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  1. The Modularity of Mind.Robert Cummins & Jerry Fodor - 1983 - Philosophical Review 94 (1):101.
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  • Mindblindness: An Essay on Autism and Theory of Mind.Simon Baron-Cohen - 1997 - MIT Press.
    In Mindblindness, Simon Baron-Cohen presents a model of the evolution and development of "mindreading." He argues that we mindread all the time, effortlessly, automatically, and mostly unconsciously. It is the natural way in which we interpret, predict, and participate in social behavior and communication. We ascribe mental states to people: states such as thoughts, desires, knowledge, and intentions. Building on many years of research, Baron-Cohen concludes that children with autism, suffer from "mindblindness" as a result of a selective impairment in (...)
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  • Mental Mechanisms: Philosophical Perspectives on Cognitive Neuroscience.William Bechtel - 2007 - Psychology Press.
    A variety of scientific disciplines have set as their task explaining mental activities, recognizing that in some way these activities depend upon our brain. But, until recently, the opportunities to conduct experiments directly on our brains were limited. As a result, research efforts were split between disciplines such as cognitive psychology, linguistics, and artificial intelligence that investigated behavior, while disciplines such as neuroanatomy, neurophysiology, and genetics experimented on the brains of non-human animals. In recent decades these disciplines integrated, and with (...)
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  • Physical Computation: A Mechanistic Account.Gualtiero Piccinini - 2015 - Oxford, GB: Oxford University Press UK.
    Gualtiero Piccinini articulates and defends a mechanistic account of concrete, or physical, computation. A physical system is a computing system just in case it is a mechanism one of whose functions is to manipulate vehicles based solely on differences between different portions of the vehicles according to a rule defined over the vehicles. Physical Computation discusses previous accounts of computation and argues that the mechanistic account is better. Many kinds of computation are explicated, such as digital vs. analog, serial vs. (...)
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  • The Architecture of the Mind:Massive Modularity and the Flexibility of Thought: Massive Modularity and the Flexibility of Thought.Peter Carruthers - 2006 - New York: Oxford University Press UK.
    This book is a comprehensive development and defense of one of the guiding assumptions of evolutionary psychology: that the human mind is composed of a large number of semi-independent modules. The Architecture of the Mind has three main goals. One is to argue for massive mental modularity. Another is to answer a 'How possibly?' challenge to any such approach. The first part of the book lays out the positive case supporting massive modularity. It also outlines how the thesis should best (...)
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  • (1 other version)Psychological predicates.Hilary Putnam - 1967 - In William H. Capitan & Daniel Davy Merrill (eds.), Art, mind, and religion. [Pittsburgh]: University of Pittsburgh Press. pp. 37--48.
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  • Towards a cognitive neuroscience of consciousness: Basic evidence and a workspace framework.Stanislas Dehaene & Lionel Naccache - 2001 - Cognition 79 (1):1-37.
    This introductory chapter attempts to clarify the philosophical, empirical, and theoretical bases on which a cognitive neuroscience approach to consciousness can be founded. We isolate three major empirical observations that any theory of consciousness should incorporate, namely (1) a considerable amount of processing is possible without consciousness, (2) attention is a prerequisite of consciousness, and (3) consciousness is required for some specific cognitive tasks, including those that require durable information maintenance, novel combinations of operations, or the spontaneous generation of intentional (...)
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  • Explaining the Computational Mind.Marcin Miłkowski - 2013 - MIT Press.
    In the book, I argue 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. All these capacities arise from complex information-processing operations of the mind. By analyzing the state of the art in cognitive science, I develop an account of computational explanation used to explain the capacities in question.
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  • The cognitive neuroscience revolution.Worth Boone & Gualtiero Piccinini - 2016 - Synthese 193 (5):1509-1534.
    We outline a framework of multilevel neurocognitive mechanisms that incorporates representation and computation. We argue that paradigmatic explanations in cognitive neuroscience fit this framework and thus that cognitive neuroscience constitutes a revolutionary break from traditional cognitive science. Whereas traditional cognitive scientific explanations were supposed to be distinct and autonomous from mechanistic explanations, neurocognitive explanations aim to be mechanistic through and through. Neurocognitive explanations aim to integrate computational and representational functions and structures across multiple levels of organization in order to explain (...)
