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Added by: Björn Freter, Contributed by: Saranga Sudarshan
Publisher's Note: Only human beings have a rich conceptual repertoire with concepts like tort, entropy, Abelian group, mannerism, icon and deconstruction. How have humans constructed these concepts? And once they have been constructed by adults, how do children acquire them? While primarily focusing on the second question, in The Origin of Concepts , Susan Carey shows that the answers to both overlap substantially.
Carey begins by characterizing the innate starting point for conceptual development, namely systems of core cognition. Representations of core cognition are the output of dedicated input analyzers, as with perceptual representations, but these core representations differ from perceptual representations in having more abstract contents and richer functional roles. Carey argues that the key to understanding cognitive development lies in recognizing conceptual discontinuities in which new representational systems emerge that have more expressive power than core cognition and are also incommensurate with core cognition and other earlier representational systems. Finally, Carey fleshes out Quinian bootstrapping, a learning mechanism that has been repeatedly sketched in the literature on the history and philosophy of science. She demonstrates that Quinian bootstrapping is a major mechanism in the construction of new representational resources over the course of childrens cognitive development.
Carey shows how developmental cognitive science resolves aspects of long-standing philosophical debates about the existence, nature, content, and format of innate knowledge. She also shows that understanding the processes of conceptual development in children illuminates the historical process by which concepts are constructed, and transforms the way we think about philosophical problems about the nature of concepts and the relations between language and thought.
Comment: Brilliant presentation of the latest view in developmental psychology on the nature of concepts.Matthen, Mohan. How Things Look (and What Things Look That Way)2010, In Bence Nanay (ed.), Perceiving the World. Oxford University Press.-
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Added by: Andrea Blomqvist, Contributed by: Will HornettAbstract: What colour does a white wall look in the pinkish light of the late afternoon? What shape does a circular table look when you are standing next to it? These questions seem simple enough, but philosophers disagree sharply about them. In this paper, I attempt to provide a new approach to these questions, based on the idea that perception modifies our epistemic dispositions regarding specific environmental objects. I shall argue that by determining which object is involved in this way, we can determine the subject of visual predication. This enables us to parcel out visual features to different visual objects in a way that enables us to reconcile conflicting philosophical intuitions.Comment: Matthen's discussion of perceptual constancy is very clear and is centered on a philosophical analysis of the perceptual psychology. For this reason, it serves as a useful empirically informed companion to other philosophical discussions of perceptual constancy which are less empirically informed. It would be great in a third year or postgraduate course in Philosophy of Perception.Spaulding, Shannon. Mind Misreading2016, Philosophical Issues 26 (1): 422-440.
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Added by: Andrea BlomqvistAbstract: Most people think of themselves as pretty good at understanding others' beliefs, desires, emotions, and intentions. Accurate mindreading is an impressive cognitive feat, and for this reason the philosophical literature on mindreading has focused exclusively on explaining such successes. However, as it turns out, we regularly make mindreading mistakes. Understanding when and how mind misreading occurs is crucial for a complete account of mindreading. In this paper, I examine the conditions under which mind misreading occurs. I argue that these patterns of mind misreading shed light on the limits of mindreading, reveal new perspectives on how mindreading works, and have implications for social epistemology.Comment: Unlike most papers in the mindreading debate, this paper focuses on the cases in which we fail to mindread. It relates these cases to self-awareness, and suggests how this could be explored to shed light on peer disagreement and epistemic injustice. This paper would fit in well in a social cognition syllabus.Spaulding, Shannon. Mirror Neurons and Social Cognition2013, Mind and Language 28 (2):233-257
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Added by: Andrea BlomqvistAbstract: Mirror neurons are widely regarded as an important key to social cognition. Despite such wide agreement, there is very little consensus on how or why they are important. The goal of this paper is to clearly explicate the exact role mirror neurons play in social cognition. I aim to answer two questions about the relationship between mirroring and social cognition: What kind of social understanding is involved with mirroring? How is mirroring related to that understanding? I argue that philosophical and empirical considerations lead us to accord a fairly minimal role for mirror neurons in social cognition.Comment: What processes enable mindreading is a prominent debate in social cognition. A view that has been proposed in recent years is that mirror neurons play a role in mindreading (for example suggested by Goldman, 2006). However, exactly which conclusions mirror neuron research allows us to draw is controversial, and here Spaulding provides interesting objections to a prominent mirror neuron study. This paper is particularly suitable in a social cognition module.Hurley, Susan. Animal Action in the Space of Reasons2003, Mind and Language 18(3): 231-256.
