Download or read book Conceptual Atomism and the Computational Theory of Mind written by John-Michael Kuczynski and published by John Benjamins Publishing. This book was released on 2007-01-01 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is it to have a concept? What is it to make an inference? What is it to be rational? On the basis of recent developments in semantics, a number of authors have embraced answers to these questions that have radically counterintuitive consequences, for example: One can rationally accept self-contradictory propositions (e.g. Smith is a composer and Smith is not a composer). Psychological states are causally inert: beliefs and desires do nothing. The mind cannot be understood in terms of folk-psychological concepts (e.g. belief, desire, intention). One can have a single concept without having any others: an otherwise conceptless creature could grasp the concept of justice or of the number seven. Thoughts are sentence-tokens, and thought-processes are driven by the syntactic, not the semantic, properties of those tokens. In the first half of Conceptual Atomism and the Computational Theory of Mind, John-Michael Kuczynski argues that these implausible but widely held views are direct consequences of a popular doctrine known as content-externalism, this being the view that the contents of one's mental states are constitutively dependent on facts about the external world. Kuczynski shows that content-externalism involves a failure to distinguish between, on the one hand, what is literally meant by linguistic expressions and, on the other hand, the information that one must work through to compute the literal meanings of such expressions. The second half of the present work concerns the Computational Theory of Mind (CTM). Underlying CTM is an acceptance of conceptual atomism the view that a creature can have a single concept without having any others and also an acceptance of the view that concepts are not descriptive (i.e. that one can have a concept of a thing without knowing of any description that is satisfied by that thing). Kuczynski shows that both views are false, one reason being that they presuppose the truth of content-externalism, another being that they are incompatible with the epistemological anti-foundationalism proven correct by Wilfred Sellars and Laurence Bonjour. Kuczynski also shows that CTM involves a misunderstanding of terms such as computation, syntax, algorithm and formal truth; and he provides novel analyses of the concepts expressed by these terms. (Series A)
Download or read book Symbols Computation and Intentionality written by Steven Horst and published by Steven Horst. This book was released on 2011-09-09 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Explaining the Computational Mind written by Marcin Milkowski and published by MIT Press. This book was released on 2013-03-29 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Mind Doesn t Work that Way written by Jerry A. Fodor and published by MIT Press. This book was released on 2000 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jerry Fodor argues against the widely held view that mental processes are largely computations, that the architecture of cognition is massively modular, and that the explanation of our innate mental structure is basically Darwinian.
Download or read book The Routledge Handbook of the Computational Mind written by Mark Sprevak and published by Routledge. This book was released on 2018-09-04 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Computationalism written by Matthias Scheutz and published by MIT Press. This book was released on 2002 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new computationalist view of the mind that takes into account real-world issues of embodiment, interaction, physical implementation, and semantics.
Download or read book Computing the Mind written by Shimon Edelman and published by Oxford University Press. This book was released on 2008-09-08 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a culmination of humanity's millennia-long quest for self knowledge, the sciences of the mind are now in a position to offer concrete, empirically validated answers to the most fundamental questions about human nature. What does it mean to be a mind? How is the mind related to the brain? How are minds shaped by their embodiment and environment? What are the principles behind cognitive functions such as perception, memory, language, thought, and consciousness? By analyzing the tasks facing any sentient being that is subject to stimulation and a pressure to act, Shimon Edelman identifies computation as the common denominator in the emerging answers to all these questions. Any system composed of elements that exchange signals with each other and occasionally with the rest of the world can be said to be engaged in computation. A brain composed of neurons is one example of a system that computes, and the computations that the neurons collectively carry out constitute the brain's mind. Edelman presents a computational account of the entire spectrum of cognitive phenomena that constitutes the mind. He begins with sentience, and uses examples from visual perception to demonstrate that it must, at its very core, be a type of computation. Throughout his account, Edelman acknowledges the human mind's biological origins. Along the way, he also demystifies traits such as creativity, language, and individual and collective consciousness, and hints at how naturally evolved minds can transcend some of their limitations by moving to computational substrates other than brains. The account that Edelman gives in this book is accessible, yet unified and rigorous, and the big picture he presents is supported by evidence ranging from neurobiology to computer science. The book should be read by anyone seeking a comprehensive and current introduction to cognitive psychology.
Download or read book How the Mind Works written by Steven Pinker and published by W. W. Norton & Company. This book was released on 2009-06-02 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains what the mind is, how it evolved, and how it allows us to see, think, feel, laugh, interact, enjoy the arts, and ponder the mysteries of life.
