Search results for 'Cognitive grammar' (try it on Scholar)

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  1. Jennifer Culbertson, Paul Smolensky & Colin Wilson (2013). Cognitive Biases, Linguistic Universals, and Constraint‐Based Grammar Learning. Topics in Cognitive Science 5 (3):392-424.score: 102.0
    According to classical arguments, language learning is both facilitated and constrained by cognitive biases. These biases are reflected in linguistic typology—the distribution of linguistic patterns across the world's languages—and can be probed with artificial grammar experiments on child and adult learners. Beginning with a widely successful approach to typology (Optimality Theory), and adapting techniques from computational approaches to statistical learning, we develop a Bayesian model of cognitive biases and show that it accounts for the detailed pattern of (...)
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  2. Peer F. Bundgaard (2004). The Ideal Scaffolding of Language: Husser's Fourth Logical Investigation in the Light of Cognitive Linguistics. [REVIEW] Phenomenology and the Cognitive Sciences 3 (1):49-80.score: 96.0
    One of the central issues in linguistics is whether or not language should be considered a self-contained, autonomous formal system, essentially reducible to the syntactic algorithms of meaning construction (as Chomskyan grammar would have it), or a holistic-functional system serving the means of expressing pre-organized intentional contents and thus accessible with respect to features and structures pertaining to other cognitive subsystems or to human experience as such (as Cognitive Linguistics would have it). The latter claim depends critically (...)
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  3. Bruce Bridgeman (2003). Grammar Originates in Action Planning, Not in Cognitive and Sensorimotor Visual Systems. Behavioral and Brain Sciences 26 (3):287-287.score: 96.0
    While the PREDICATE(x) structure requires close coordination of subject and predicate, both represented in consciousness, the cognitive (ventral), and sensorimotor (dorsal) pathways operate in parallel. Sensorimotor information is unconscious and can contradict cognitive spatial information. A more likely origin of linguistic grammar lies in the mammalian action planning process. Neurological machinery evolved for planning of action sequences becomes applied to planning communicatory sequences.
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  4. Ronald W. Langacker (1986). An Introduction to Cognitive Grammar. Cognitive Science 10 (1):1-40.score: 96.0
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  5. A. B. Markman & E. Dietrich (2000). Box 1. Cognitive Grammar. Trends in Cognitive Sciences 4 (12):470-475.score: 96.0
     
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  6. Frank Brisardi (2013). An Account of English Tense and Aspect in Cognitive Grammar. In Kasia M. Jaszczolt & Louis de Saussure (eds.), Time: Language, Cognition & Reality. Oup Oxford. 1--210.score: 92.0
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  7. Jean Petitot (1995). Morphodynamics and Attractor Syntax: Constituency in Visual Perception and Cognitive Grammar. In Tim van Gelder & Robert Port (eds.), Mind as Motion: Explorations in the Dynamics of Cognition. Mit Press. 227--83.score: 92.0
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  8. Klaas Willems (2011). Meaning and Interpretation: The Semiotic Similarities and Differences Between Cognitive Grammar and European Structural Linguistics. Semiotica 2011 (185):1-50.score: 90.0
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  9. Vyvyan Evans (2009). How Words Mean: Lexical Concepts, Cognitive Models, and Meaning Construction. Oxford University Press.score: 84.0
    These are central to the accounts of lexical representation and meaning construction developed, giving rise to the Theory of Lexical Concepts and Cognitive ...
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  10. Dylan Glynn & Kerstin Fischer (eds.) (2010). Quantitative Methods in Cognitive Semantics: Corpus-Driven Approaches. De Gruyter Mouton.score: 84.0
    Corpus-driven Cognitive Semantics Introduction to the field Dylan Glynn Is quantitative empirical research possible for the study of semantics?1 More ...
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  11. H. Cuyckens, René Dirven & John R. Taylor (eds.) (2003). Cognitive Approaches to Lexical Semantics. Mouton De Gruyter.score: 80.0
    "This book provides a representative survey of early and more recent concerns in cognitively inspired lexical semantics.
