Bayesian Models Of Perception And Action

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Bayesian Models of Perception and Action

Author : Wei Ji Ma
Publisher : MIT Press
ISBN 13 : 0262047594
Total Pages : 409 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Bayesian Models of Perception and Action by : Wei Ji Ma

Download or read book Bayesian Models of Perception and Action written by Wei Ji Ma and published by MIT Press. This book was released on 2023-08-08 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action. Many forms of perception and action can be mathematically modeled as probabilistic—or Bayesian—inference, a method used to draw conclusions from uncertain evidence. According to these models, the human mind behaves like a capable data scientist or crime scene investigator when dealing with noisy and ambiguous data. This textbook provides an approachable introduction to constructing and reasoning with probabilistic models of perceptual decision-making and action. Featuring extensive examples and illustrations, Bayesian Models of Perception and Action is the first textbook to teach this widely used computational framework to beginners. Introduces Bayesian models of perception and action, which are central to cognitive science and neuroscience Beginner-friendly pedagogy includes intuitive examples, daily life illustrations, and gradual progression of complex concepts Broad appeal for students across psychology, neuroscience, cognitive science, linguistics, and mathematics Written by leaders in the field of computational approaches to mind and brain

Bayesian Models of Perception and Action

Author : Wei Ji Ma
Publisher : MIT Press
ISBN 13 : 0262372827
Total Pages : 409 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Bayesian Models of Perception and Action by : Wei Ji Ma

Surfing Uncertainty

Author : Andy Clark
Publisher : Oxford University Press, USA
ISBN 13 : 0190217014
Total Pages : 425 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis Surfing Uncertainty by : Andy Clark

Download or read book Surfing Uncertainty written by Andy Clark and published by Oxford University Press, USA. This book was released on 2016 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Active Inference

Author : Thomas Parr
Publisher : MIT Press
ISBN 13 : 0262362287
Total Pages : 313 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Active Inference by : Thomas Parr

Download or read book Active Inference written by Thomas Parr and published by MIT Press. This book was released on 2022-03-29 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Perception as Bayesian Inference

Author : David C. Knill
Publisher : Cambridge University Press
ISBN 13 : 9780521461092
Total Pages : 534 pages
Book Rating : 4.4/5 (61 download)

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Book Synopsis Perception as Bayesian Inference by : David C. Knill

Download or read book Perception as Bayesian Inference written by David C. Knill and published by Cambridge University Press. This book was released on 1996-09-13 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 1996 book describes an exciting theoretical paradigm for visual perception based on experimental and computational insights.

Bayesian Statistics for Experimental Scientists

Author : Richard A. Chechile
Publisher : MIT Press
ISBN 13 : 0262044587
Total Pages : 473 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Bayesian Statistics for Experimental Scientists by : Richard A. Chechile

Download or read book Bayesian Statistics for Experimental Scientists written by Richard A. Chechile and published by MIT Press. This book was released on 2020-09-08 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis. This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free methods. It covers not only well-developed methods for doing Bayesian statistics but also novel tools that enable Bayesian statistical analyses for cases that previously did not have a full Bayesian solution. The book's premise is that there are fundamental problems with orthodox frequentist statistical analyses that distort the scientific process. Side-by-side comparisons of Bayesian and frequentist methods illustrate the mismatch between the needs of experimental scientists in making inferences from data and the properties of the standard tools of classical statistics. The book first covers elementary probability theory, the binomial model, the multinomial model, and methods for comparing different experimental conditions or groups. It then turns its focus to distribution-free statistics that are based on having ranked data, examining data from experimental studies and rank-based correlative methods. Each chapter includes exercises that help readers achieve a more complete understanding of the material. The book devotes considerable attention not only to the linkage of statistics to practices in experimental science but also to the theoretical foundations of statistics. Frequentist statistical practices often violate their own theoretical premises. The beauty of Bayesian statistics, readers will learn, is that it is an internally coherent system of scientific inference that can be proved from probability theory.

