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  1. Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
    Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence, business, epidemiology, social science and economics.
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  • The Modularity of Mind.Robert Cummins & Jerry Fodor - 1983 - Philosophical Review 94 (1):101.
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  • Moving forward (and beyond) the modularity debate: A network perspective.Matteo Colombo - 2013 - Philosophy of Science 80 (3):356-377.
    Modularity is one of the most important concepts used to articulate a theory of cognitive architecture. Over the last 30 years, the debate in many areas of the cognitive sciences and in philosophy of psychology about what modules are, and to what extent our cognitive architecture is modular, has made little progress. After providing a diagnosis of this lack of progress, this article suggests a remedy. It argues that the theoretical framework of network science can be brought to bear on (...)
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  • On Fodor's problem.Peter Carruthers - 2003 - Mind and Language 18 (5):502-523.
    This paper sketches a solution to a problem which has been emphasized by Fodor. This is the problem of how to explain distinctively-human flexible cognition in modular terms. There are three aspects to the proposed account. First, it is suggested that natural language sentences might serve to integrate the outputs of a number of conceptual modules. Second, a creative sentence-generator, or supposer, is postulated. And third, it is argued that a set of principles of inference to the best explanation can (...)
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  • Modularity in cognition: Framing the debate.H. Clark Barrett & Robert Kurzban - 2006 - Psychological Review 113 (3):628-647.
    Modularity has been the subject of intense debate in the cognitive sciences for more than 2 decades. In some cases, misunderstandings have impeded conceptual progress. Here the authors identify arguments about modularity that either have been abandoned or were never held by proponents of modular views of the mind. The authors review arguments that purport to undermine modularity, with particular attention on cognitive architecture, development, genetics, and evolution. The authors propose that modularity, cleanly defined, provides a useful framework for directing (...)
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  • The complexity of cognition: Tractability arguments for massive modularity.Richard Samuels - 2005 - In Peter Carruthers, Stephen Laurence & Stephen P. Stich (eds.), The Innate Mind: Structure and Contents. New York, US: Oxford University Press USA. pp. 107.
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  • Change in view: Principles of reasoning.Gilbert Harman - 2008 - In . Cambridge University Press. pp. 35-46.
    I have been supposing that for the theory of reasoning, explicit belief is an all-or-nothing matter, I have assumed that, as far as principles of reasoning are concerned, one either believes something explicitly or one does not; in other words an appropriate "representation" is either in one's "memory" or not. The principles of reasoning are principles for modifying such all-or-nothing representations. This is not to deny that in some ways belief is a matter of degree. For one thing implicit belief (...)
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  • Is the mind really modular?Jesse J. Prinz - 2006 - In Robert J. Stainton (ed.), Contemporary Debates in Cognitive Science. Oxford: Wiley-Blackwell. pp. 22--36.
    When Fodor titled his (1983) book the _Modularity of Mind_, he overstated his position. His actual view is that the mind divides into systems some of which are modular and others of which are not. The book would have been more aptly, if less provocatively, called _The Modularity of Low-Level Peripheral Systems_. High-level perception and cognitive systems are non-modular on Fodor’s theory. In recent years, modularity has found more zealous defenders, who claim that the entire mind divides into highly specialized (...)
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  • From a Logical Point of View.Willard Van Orman Quine - 1953 - Cambridge: Harvard University Press.
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  • Review of Woodward, Making Things Happen. [REVIEW]Michael Strevens - 2007 - Philosophy and Phenomenological Research 74 (1):233-249.
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  • Making things happen: a theory of causal explanation.James F. Woodward - 2003 - New York: Oxford University Press.
    Woodward's long awaited book is an attempt to construct a comprehensive account of causation explanation that applies to a wide variety of causal and explanatory claims in different areas of science and everyday life. The book engages some of the relevant literature from other disciplines, as Woodward weaves together examples, counterexamples, criticisms, defenses, objections, and replies into a convincing defense of the core of his theory, which is that we can analyze causation by appeal to the notion of manipulation.
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  • Testability.Elliott Sober - 1999 - Proceedings and Addresses of the American Philosophical Association 73 (2):47-76.
