…] First:Active Inference , a sentient behaviour theory, builds on the free energy principle. FEP implies a coupling between the internal and external states of a system that is symmetric: a system will adapt to its environment, while changing it through action. It follows that individual priors collectively shape macroscopic dynamics, reflecting a state of synchronisation among neurons. This synchronisation is therefore a hallmark of self-organising systems, where the state of each constituent depends, perhaps indirectly, upon every other component. Neuronal ensemble displays fundamental behaviours, which can be summarised as the ability to maintain a state of self-organised synchronisation in face of external perturbation. […]
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[…] published its research paper to arxiv.org to explore the applications and implications of Active Inference on the future of Artificial […]
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[…] of leadership), music (and skills), orchestral playing (for collective intelligence) and of course active inference and embodied complex predictive coding. As stated during the […]
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[…] on the notion of active inference, the conceptual models to better understand and measure interoception suggest that interoceptive […]
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