Explaining the Computational Mind

Explaining the Computational Mind PDF

Author: Marcin Milkowski

Publisher: MIT Press

Published: 2013-03-29

Total Pages: 257

ISBN-13: 0262313928

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A defense of the computational explanation of cognition that relies on mechanistic philosophy of science and advocates for explanatory pluralism. In this book, Marcin Milkowski argues that the mind can be explained computationally because it is itself computational—whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music. Defending the computational explanation against objections to it—from John Searle and Hilary Putnam in particular—Milkowski writes that computationalism is here to stay but is not what many have taken it to be. It does not, for example, rely on a Cartesian gulf between software and hardware, or mind and brain. Milkowski's mechanistic construal of computation allows him to show that no purely computational explanation of a physical process will ever be complete. Computationalism is only plausible, he argues, if you also accept explanatory pluralism. Milkowski sketches a mechanistic theory of implementation of computation against a background of extant conceptions, describing four dissimilar computational models of cognition. He reviews other philosophical accounts of implementation and computational explanation and defends a notion of representation that is compatible with his mechanistic account and adequate vis à vis the four models discussed earlier. Instead of arguing that there is no computation without representation, he inverts the slogan and shows that there is no representation without computation—but explains that representation goes beyond purely computational considerations. Milkowski's arguments succeed in vindicating computational explanation in a novel way by relying on mechanistic theory of science and interventionist theory of causation.

Explaining the Computational Mind

Explaining the Computational Mind PDF

Author: Marcin Milkowski

Publisher:

Published: 2013

Total Pages: 243

ISBN-13: 9780262313919

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A defense of the computational explanation of cognition that relies on mechanistic philosophy of science and advocates for explanatory pluralism. In this book, Marcin Milkowski argues that the mind can be explained computationally because it is itself computational--whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music. Defending the computational explanation against objections to it--from John Searle and Hilary Putnam in particular--Milkowski writes that computationalism is here to stay but is not what many have taken it to be. It does not, for example, rely on a Cartesian gulf between software and hardware, or mind and brain. Milkowski's mechanistic construal of computation allows him to show that no purely computational explanation of a physical process will ever be complete. Computationalism is only plausible, he argues, if you also accept explanatory pluralism. Milkowski sketches a mechanistic theory of implementation of computation against a background of extant conceptions, describing four dissimilar computational models of cognition. He reviews other philosophical accounts of implementation and computational explanation and defends a notion of representation that is compatible with his mechanistic account and adequate vis à vis the four models discussed earlier. Instead of arguing that there is no computation without representation, he inverts the slogan and shows that there is no representation without computation--but explains that representation goes beyond purely computational considerations. Milkowski's arguments succeed in vindicating computational explanation in a novel way by relying on mechanistic theory of science and interventionist theory of causation.

The Routledge Handbook of the Computational Mind

The Routledge Handbook of the Computational Mind PDF

Author: Mark Sprevak

Publisher: Routledge

Published: 2018-09-13

Total Pages: 510

ISBN-13: 1317286723

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Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour? The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection of its kind. Comprising thirty-five chapters by an international team of contributors from different disciplines, the Handbook is organised into four parts: History and future prospects of computational approaches Types of computational approach Foundations and challenges of computational approaches Applications to specific parts of psychology. Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, The Routledge Handbook of the Computational Mind will also be of interest to those studying computational models in related subjects such as psychology, neuroscience, and computer science.

Neurocognitive Mechanisms

Neurocognitive Mechanisms PDF

Author: Gualtiero Piccinini

Publisher: Oxford University Press, USA

Published: 2020-10-08

Total Pages: 413

ISBN-13: 0198866283

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Gualtiero Piccinini presents a systematic and rigorous philosophical defence of the computational theory of cognition. His view posits that cognition involves neural computation within multilevel neurocognitive mechanisms, and includes novel ideas about ontology, functions, neural representation, neural computation, and consciousness.

Explanation and Integration in Mind and Brain Science

Explanation and Integration in Mind and Brain Science PDF

Author: David M. Kaplan

Publisher: Oxford University Press

Published: 2017

Total Pages: 269

ISBN-13: 0199685509

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Is the relationship between psychology and neuroscience one of autonomy or mutual constraint and integration? This volume includes new papers from leading philosophers seeking to address this issue by deepening our understanding of the similarities and differences between the explanatory patterns employed across these domains.

The Computational Theory of Mind

The Computational Theory of Mind PDF

Author: Matteo Colombo

Publisher: Cambridge University Press

Published: 2023-11-30

Total Pages: 163

ISBN-13: 1009192817

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The Computational Theory of Mind says that the mind is a computing system. It has a long history going back to the idea that thought is a kind of computation. Its modern incarnation relies on analogies with contemporary computing technology and the use of computational models. It comes in many versions, some more plausible than others. This Element supports the theory primarily by its contribution to solving the mind-body problem, its ability to explain mental phenomena, and the success of computational modelling and artificial intelligence. To be turned into an adequate theory, it needs to be made compatible with the tractability of cognition, the situatedness and dynamical aspects of the mind, the way the brain works, intentionality, and consciousness.

How the Mind Comes Into Being

How the Mind Comes Into Being PDF

Author: Martin V. Butz

Publisher: Oxford University Press

Published: 2017

Total Pages: 403

ISBN-13: 0198739699

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Provides an interdisciplinary perspective, helping the reader to develop an understanding of how the mind works that goes beyond disciplinary boundaries Adopts a computational approach, helping the reader to understand the mind on a functional level, in contrast to purely conceptual, verbalized levels Includes exercises and examples, helping the reader to consolidate the covered material and encouraging them to think 'outside of the box'

The Mechanical Mind

The Mechanical Mind PDF

Author: Tim Crane

Publisher: Presbyterian Publishing Corp

Published: 2003-04-24

Total Pages: 272

ISBN-13: 0203426312

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A fascinating exploration of the theories and arguments surrounding the notions of thought and representation. Now in its 2nd edition, Cranes's classic text has introduced thousands to some of the most important ideas in philosophy of mind.

Models of the Mind

Models of the Mind PDF

Author: Grace Lindsay

Publisher: Bloomsbury Publishing

Published: 2021-03-04

Total Pages: 401

ISBN-13: 1472966457

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The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. Each chapter of Models of the Mind focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. In addition, Grace examines the history of the field, starting with experiments done on frog legs in the late eighteenth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. Throughout, she reveals the value of using the elegant language of mathematics to describe the machinery of neuroscience.