Sensory Cue Integration

Author : Julia Trommershauser
Publisher : Oxford University Press
ISBN 13 : 019987476X
Total Pages : 461 pages
Book Rating : 4.1/5 (998 download)

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Book Synopsis Sensory Cue Integration by : Julia Trommershauser

Download or read book Sensory Cue Integration written by Julia Trommershauser and published by Oxford University Press. This book was released on 2011-09-21 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with sensory cue integration both within and between sensory modalities, and focuses on the emerging way of thinking about cue combination in terms of uncertainty. These probabilistic approaches derive from the realization that our sensors are noisy and moreover are often affected by ambiguity. For example, mechanoreceptor outputs are variable and they cannot distinguish if a perceived force is caused by the weight of an object or by force we are producing ourselves. The probabilistic approaches elaborated in this book aim at formalizing the uncertainty of cues. They describe cue combination as the nervous system's attempt to minimize uncertainty in its estimates and to choose successful actions. Some computational approaches described in the chapters of this book are concerned with the application of such statistical ideas to real-world cue-combination problems. Others ask how uncertainty may be represented in the nervous system and used for cue combination. Importantly, across behavioral, electrophysiological and theoretical approaches, Bayesian statistics is emerging as a common language in which cue-combination problems can be expressed.

Probabilistic Reasoning and Decision Making in Sensory-Motor Systems

Author : Pierre Bessière
Publisher : Springer
ISBN 13 : 3540790071
Total Pages : 378 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by : Pierre Bessière

Download or read book Probabilistic Reasoning and Decision Making in Sensory-Motor Systems written by Pierre Bessière and published by Springer. This book was released on 2008-08-27 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by Pierre Bessiere, Christian Laugier and Roland Siegwart provides a unique collection of a sizable segment of the cognitive systems research community in Europe. It reports on contributions from leading academic institutions brought together within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS). This fourteen-chapter volume covers important research along two main lines: new probabilistic models and algorithms for perception and action, new probabilistic methodology and techniques for artefact conception and development. The work addresses key issues concerned with Bayesian programming, navigation, filtering, modelling and mapping, with applications in a number of different contexts.

Probability and Bayesian Modeling

Author : Jim Albert
Publisher : CRC Press
ISBN 13 : 1351030132
Total Pages : 553 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Probability and Bayesian Modeling by : Jim Albert

Download or read book Probability and Bayesian Modeling written by Jim Albert and published by CRC Press. This book was released on 2019-12-06 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.

The Oxford Handbook of Philosophy of Perception

Author : Mohan Matthen
Publisher :
ISBN 13 : 0199600473
Total Pages : 945 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis The Oxford Handbook of Philosophy of Perception by : Mohan Matthen

Download or read book The Oxford Handbook of Philosophy of Perception written by Mohan Matthen and published by . This book was released on 2015 with total page 945 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of the Philosophy of Perception is a survey by leading philosophical thinkers of contemporary issues and new thinking in philosophy of perception. It includes sections on the history of the subject, introductions to contemporary issues in the epistemology, ontology and aesthetics of perception, treatments of the individual sense modalities and of the things we perceive by means of them, and a consideration of how perceptual information is integrated and consolidated. New analytic tools and applications to other areas of philosophy are discussed in depth. Each of the forty-five entries is written by a leading expert, some collaborating with younger figures; each seeks to introduce the reader to a broad range of issues. All contain new ideas on the topics covered; together they demonstrate the vigour and innovative zeal of a young field. The book is accessible to anybody who has an intellectual interest in issues concerning perception.

Red Tape Holds Up New Bridge, and More Flubs from the Nation's Press

Author : Gloria Cooper
Publisher : TarcherPerigee
ISBN 13 :
Total Pages : 88 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Red Tape Holds Up New Bridge, and More Flubs from the Nation's Press by : Gloria Cooper

Download or read book Red Tape Holds Up New Bridge, and More Flubs from the Nation's Press written by Gloria Cooper and published by TarcherPerigee. This book was released on 1987 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring selections from The Lower case, the best-read page of the Columbia Journalism Review, Red Tape Holds Up New Bridge gives the Fourth Estate the once-over and comes up with non-stop fun.

The Mind's Arrows

Author : Clark N. Glymour
Publisher : MIT Press
ISBN 13 : 9780262072205
Total Pages : 254 pages
Book Rating : 4.0/5 (722 download)

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Book Synopsis The Mind's Arrows by : Clark N. Glymour

Download or read book The Mind's Arrows written by Clark N. Glymour and published by MIT Press. This book was released on 2001 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title provides an introduction to assumptions, algorithms, and techniques of causal Bayes nets and graphical causal models in the context of psychological examples. It demonstrates their potential as a powerful tool for guiding experimental inquiry.