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  • (1 other version)Psychological Predicates.Hilary Putnam - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. New York: Oxford University Press.
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  • Towards new human rights in the age of neuroscience and neurotechnology.Marcello Ienca & Roberto Andorno - 2017 - Life Sciences, Society and Policy 13 (1):1-27.
    Rapid advancements in human neuroscience and neurotechnology open unprecedented possibilities for accessing, collecting, sharing and manipulating information from the human brain. Such applications raise important challenges to human rights principles that need to be addressed to prevent unintended consequences. This paper assesses the implications of emerging neurotechnology applications in the context of the human rights framework and suggests that existing human rights may not be sufficient to respond to these emerging issues. After analysing the relationship between neuroscience and human rights, (...)
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  • Modularity, development and "theory of mind".Alan M. Leslie & Brian J. Scholl - 1999 - Mind and Language 14 (1):131-153.
    Psychologists and philosophers have recently been exploring whether the mechanisms which underlie the acquisition of ‘theory of mind’ (ToM) are best charac- terized as cognitive modules or as developing theories. In this paper, we attempt to clarify what a modular account of ToM entails, and why it is an attractive type of explanation. Intuitions and arguments in this debate often turn on the role of develop- ment: traditional research on ToM focuses on various developmental sequences, whereas cognitive modules are thought (...)
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  • Recommendations for Responsible Development and Application of Neurotechnologies.Sara Goering, Eran Klein, Laura Specker Sullivan, Anna Wexler, Blaise Agüera Y. Arcas, Guoqiang Bi, Jose M. Carmena, Joseph J. Fins, Phoebe Friesen, Jack Gallant, Jane E. Huggins, Philipp Kellmeyer, Adam Marblestone, Christine Mitchell, Erik Parens, Michelle Pham, Alan Rubel, Norihiro Sadato, Mina Teicher, David Wasserman, Meredith Whittaker, Jonathan Wolpaw & Rafael Yuste - 2021 - Neuroethics 14 (3):365-386.
    Advancements in novel neurotechnologies, such as brain computer interfaces and neuromodulatory devices such as deep brain stimulators, will have profound implications for society and human rights. While these technologies are improving the diagnosis and treatment of mental and neurological diseases, they can also alter individual agency and estrange those using neurotechnologies from their sense of self, challenging basic notions of what it means to be human. As an international coalition of interdisciplinary scholars and practitioners, we examine these challenges and make (...)
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  • Neural Computation and the Computational Theory of Cognition.Gualtiero Piccinini & Sonya Bahar - 2013 - Cognitive Science 37 (3):453-488.
    We begin by distinguishing computationalism from a number of other theses that are sometimes conflated with it. We also distinguish between several important kinds of computation: computation in a generic sense, digital computation, and analog computation. Then, we defend a weak version of computationalism—neural processes are computations in the generic sense. After that, we reject on empirical grounds the common assimilation of neural computation to either analog or digital computation, concluding that neural computation is sui generis. Analog computation requires continuous (...)
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  • Information as a Probabilistic Difference Maker.Andrea Scarantino - 2015 - Australasian Journal of Philosophy 93 (3):419-443.
    By virtue of what do alarm calls and facial expressions carry natural information? The answer I defend in this paper is that they carry natural information by virtue of changing the probabilities of various states of affairs, relative to background data. The Probabilistic Difference Maker Theory of natural information that I introduce here is inspired by Dretske's [1981] seminal analysis of natural information, but parts ways with it by eschewing the requirements that information transmission must be nomically underwritten, mind-independent, and (...)
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  • Computation vs. information processing: why their difference matters to cognitive science.Gualtiero Piccinini & Andrea Scarantino - 2010 - Studies in History and Philosophy of Science Part A 41 (3):237-246.
