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Author: Thomas Parr
Publisher: MIT Press
ISBN: 0262362287
Category : Science
Languages : en
Pages : 313
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Book Description
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.
Author: Thomas Parr
Publisher: MIT Press
ISBN: 0262362287
Category : Science
Languages : en
Pages : 313
Get Book Here
Book Description
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.
Author: Thomas Parr
Publisher: MIT Press
ISBN: 0262045354
Category : Science
Languages : en
Pages : 313
Get Book Here
Book Description
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.
Author: Thomas Parr
Publisher:
ISBN: 9780262369978
Category : Bayesian statistical decision theory
Languages : en
Pages :
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Book Description
"A much-needed synthesis of active inference, a theory of mind that addresses cognition, behavior, intelligence, & mental disorders and which can be extended to explain behavior in all living systems"--
Author: Andy Clark
Publisher: Oxford University Press, USA
ISBN: 0190217014
Category : Medical
Languages : en
Pages : 425
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Book Description
Exciting new theories in neuroscience, psychology, and artificial intelligence are revealing minds like ours as predictive minds, forever trying to guess the incoming streams of sensory stimulation before they arrive. In this up-to-the-minute treatment, philosopher and cognitive scientist Andy Clark explores new ways of thinking about perception, action, and the embodied mind.
Author: Tim Verbelen
Publisher: Springer
ISBN: 9783030649180
Category : Computers
Languages : en
Pages : 199
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Book Description
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.
Author: Thomas Insel, MD
Publisher: Penguin
ISBN: 0593298047
Category : Psychology
Languages : en
Pages : 337
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Book Description
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.
Author: Guy Van den Broeck
Publisher: MIT Press
ISBN: 0262542595
Category : Computers
Languages : en
Pages : 455
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Book Description
Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models. Statistical relational AI (StaRAI) studies the integration of reasoning under uncertainty with reasoning about individuals and relations. The representations used are often called relational probabilistic models. Lifted inference is about how to exploit the structure inherent in relational probabilistic models, either in the way they are expressed or by extracting structure from observations. This book covers recent significant advances in the area of lifted inference, providing a unifying introduction to this very active field. After providing necessary background on probabilistic graphical models, relational probabilistic models, and learning inside these models, the book turns to lifted inference, first covering exact inference and then approximate inference. In addition, the book considers the theory of liftability and acting in relational domains, which allows the connection of learning and reasoning in relational domains.
Author: Andrew Gelman
Publisher: John Wiley & Sons
ISBN: 9780470090435
Category : Mathematics
Languages : en
Pages : 448
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Book Description
This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin has made fundamental contributions to the study of missing data. Key features of the book include: Comprehensive coverage of an imporant area for both research and applications. Adopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques. Covers key topics such as multiple imputation, propensity scores, instrumental variables and Bayesian inference. Includes a number of applications from the social and health sciences. Edited and authored by highly respected researchers in the area.
Author: György Buzsáki MD, PhD
Publisher: Oxford University Press
ISBN: 0190905395
Category : Science
Languages : en
Pages : 465
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Book Description
Is there a right way to study how the brain works? Following the empiricist's tradition, the most common approach involves the study of neural reactions to stimuli presented by an experimenter. This 'outside-in' method fueled a generation of brain research and now must confront hidden assumptions about causation and concepts that may not hold neatly for systems that act and react. György Buzsáki's The Brain from Inside Out examines why the outside-in framework for understanding brain function has become stagnant and points to new directions for understanding neural function. Building upon the success of 2011's Rhythms of the Brain, Professor Buzsáki presents the brain as a foretelling device that interacts with its environment through action and the examination of action's consequence. Consider that our brains are initially filled with nonsense patterns, all of which are gibberish until grounded by action-based interactions. By matching these nonsense "words" to the outcomes of action, they acquire meaning. Once its circuits are "calibrated" by action and experience, the brain can disengage from its sensors and actuators, and examine "what happens if" scenarios by peeking into its own computation, a process that we refer to as cognition. The Brain from Inside Out explains why our brain is not an information-absorbing coding device, as it is often portrayed, but a venture-seeking explorer constantly controlling the body to test hypotheses. Our brain does not process information: it creates it.
Author: Guido W. Imbens
Publisher: Cambridge University Press
ISBN: 0521885884
Category : Business & Economics
Languages : en
Pages : 647
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Book Description
This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.