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Added by: Nick NovelliAbstract: I defend the view that we should not overintellectualize the mind. Nonhuman animals can occupy islands of practical rationality: they can have contextbound reasons for action even though they lack full conceptual abilities. Holism and the possibility of mistake are required for such reasons to be the agent's reasons, but these requirements can be met in the absence of inferential promiscuity. Empirical work with animals is used to illustrate the possibility that reasons for action could be bound to symbolic or social contexts, and connections are made to simulationist accounts of cognitive skills.Comment: An excellent argument in favour of a less-intellectual criteria for reason-having. The arguments are clear and compelling, though at least some familiarity with action theory would be helpful to give proper context. Recommended for higher-level or more in-depth examinations of reasons, as its relevance is partly dependent on some of the other arguments made on the subject.Sterrett, Susan G.. Turing’s Two Tests For Intelligence2000, Minds and Machines 10(4): 541-559.
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Added by: Nick Novelli, Contributed by: Susan G. SterrettAbstract: On a literal reading of `Computing Machinery and Intelligence'', Alan Turing presented not one, but two, practical tests to replace the question `Can machines think?'' He presented them as equivalent. I show here that the first test described in that much-discussed paper is in fact not equivalent to the second one, which has since become known as `the Turing Test''. The two tests can yield different results; it is the first, neglected test that provides the more appropriate indication of intelligence. This is because the features of intelligence upon which it relies are resourcefulness and a critical attitude to one''s habitual responses; thus the test''s applicablity is not restricted to any particular species, nor does it presume any particular capacities. This is more appropriate because the question under consideration is what would count as machine intelligence. The first test realizes a possibility that philosophers have overlooked: a test that uses a human''s linguistic performance in setting an empirical test of intelligence, but does not make behavioral similarity to that performance the criterion of intelligence. Consequently, the first test is immune to many of the philosophical criticisms on the basis of which the (so-called) `Turing Test'' has been dismissed.Comment: This paper provides a good analysis of some of the problems with the Turing Test and how they can be avoided. It can be good to use in teaching the classic Turing 1950 paper on the question of whether a computer could be said to 'think' that considers the role of gender in the imitation game version of the test. It could also contribute to an examination of the concept of intelligence, and machine intelligence in particular.Egan, Frances. Folk psychology and cognitive architecture1995, Philosophy of Science 62(2): 179-96.
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Added by: Nick NovelliAbstract: It has recently been argued that the success of the connectionist program in cognitive science would threaten folk psychology. I articulate and defend a "minimalist" construal of folk psychology that comports well with empirical evidence on the folk understanding of belief and is compatible with even the most radical developments in cognitive science.Comment: A good defense of folk psychology. Would be a good inclusion in a course on philosophy of mind/philosophy of cognitive science to show that scepticism need not be taken to extremes.Egan, Frances. Computational models: a modest role for content2010, Studies in History and Philosophy of Science Part A 41(3): 253-259.
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Added by: Nick NovelliAbstract: The computational theory of mind construes the mind as an information-processor and cognitive capacities as essentially representational capacities. Proponents of the view claim a central role for representational content in computational models of these capacities. In this paper I argue that the standard view of the role of representational content in computational models is mistaken; I argue that representational content is to be understood as a gloss on the computational characterization of a cognitive process.Comment: Good paper about the relation of representation and content to computation. Best suited to higher-level courses on the subject.Egan, Frances. Representationalism2012, In Eric Margolis, Richard Samuels & Stephen Stich (eds.), The Oxford Handbook of Philosophy and Cognitive Science, OUP, 250-272.
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Added by: Nick NovelliAbstract: Representationalism, in its most widely accepted form, is the view that the human mind is an information-using system, and that human cognitive capacities are to be understood as representational capacities. This chapter distinguishes several distinct theses that go by the name "representationalism," focusing on the view that is most prevalent in cogntive science. It also discusses some objections to the view and attempts to clarify the role that representational content plays in cognitive models that make use of the notion of representation.Comment: A very good overview of representationalism. Suitable for a preliminary introduction to the topic.Bechtel, William P., Jennifer Mundale. Multiple realizability revisited: Linking cognitive and neural states1999, Philosophy of Science 66 (2): 175-207.
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Added by: Nick NovelliAbstract: The claim of the multiple realizability of mental states by brain states has been a major feature of the dominant philosophy of mind of the late 20th century. The claim is usually motivated by evidence that mental states are multiply realized, both within humans and between humans and other species. We challenge this contention by focusing on how neuroscientists differentiate brain areas. The fact that they rely centrally on psychological measures in mapping the brain and do so in a comparative fashion undercuts the likelihood that, at least within organic life forms, we are likely to find cases of multiply realized psychological functions.Comment: One of the better arguments against multiple realizability. Could be used in any philosophy of mind course where that claim arises as a demonstration of how it could be challenged. A good deal of discussion about neuroscientific practices and methods, but not excessively technical.
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Carey, Susan. The Origin of Concepts
2009, Oxford: Oxford University Press