    Since the cognitive revolution, it has become commonplace that cognition involves both computation and information processing. Is this one claim or two? Is computation the same as information processing? The two terms are often used interchangeably, but this usage masks important differences. In this paper, we distinguish information processing from computation and examine some of their mutual relations, shedding light on the role each can play in a theory of cognition. We recommend that theorists of cognition be explicit and careful (...)
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  • Hacking the brain: brain–computer interfacing technology and the ethics of neurosecurity.Marcello Ienca & Pim Haselager - 2016 - Ethics and Information Technology 18 (2):117-129.
    Brain–computer interfacing technologies are used as assistive technologies for patients as well as healthy subjects to control devices solely by brain activity. Yet the risks associated with the misuse of these technologies remain largely unexplored. Recent findings have shown that BCIs are potentially vulnerable to cybercriminality. This opens the prospect of “neurocrime”: extending the range of computer-crime to neural devices. This paper explores a type of neurocrime that we call brain-hacking as it aims at the illicit access to and manipulation (...)
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  • Modularity of Mind.Philip Robbins - 2009 - Stanford Encyclopedia of Philosophy.
    The concept of modularity has loomed large in philosophy of psychology since the early 1980s, following the publication of Fodor’s landmark book The Modularity of Mind (1983). In the decades since the term ‘module’ and its cognates first entered the lexicon of cognitive science, the conceptual and theoretical landscape in this area has changed dramatically. Especially noteworthy in this respect has been the development of evolutionary psychology, whose proponents adopt a less stringent conception of modularity than the one advanced by (...)
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  • Representations are Rate-Distortion Sweet Spots.Manolo Martínez - 2019 - Philosophy of Science 86 (5):1214-1226.
    Information is widely perceived as essential to the study of communication and representation; still, theorists working on these topics often take themselves not to be centrally concerned with "Shannon information", as it is often put, but with some other, sometimes called "semantic" or "nonnatural",kind of information. This perception is wrong. Shannon's theory of information is the only one we need. -/- I intend to make good on this last assertion by canvassing a fully (Shannon) informational answer to the metasemantic question (...)
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  • Massively modular minds: Evolutionary psychology and cognitive architecture.Richard Samuels - 2000 - In Peter Carruthers & Andrew Chamberlain (eds.), Evolution and the Human Mind: Modularity, Language and Meta-Cognition. Cambridge University Press. pp. 13--46.
    What are the elements from which the human mind is composed? What structures make up our _cognitive architecture?_ One of the most recent and intriguing answers to this question comes from the newly emerging interdisciplinary field of evolutionary psychology. Evolutionary psychologists defend a _massively modular_ conception of mental architecture which views the mind –including those parts responsible for such ‘central processes’ as belief revision and reasoning— as composed largely or perhaps even entirely of innate, special-purpose computational mechanisms or ‘modules’ that (...)
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  • Ethical Issues to Consider Before Introducing Neurotechnological Thought Apprehension in Psychiatry.Gerben Meynen - 2019 - American Journal of Bioethics Neuroscience 10 (1):5-14.
    When it becomes available, neuroscience-based apprehension of subjective thoughts is bound to have a profound impact on several areas of society. One of these areas is medicine. In principle, medical specialties that are primarily concerned with mind and brain are most likely to apply neurotechnological thought apprehension (NTA) techniques. Psychiatry is such a specialty, and the relevance of NTA developments for psychiatry has been recognized. In this article, I discuss ethical issues regarding the use of NTA techniques in psychiatric contexts. (...)
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  • Identifying Criteria for the Evaluation of the Implications of Brain Reading for Mental Privacy.Giulio Mecacci & Pim Haselager - 2019 - Science and Engineering Ethics 25 (2):443-461.
    Contemporary brain reading technologies promise to provide the possibility to decode and interpret mental states and processes. Brain reading could have numerous societally relevant implications. In particular, the private character of mind might be affected, generating ethical and legal concerns. This paper aims at equipping ethicists and policy makers with conceptual tools to support an evaluation of the potential applicability and the implications of current and near future brain reading technology. We start with clarifying the concepts of mind reading and (...)
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  • Data Sharing and the Idea of Ownership.Jonathan Montgomery - 2017 - The New Bioethics 23 (1):81-86.
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