    That some propositions are testable, while others are not, was a fundamental idea in the philosophical program known as logical empiricism. That program is now widely thought to be defunct. Quine’s (1953) “Two Dogmas of Empiricism” and Hempel’s (1950) “Problems and Changes in the Empiricist Criterion of Meaning” are among its most notable epitaphs. Yet, as we know from Mark Twain’s comment on an obituary that he once had the pleasure of reading about himself, the report of a death can (...)
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  • Evolutionary psychology and the massive modularity hypothesis.Richard Samuels - 1998 - British Journal for the Philosophy of Science 49 (4):575-602.
    In recent years evolutionary psychologists have developed and defended the Massive Modularity Hypothesis, which maintains that our cognitive architecture—including the part that subserves ‘central processing’ —is largely or perhaps even entirely composed of innate, domain-specific computational mechanisms or ‘modules’. In this paper I argue for two claims. First, I show that the two main arguments that evolutionary psychologists have offered for this general architectural thesis fail to provide us with any reason to prefer it to a competing picture of the (...)
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  • From a Logical Point of View.Richard M. Martin - 1955 - Philosophy and Phenomenological Research 15 (4):574-575.
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  • So how does the mind work?Steven Pinker - 2005 - Mind and Language 20 (1):1-38.
    In my book How the Mind Works, I defended the theory that the human mind is a naturally selected system of organs of computation. Jerry Fodor claims that 'the mind doesn't work that way'(in a book with that title) because (1) Turing Machines cannot duplicate humans' ability to perform abduction (inference to the best explanation); (2) though a massively modular system could succeed at abduction, such a system is implausible on other grounds; and (3) evolution adds nothing to our understanding (...)
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  • On Fodor's analogy: Why psychology is like philosophy of science after all.Dominic Murphy - 2006 - Mind and Language 21 (5):553-564.
    Jerry Fodor has argued that a modular mind must include central systems responsible for updating beliefs, and has defended this position by appealing to shared properties of belief fixation and scientific confirmation. Peter Carruthers and Stephen Pinker have attacked this analogy between science and ordinary inference. I examine their arguments and show that they fail. This does not show that Fodor's more general position is correct.
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  • On Fodor's Analogy: Why Psychology is Like Philosophy of Science After All.Dominic Murphy - 2006 - Mind and Language 21 (5):553-564.
    Jerry Fodor has argued that a modular mind must include central systems responsible for updating beliefs, and has defended this position by appealing to shared properties of belief fixation and scientific confirmation. Peter Carruthers and Stephen Pinker have attacked this analogy between science and ordinary inference. I examine their arguments and show that they fail. This does not show that Fodor’s more general position is correct.
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  • Inferentialism.Julien Murzi & Florian Steinberger - 2017 - In Bob Hale, Crispin Wright & Alexander Miller (eds.), A Companion to the Philosophy of Language. Chichester, UK: Wiley. pp. 197–224.
    This chapter introduces inferential role semantics (IRS) and some of the challenges it faces. It also introduces inferentialism and places it into the wider context of contemporary philosophy of language. The chapter focuses on what is standardly considered both the most important test case for and the most natural application of IRS: logical inferentialism, the view that the meanings of the logical expressions are fully determined by the basic rules for their correct use, and that to understand a logical expression (...)
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  • The inference to the best explanation.Gilbert H. Harman - 1965 - Philosophical Review 74 (1):88-95.
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  • Review of Gilbert Harman: Change in View: Principles of Reasoning[REVIEW]Howard Margolis - 1986 - Ethics 99 (4):966-966.
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  • A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.Alison Gopnik, Clark Glymour, Laura Schulz, Tamar Kushnir & David Danks - 2004 - Psychological Review 111 (1):3-32.
    We propose that children employ specialized cognitive systems that allow them to recover an accurate “causal map” of the world: an abstract, coherent, learned representation of the causal relations among events. This kind of knowledge can be perspicuously understood in terms of the formalism of directed graphical causal models, or “Bayes nets”. Children’s causal learning and inference may involve computations similar to those for learning causal Bayes nets and for predicting with them. Experimental results suggest that 2- to 4-year-old children (...)
