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Author: Marcin Milkowski
Publisher: MIT Press
ISBN: 0262313928
Category : Science
Languages : en
Pages : 257
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Book Description
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.
Author: Marcin Milkowski
Publisher: MIT Press
ISBN: 0262313928
Category : Science
Languages : en
Pages : 257
Get Book Here
Book Description
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.
Author: Marcin Miłkowski
Publisher: MIT Press
ISBN: 0262018861
Category : Computers
Languages : en
Pages : 257
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Book Description
In this work, 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.
Author: David Michael Kaplan
Publisher: Oxford University Press
ISBN: 0199685509
Category : Philosophy
Languages : en
Pages : 269
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Book Description
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.
Author: Gualtiero Piccinini
Publisher:
ISBN: 0198866283
Category : Medical
Languages : en
Pages : 413
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Book Description
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.
Author: Steven Horst
Publisher: Steven Horst
ISBN: 0984017631
Category : Philosophy
Languages : en
Pages : 452
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Book Description
Author: Drew V. McDermott
Publisher: MIT Press
ISBN: 9780262133920
Category : Computers
Languages : en
Pages : 292
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Book Description
An exploration of the mind-body problem from the perspective of artificial intelligence.
Author: Grace Lindsay
Publisher: Bloomsbury Publishing
ISBN: 1472966457
Category : Science
Languages : en
Pages : 401
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Book Description
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.
Author: Tim Crane
Publisher: Presbyterian Publishing Corp
ISBN: 0203426312
Category : Philosophy
Languages : en
Pages : 272
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Book Description
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.
Author: David A. Lagnado
Publisher: Cambridge University Press
ISBN: 1107006007
Category : Law
Languages : en
Pages : 327
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Book Description
This book explores how we investigate the world and make sense of complex evidence, revealing both our strengths and flaws.
Author: Sunny Y. Auyang
Publisher: MIT Press
ISBN: 9780262261357
Category : Psychology
Languages : en
Pages : 556
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Book Description
Sunny Auyang tackles what she calls "the large pictures of the human mind," exploring the relevance of cognitive science findings to everyday mental life. Auyang proposes a model of an "open mind emerging from the self-organization of infrastructures," which she opposes to prevalent models that treat mind as a disembodied brain or computer, subject to the control of external agents such as neuroscientists and programmers. Although cognitive science has obtained abundant data on neural and computational processes, it barely explains such ordinary experiences as recognizing faces, feeling pain, or remembering the past. In this book Sunny Auyang tackles what she calls "the large pictures of the human mind," exploring the relevance of cognitive science findings to everyday mental life. Auyang proposes a model of an "open mind emerging from the self-organization of infrastructures," which she opposes to prevalent models that treat mind as a disembodied brain or computer, subject to the control of external agents such as neuroscientists and programmers. Her model consists of three parts: (1) the open mind of our conscious life; (2) mind's infrastructure, the unconscious processes studied by cognitive science; and (3) emergence, the relation between the open mind and its infrastructure. At the heart of Auyang's model is the mind that opens to the world and makes it intelligible. A person with an open mind feels, thinks, recognizes, believes, doubts, anticipates, fears, speaks, and listens, and is aware of I, together with it and thou. Cognitive scientists refer to the "binding problem," the question of how myriad unconscious processes combine into the unity of consciousness. Auyang approaches the problem from the other end—by starting with everyday experience rather than with the mental infrastructure. In so doing, she shows both how analyses of experiences can help to advance cognitive science and how cognitive science can help us to understand ourselves as autonomous subjects.