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  12. Doug Jones (2010). Human Kinship, From Conceptual Structure to Grammar. Behavioral and Brain Sciences 33 (5):367.score: 78.0
    Research in anthropology has shown that kin terminologies have a complex combinatorial structure and vary systematically across cultures. This article argues that universals and variation in kin terminology result from the interaction of (1) an innate conceptual structure of kinship, homologous with conceptual structure in other domains, and (2) principles of optimal, communication active in language in general. Kin terms from two languages, English and Seneca, show how terminologies that look very different on the surface may result from variation in (...)
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  13. D. Jurafski (forthcoming). {A Cognitive Model of Sentence Comprehension: The Construction Grammar Approach}. {Cognitive Science}.score: 78.0
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  14. Małgorzata Fabiszak (ed.) (2007). Language and Meaning: Cognitive and Functional Perspectives. P. Lang.score: 78.0
  15. Zoltán Dienes & Josef Perner (1999). A Theory of Implicit and Explicit Knowledge. Behavioral And Brain Sciences 22 (5):735-808.score: 72.0
    The implicit-explicit distinction is applied to knowledge representations. Knowledge is taken to be an attitude towards a proposition which is true. The proposition itself predicates a property to some entity. A number of ways in which knowledge can be implicit or explicit emerge. If a higher aspect is known explicitly then each lower one must also be known explicitly. This partial hierarchy reduces the number of ways in which knowledge can be explicit. In the most important type of implicit knowledge, (...)
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  16. Harald Maurer (2009). Paul Smolensky, Géraldine Legendre: The Harmonic Mind. From Neural Computation to Optimality-Theoretic Grammar. Vol. 1: Cognitive Architecture. Vol. 2: Linguistic and Philosophical Implications. [REVIEW] Journal for General Philosophy of Science 40 (1):141-147.score: 72.0
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  17. David Reitter, Frank Keller & Johanna D. Moore (2011). A Computational Cognitive Model of Syntactic Priming. Cognitive Science 35 (4):587-637.score: 72.0
    The psycholinguistic literature has identified two syntactic adaptation effects in language production: rapidly decaying short-term priming and long-lasting adaptation. To explain both effects, we present an ACT-R model of syntactic priming based on a wide-coverage, lexicalized syntactic theory that explains priming as facilitation of lexical access. In this model, two well-established ACT-R mechanisms, base-level learning and spreading activation, account for long-term adaptation and short-term priming, respectively. Our model simulates incremental language production and in a series of modeling studies, we show (...)
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  18. William Ramsey (2009). The Harmonic Mind: From Neural Computation to Optimality-Theoretic Grammar-Volume 1: Cognitive Architecture and Volume 2: Linguistic and Philosophical Implications. [REVIEW] Philosophical Books 50 (3):172-184.score: 72.0
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  19. James Rogers & Geoffrey K. Pullum (2011). Aural Pattern Recognition Experiments and the Subregular Hierarchy. Journal of Logic, Language and Information 20 (3):329-342.score: 72.0
    We explore the formal foundations of recent studies comparing aural pattern recognition capabilities of populations of human and non-human animals. To date, these experiments have focused on the boundary between the Regular and Context-Free stringsets. We argue that experiments directed at distinguishing capabilities with respect to the Subregular Hierarchy, which subdivides the class of Regular stringsets, are likely to provide better evidence about the distinctions between the cognitive mechanisms of humans and those of other species. Moreover, the classes of (...)