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  • The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology.C. Hitchcock - 2003 - Erkenntnis 59 (1):136-140.
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  • What is right with 'bayes net methods' and what is wrong with 'hunting causes and using them'?Clark Glymour - 2010 - British Journal for the Philosophy of Science 61 (1):161-211.
    Nancy Cartwright's recent criticisms of efforts and methods to obtain causal information from sample data using automated search are considered. In addition to reviewing that effort, I argue that almost all of her criticisms are false and rest on misreading, overgeneralization, or neglect of the relevant literature.
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  • Theory and Evidence.Clark N. Glymour - 1980 - Princeton University Press.
    The Description for this book, Theory and Evidence, will be forthcoming.
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  • Fodor's holism.Clark Glymour - 1985 - Behavioral and Brain Sciences 8 (1):15-16.
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  • Scientific Inference and Ordinary Cognition: Fodor on Holism and Cognitive Architecture.Tim Fuller & Richard Samuels - 2014 - Mind and Language 29 (2):201-237.
    Do accounts of scientific theory formation and revision have implications for theories of everyday cognition? We maintain that failing to distinguish between importantly different types of theories of scientific inference has led to fundamental misunderstandings of the relationship between science and everyday cognition. In this article, we focus on one influential manifestation of this phenomenon which is found in Fodor's well-known critique of theories of cognitive architecture. We argue that in developing his critique, Fodor confounds a variety of distinct claims (...)
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  • Precis of the modularity of mind.Jerry A. Fodor - 1985 - Behavioral and Brain Sciences 8 (1):1-42.
    The Modularity of Mind proposes an alternative to the or view of cognitive architecture that has dominated several decades of cognitive science. Whereas interactionism stresses the continuity of perceptual and cognitive processes, modularity theory argues for their distinctness. It is argued, in particular, that the apparent plausibility of New Look theorizing derives from the failure to distinguish between the (correct) claim that perceptual processes are inferential and the (dubious) claim that they are unencapsidated, that is, that they are arbitrarily sensitive (...)
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  • Connectionism and cognitive architecture: A critical analysis.Jerry A. Fodor & Zenon W. Pylyshyn - 1988 - Cognition 28 (1-2):3-71.
    This paper explores the difference between Connectionist proposals for cognitive a r c h i t e c t u r e a n d t h e s o r t s o f m o d e l s t hat have traditionally been assum e d i n c o g n i t i v e s c i e n c e . W e c l a i m t h a t t h (...)
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  • The web of belief.W. V. Quine & J. S. Ullian - 1970 - New York,: Random House. Edited by J. S. Ullian.
    A compact, coherent introduction to the study of rational belief, this text provides points of entry to such areas of philosophy as theory of knowledge, methodology of science, and philosophy of language. The book is accessible to all undergraduates and presupposes no philosophical training.
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  • .W. V. Quine - 1966
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  • Causal Models: How People Think About the World and its Alternatives.Steven Sloman - 2005 - Oxford, England: OUP.
    This book offers a discussion about how people think, talk, learn, and explain things in causal terms in terms of action and manipulation. Sloman also reviews the role of causality, causal models, and intervention in the basic human cognitive functions: decision making, reasoning, judgement, categorization, inductive inference, language, and learning.
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  • Lot 2: The Language of Thought Revisited.Jerry A. Fodor - 2008 - New York: Oxford University Press. Edited by Jerry A. Fodor.
    Jerry Fodor presents a new development of his famous Language of Thought hypothesis, which has since the 1970s been at the centre of interdisciplinary debate about how the mind works. Fodor defends and extends the groundbreaking idea that thinking is couched in a symbolic system realized in the brain. This idea is central to the representational theory of mind which Fodor has established as a key reference point in modern philosophy, psychology, and cognitive science. The foundation stone of our present (...)
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  • The Robot's Dilemma: The Frame Problem in Artificial Intelligence.Zenon W. Pylyshyn (ed.) - 1987 - Ablex.