Download or read book The Extent to Which consciousness Poses a Problem for the Computational Theory of Mind written by Sebastian A. Wagner and published by GRIN Verlag. This book was released on 2011-04 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essay from the year 2008 in the subject Psychology - General, grade: 1,7, University of Derby (Institut für Psychologie), course: Cognitive Psychology, language: English, abstract: In Psychology, many theories and models use process charts resembling circuit diagrams of technical devices. In this account, human behaviour and experience appears to be the result of processes taking place in the 'black box' named cognition. In this context, "computationalism is the view that computation [...] can offer an explanatory basis for cognition" (Davenport, 2008, p.1). The Computational Theory of Mind (CTM) has developed on this foundation, attempting to reveal what is inside this 'black box'. In contrast, human consciousness being a part of cognition (Harnad, 1994) seems to be beyond any scientific explanation. This essay will critically discuss the extent to which consciousness poses a problem for the CTM - regarding issues surrounding consciousness as an area of scientific study, the extent to which consciousness is explicable in computational terms, explanations of consciousness, and Dennett's (1991) different account to consciousness. It will be argued that consciousness does pose a major problem for the CTM, especially when it is conceptualised as subjective experience. It will conclude that Cognitive Science should presently focus only on certain aspects of consciousness, called the easy problems.
Download or read book The Computational Theory of Mind written by Matteo Colombo and published by Cambridge University Press. This book was released on 2023-11-30 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Computational Mind A Complex Dynamics Perspective written by Vladimir G. Ivancevic and published by Springer Science & Business Media. This book was released on 2007-06-12 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a graduate–level monographic textbook in the field of Computational Intelligence. It presents a modern dynamical theory of the computational mind, combining cognitive psychology, artificial and computational intelligence, and chaos theory with quantum consciousness and computation. The book introduces to human and computational mind, comparing and contrasting main themes of cognitive psychology, artificial and computational intelligence.
Download or read book Computer Models of Mind written by Margaret A. Boden and published by Cambridge University Press. This book was released on 1988-04-29 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how computer models are used to study many psychological phenomena - including vision, language, reasoning, and learning.
Download or read book Neurocognitive Mechanisms written by Gualtiero Piccinini and published by Oxford University Press, USA. This book was released on 2020-10-08 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Mechanical Mind written by Tim Crane and published by Presbyterian Publishing Corp. This book was released on 2003-04-24 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Computational Brain 25th Anniversary Edition written by Patricia S. Churchland and published by MIT Press. This book was released on 2016-11-04 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: An anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists. Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In The Computational Brain, Patricia Churchland and Terrence Sejnowski developed a different conceptual framework, based on large populations of neurons. They did this by showing that patterns of activities among the units in trained artificial neural network models had properties that resembled those recorded from populations of neurons recorded one at a time. It is one of the first books to bring together computational concepts and behavioral data within a neurobiological framework. Aimed at a broad audience of neuroscientists, computer scientists, cognitive scientists, and philosophers, The Computational Brain is written for both expert and novice. This anniversary edition offers a new preface by the authors that puts the book in the context of current research. This approach influenced a generation of researchers. Even today, when neuroscientists can routinely record from hundreds of neurons using optics rather than electricity, and the 2013 White House BRAIN initiative heralded a new era in innovative neurotechnologies, the main message of The Computational Brain is still relevant.
Download or read book The Computer and the Mind written by Philip Nicholas Johnson-Laird and published by Harvard University Press. This book was released on 1988 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a field choked with seemingly impenetrable jargon, Philip N. Johnson-Laird has done the impossible: written a book about how the mind works that requires no advance knowledge of artificial intelligence, neurophysiology, or psychology. The mind, he says, depends on the brain in the same way as the execution of a program of symbolic instructions depends on a computer, and can thus be understood by anyone willing to start with basic principles of computation and follow his step-by-step explanations. The author begins with a brief account of the history of psychology and the birth of cognitive science after World War II. He then describes clearly and simply the nature of symbols and the theory of computation, and follows with sections devoted to current computational models of how the mind carries out all its major tasks, including visual perception, learning, memory, the planning and control of actions, deductive and inductive reasoning, and the formation of new concepts and new ideas. Other sections discuss human communication, meaning, the progress that has been made in enabling computers to understand natural language, and finally the difficult problems of the conscious and unconscious mind, free will, needs and emotions, and self-awareness. In an envoi, the author responds to the critics of cognitive science and defends the computational view of the mind as an alternative to traditional dualism: cognitive science integrates mind and matter within the same explanatory framework. This first single-authored introduction to cognitive science will command the attention of students of cognitive science at all levels including psychologists, linguists, computer scientists, philosophers, and neuroscientists--as well as all readers curious about recent knowledge on how the mind works.
Download or read book Computational Explorations in Cognitive Neuroscience written by Randall C. O'Reilly and published by MIT Press. This book was released on 2000-08-28 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.