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  20. A. Herskovits (1996). Ronald W. Langacker, Concept, Image, and Symbol: The Cognitive Basis of Grammar. Minds and Machines 6:242-248.score: 72.0
  21. Richard J. Tunney & David R. Shanks (2003). Does Opposition Logic Provide Evidence for Conscious and Unconscious Processes in Artificial Grammar Learning? Consciousness and Cognition 12 (2):201-218.score: 68.0
  22. Seana Coulson (2001). Semantic Leaps: Frame-Shifting and Conceptual Blending in Meaning Construction. Cambridge University Press.score: 66.0
    Semantic Leaps explores how people combine knowledge from different domains in order to understand and express new ideas. Concentrating on dynamic aspects of on-line meaning construction, Coulson identifies two related sets of processes: frame-shifting and conceptual blending. Frame-shifting is semantic reanalysis in which existing elements in the contextual representation are reorganized into a new frame. Conceptual blending is a set of cognitive operations for combining partial cognitive models. By addressing linguistic phenomena often ignored in traditional meaning research, Coulson (...)
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  23. Humphrey P. Polanen Van Petel (2006). Universal Grammar as a Theory of Notation. Axiomathes 16 (4):460-485.score: 66.0
    What is common to all languages is notation, so Universal Grammar can be understood as a system of notational types. Given that infants acquire language, it can be assumed to arise from some a priori mental structure. Viewing language as having the two layers of calculus and protocol, we can set aside the communicative habits of speakers. Accordingly, an analysis of notation results in the three types of Identifier, Modifier and Connective. Modifiers are further interpreted as Quantifiers and Qualifiers. (...)
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  24. Barbara Lewandowska-Tomaszczyk (ed.) (1998). Lexical Semantics Cognition and Philosophy. Łódź University Press.score: 66.0
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  25. Marina Rakova (2003). The Extent of the Literal: Metaphor, Polysemy and the Theories of Concepts. Palgrave Macmillan.score: 66.0
    The Extent of the Literal develops a strikingly new approach to metaphor and polysemy in their relation to the conceptual structure. In a straightforward narrative style, the author argues for a reconsideration of standard assumptions concerning the notion of literal meaning and its relation to conceptual structure. She draws on neurophysiological and psychological experimental data in support of a view in which polysemy belongs to the level of words but not to the level of concepts, and thus challenges some seminal (...)
     
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  26. Gilles Fauconnier (1994). Mental Spaces: Aspects of Meaning Construction in Natural Language. Cambridge University Press.score: 60.0
    Mental Spaces is the classic introduction to the study of mental spaces and conceptual projection, as revealed through the structure and use of language. It examines in detail the dynamic construction of connected domains as discourse unfolds. The discovery of mental space organization has modified our conception of language and thought: powerful and uniform accounts of superficially disparate phenomena have become available in the areas of reference, presupposition projection, counterfactual and analogical reasoning, metaphor and metonymy, and time and aspect in (...)
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  27. Dirk Geeraerts (1997). Diachronic Prototype Semantics: A Contribution to Historical Lexicology. Oxford University Press.score: 60.0
    Prototype theory makes a crucial distinction between central and peripheral sense of words. Geeraerts explores the implications of this model for a theory of semantic change, in the first full-scale treatment of the impact of the most recent developments in lexicological theory on the study of meaning change. He identifies structural features of the development of word meanings which follow from a prototype-theoretical model of semantic structure, and incorporates these diachronic prototypicality effects into a theory of meaning change.