    Each of the chapters in this volume devotes considerable attention to defining and elaborating the notion of the frame problem-one of the hard problems of artificial intelligence. Not only do the chapters clarify the problems at hand, they shed light on the different approaches taken by those in artificial intelligence and by certain philosophers who have been concerned with related problems in their field. The book should therefore not be read merely as a discussion of the frame problem narrowly conceived, (...)
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  • The Mind Doesn’T Work That Way: The Scope and Limits of Computational Psychology.Jerry A. Fodor - 2000 - MIT Press.
    Jerry Fodor argues against the widely held view that mental processes are largely computations, that the architecture of cognition is massively modular, and...
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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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  • Modules, frames, fridgeons, sleeping dogs, and the music of the spheres.Jerry A. Fodor - 1987 - In Modularity In Knowledge Representation And Natural-Language Understanding. Cambridge: MIT Press.
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  • Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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  • Change in View: Principles of Reasoning.Gilbert Harman - 1986 - Studia Logica 48 (2):260-261.
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  • Causal Learning Mechanisms in Very Young Children: Two-, Three-, and Four-Year-Olds Infer Causal Relations From Patterns of Variation and Covariation.Clark Glymour, Alison Gopnik, David M. Sobel & Laura E. Schulz - unknown
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  • Inferentialism.Florian Steinberger & Julien Murzi - 2017 - In Blackwell Companion to Philosophy of Language. Wiley Blackwell. pp. 197-224.
    This article offers an overview of inferential role semantics. We aim to provide a map of the terrain as well as challenging some of the inferentialist’s standard commitments. We begin by introducing inferentialism and placing it into the wider context of contemporary philosophy of language. §2 focuses on what is standardly considered both the most important test case for and the most natural application of inferential role semantics: the case of the logical constants. We discuss some of the (alleged) benefits (...)
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  • Review: The Grand Leap; Reviewed Work: Causation, Prediction, and Search. [REVIEW]Peter Spirtes, Clark Glymour & Richard Scheines - 1996 - British Journal for the Philosophy of Science 47 (1):113-123.
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  • Modules, frames, fridgeons, sleeping dogs, and the music of the spheres.Jerry A. Fodor - 1987 - In Zenon W. Pylyshyn (ed.), The Robot's Dilemma: the Frame Problem in Artificial Intelligence. Ablex. pp. 139--49.
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  • Theory and Evidence.Clark Glymour - 1981 - Philosophy of Science 48 (3):498-500.
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  • Theory and Evidence.Clark Glymour - 1980 - Ethics 93 (3):613-615.
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  • Local Associations and Global Reason: Fodor’s Frame Problem and Second-Order Search.Andy Clark - unknown
    Kleinberg describes a novel procedure for efficient search in a dense hyper-linked environment, such as the world wide web. The procedure exploits information implicit in the links between pages so as to identify patterns of connectivity indicative of “authorative sources”. At a more general level, the trick is to use this second-order link-structure information to rapidly and cheaply identify the knowledge-structures most likely to be relevant given a specific input. I shall argue that Kleinberg’s procedure is suggestive of a new, (...)
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  • Change in View: Principles of Reasoning.Gilbert Harman - 1987 - Mind 96 (382):285-288.
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  • The Automation of Discovery.Clark Glymour - unknown
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  • The Mind Doesn't Work That Way: The Scope and Limits of Computational Psychology.Jerry Fodor - 2001 - Philosophical Quarterly 51 (205):549-552.
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  • The Architecture of the Mind: Massive Modularity and the Flexibility of Thought.Peter Carruthers - 2009 - Critica 41 (122):113-124.
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  • Yes, it does: A diatribe on Jerry Fodor's the mind doesn't work that way.Susan Schneider - 2007 - PSYCHE: An Interdisciplinary Journal of Research On Consciousness.
    The Mind Doesn’t Work That Way is an expose of certain theoretical problems in cognitive science, and in particular, problems that concern the Classical Computational Theory of Mind (CTM). The problems that Fodor worries plague CTM divide into two kinds, and both purport to show that the success of cognitive science will likely be limited to the modules. The first sort of problem concerns what Fodor has called “global properties”; features that a mental sentence has which depend on how the (...)
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