Active Inference

Author : Thomas Parr
Publisher : MIT Press
ISBN 13 : 0262045354
Total Pages : 313 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Active Inference by : Thomas Parr

Perception-Action Cycle

Author : Vassilis Cutsuridis
Publisher : Springer Science & Business Media
ISBN 13 : 1441914528
Total Pages : 785 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Perception-Action Cycle by : Vassilis Cutsuridis

Download or read book Perception-Action Cycle written by Vassilis Cutsuridis and published by Springer Science & Business Media. This book was released on 2011-02-02 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: The perception-action cycle is the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behaviour towards a goal. Each action causes changes in the environment that are analyzed bottom-up through the perceptual hierarchy and lead to the processing of further action, top-down through the executive hierarchy, toward motor effectors. These actions cause new changes that are analyzed and lead to new action, and so the cycle continues. The Perception-action cycle: Models, architectures and hardware book provides focused and easily accessible reviews of various aspects of the perception-action cycle. It is an unparalleled resource of information that will be an invaluable companion to anyone in constructing and developing models, algorithms and hardware implementations of autonomous machines empowered with cognitive capabilities. The book is divided into three main parts. In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and memory, planning and action, and consciousness grounded on experimental data. In the second part, architectures, algorithms, and systems with cognitive capabilities and minimal guidance from the brain, are discussed. These architectures, algorithms, and systems are inspired from the areas of cognitive science, computer vision, robotics, information theory, machine learning, computer agents and artificial intelligence. In the third part, the analysis, design and implementation of hardware systems with robust cognitive abilities from the areas of mechatronics, sensing technology, sensor fusion, smart sensor networks, control rules, controllability, stability, model/knowledge representation, and reasoning are discussed.

Bayesian Brain

Author : Kenji Doya
Publisher : MIT Press
ISBN 13 : 026204238X
Total Pages : 341 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Bayesian Brain by : Kenji Doya

Download or read book Bayesian Brain written by Kenji Doya and published by MIT Press. This book was released on 2007 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.

Probabilistic Approaches to Robotic Perception

Author : João Filipe Ferreira
Publisher : Springer
ISBN 13 : 3319020064
Total Pages : 259 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Probabilistic Approaches to Robotic Perception by : João Filipe Ferreira

Download or read book Probabilistic Approaches to Robotic Perception written by João Filipe Ferreira and published by Springer. This book was released on 2013-08-30 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book tries to address the following questions: How should the uncertainty and incompleteness inherent to sensing the environment be represented and modelled in a way that will increase the autonomy of a robot? How should a robotic system perceive, infer, decide and act efficiently? These are two of the challenging questions robotics community and robotic researchers have been facing. The development of robotic domain by the 1980s spurred the convergence of automation to autonomy, and the field of robotics has consequently converged towards the field of artificial intelligence (AI). Since the end of that decade, the general public’s imagination has been stimulated by high expectations on autonomy, where AI and robotics try to solve difficult cognitive problems through algorithms developed from either philosophical and anthropological conjectures or incomplete notions of cognitive reasoning. Many of these developments do not unveil even a few of the processes through which biological organisms solve these same problems with little energy and computing resources. The tangible results of this research tendency were many robotic devices demonstrating good performance, but only under well-defined and constrained environments. The adaptability to different and more complex scenarios was very limited. In this book, the application of Bayesian models and approaches are described in order to develop artificial cognitive systems that carry out complex tasks in real world environments, spurring the design of autonomous, intelligent and adaptive artificial systems, inherently dealing with uncertainty and the “irreducible incompleteness of models”.

Spatial Biases in Perception and Cognition

Author : Timothy L. Hubbard
Publisher : Cambridge University Press
ISBN 13 : 1107154987
Total Pages : 505 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Spatial Biases in Perception and Cognition by : Timothy L. Hubbard

Download or read book Spatial Biases in Perception and Cognition written by Timothy L. Hubbard and published by Cambridge University Press. This book was released on 2018-08-23 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerous spatial biases influence navigation, interactions, and preferences in our environment. This volume considers their influences on perception and memory.