Active Inference

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. Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning.

This volume constitutes the papers of the 3rd International Workshop on Active Inference, IWAI 2022, held in Grenoble, France, in conjunction with ECML/PKDD, on September 19, 2022. The 25 revised full papers presented in this book were carefully reviewed and selected from 31 submissions.

This book constitutes the refereed proceedings of the First International Workshop on Active Inference, IWAI 2020, co-located with ECML/PKDD 2020, held in Ghent, Belgium, in September 2020. The 13 full papers along with 6 short papers were thoroughly reviewed and selected from 25 submissions. They are organized in the topical sections on ​active inference and continuous control; active inference and machine learning; active inference: theory and biology.

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. Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning.

This book constitutes the refereed proceedings of the First International Workshop on Active Inference, IWAI 2020, co-located with ECML/PKDD 2020, held in Ghent, Belgium, in September 2020. The 13 full papers along with 6 short papers were thoroughly reviewed and selected from 25 submissions. They are organized in the topical sections on ​active inference and continuous control; active inference and machine learning; active inference: theory and biology.

A bold, expert, and actionable map for the re-invention of America’s broken mental health care system. “Healing is truly one of the best books ever written about mental illness, and I think I’ve read them all." —Pete Earley, author of Crazy As director of the National Institute of Mental Health, Dr. Thomas Insel was giving a presentation when the father of a boy with schizophrenia yelled from the back of the room, “Our house is on fire and you’re telling me about the chemistry of the paint! What are you doing to put out the fire?” Dr. Insel knew in his heart that the answer was not nearly enough. The gargantuan American mental health industry was not healing millions who were desperately in need. He left his position atop the mental health research world to investigate all that was broken—and what a better path to mental health might look like. In the United States, we have treatments that work, but our system fails at every stage to deliver care well. Even before COVID, mental illness was claiming a life every eleven minutes by suicide. Quality of care varies widely, and much of the field lacks accountability. We focus on drug therapies for symptom reduction rather than on plans for long-term recovery. Care is often unaffordable and unavailable, particularly for those who need it most and are homeless or incarcerated. Where was the justice for the millions of Americans suffering from mental illness? Who was helping their families? But Dr. Insel also found that we do have approaches that work, both in the U.S. and globally. Mental illnesses are medical problems, but he discovers that the cures for the crisis are not just medical, but social. This path to healing, built upon what he calls the three Ps (people, place, and purpose), is more straightforward than we might imagine. Dr. Insel offers a comprehensive plan for our failing system and for families trying to discern the way forward. The fruit of a lifetime of expertise and a global quest for answers, Healing is a hopeful, actionable account and achievable vision for us all in this time of mental health crisis.

This monograph presents a clear account of when and how attentional processes can shape perceptual experience. This argument is based on the prediction-error minimization model of the mind. The author believes that the topic of attention should take a more central role in the debate about the influence of cognition on perception. Inside, he shows how this can be possible. The hypothesis that cognition may shape perceptual experience has been traditionally labeled as the cognitive penetrability of perceptual experience. Cognitive penetrability is relevant for several debates in philosophy and cognitive science. It tackles the possibility of gathering genuine knowledge on the basis of perceptual information about the world delivered by sensory channels. The problem, the author notes, is that if our previously acquired belief can shape current perceptual experiences, such experiences cannot serve as an adequate source of justification in retaining those beliefs or even forming new ones. He argues that cognitive penetration may sometimes happen through attentional processes, but that its occurrence need not undermine perceptual justification. The book provides an overview of the cognitive penetrability debate. The author discusses evidence that supports the occurrence of this phenomenon. Overall, this investigation offers readers a philosophical discussion of attention based on the biased-competition theory. It argues that attention is a property of mental representations that emerges from a metacognitive competition process.

This book constitutes the proceedings of the 12th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2022, in Genoa, Italy, held in July 19-22, 2022. The 44 full papers and 14 short papers presented were carefully reviewed and selected from 67 submissions. They deal with research on novel life-like technologies inspired by the scientific investigation of biological systems, biomimetics, and research that seeks to interface biological and artificial systems to create biohybrid systems. The conference aims to highlight the most exciting research in both fields united by the theme of "Living Machines."br/ppChapters 3, 9, 11, 12, and 15 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.