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  28. V. V. Bogdanov (2005). Lekt͡sii Po Lingvisticheskoĭ Semantike. Sankt-Peterburgskiĭ Gos. Universitet.score: 60.0
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  29. Geert Brône (2010). Bedeutungskonstitution in Verbalem Humor: Ein Kognitiv-Linguistischer Und Diskurssemantischer Ansatz. Peter Lang.score: 60.0
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  30. Karol Janicki (1999). Against Essentialism: Toward Language Awareness. Lincom Europa.score: 60.0
  31. A. A. Kamalova (ed.) (2006). Pragmatika I Semantika Slova I Teksta: Sbornik Nauchnykh Stateĭ. Pomorskiĭ Universitet.score: 60.0
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  32. Duška Klikovac (2004). Metafore U Mišljenju I Jeziku. Čigoja Štampa.score: 60.0
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  33. P. Pauwels (2000). Put, Set, Lay, and Place: A Cognitve Linguistic Approach to Verbal Meaning. Lincom Europa.score: 60.0
     
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  34. Ray Jackendoff (2003). Précis of Foundations of Language: Brain, Meaning, Grammar, Evolution,. Behavioral and Brain Sciences 26 (6):651-665.score: 54.0
    The goal of this study is to reintegrate the theory of generative grammar into the cognitive sciences. Generative grammar was right to focus on the child's acquisition of language as its central problem, leading to the hypothesis of an innate Universal Grammar. However, generative grammar was mistaken in assuming that the syntactic component is the sole course of combinatoriality, and that everything else is “interpretive.” The proper approach is a parallel architecture, in which phonology, syntax, (...)
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  35. John M. Mikhail (2011). Elements of Moral Cognition: Rawls' Linguistic Analogy and the Cognitive Science of Moral and Legal Judgment. Cambridge University Press.score: 54.0
    Is the science of moral cognition usefully modeled on aspects of Universal Grammar? Are human beings born with an innate "moral grammar" that causes them to analyze human action in terms of its moral structure, with just as little awareness as they analyze human speech in terms of its grammatical structure? Questions like these have been at the forefront of moral psychology ever since John Mikhail revived them in his influential work on the linguistic analogy and its implications (...)
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  36. Nick Chater & Morten H. Christiansen (2010). Language Acquisition Meets Language Evolution. Cognitive Science 34 (7):1131-1157.score: 54.0
    Recent research suggests that language evolution is a process of cultural change, in which linguistic structures are shaped through repeated cycles of learning and use by domain-general mechanisms. This paper draws out the implications of this viewpoint for understanding the problem of language acquisition, which is cast in a new, and much more tractable, form. In essence, the child faces a problem of induction, where the objective is to coordinate with others (C-induction), rather than to model the structure of the (...)
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  37. John Kadvany (2010). Indistinguishable From Magic: Computation is Cognitive Technology. [REVIEW] Minds and Machines 20 (1):119-143.score: 54.0
    This paper explains how mathematical computation can be constructed from weaker recursive patterns typical of natural languages. A thought experiment is used to describe the formalization of computational rules, or arithmetical axioms, using only orally-based natural language capabilities, and motivated by two accomplishments of ancient Indian mathematics and linguistics. One accomplishment is the expression of positional value using versified Sanskrit number words in addition to orthodox inscribed numerals. The second is Pāṇini’s invention, around the fifth century BCE, of a formal (...)
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  38. Judith Gaspers & Philipp Cimiano (2014). A Computational Model for the Item‐Based Induction of Construction Networks. Cognitive Science 38 (2):439-488.score: 54.0
    According to usage-based approaches to language acquisition, linguistic knowledge is represented in the form of constructions—form-meaning pairings—at multiple levels of abstraction and complexity. The emergence of syntactic knowledge is assumed to be a result of the gradual abstraction of lexically specific and item-based linguistic knowledge. In this article, we explore how the gradual emergence of a network consisting of constructions at varying degrees of complexity can be modeled computationally. Linguistic knowledge is learned by observing natural language utterances in an ambiguous (...)
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  39. E. M. Pothos (2009). An Entropy Model for Artificial Grammar Learning. Frontiers in Psychology 1:16-16.score: 54.0
    A model is proposed to characterize the type of knowledge acquired in Artificial Grammar Learning (AGL). In particular, Shannon entropy is employed to compute the complexity of different test items in an AGL task, relative to the training items. According to this model, the more predictable a test item is from the training items, the more likely it is that this item should be selected as compatible with the training items. The predictions of the entropy model are explored in (...)
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  40. M. A. K. Halliday (1999/2006). Construing Experience Through Meaning: A Language-Based Approach to Cognition. Continuum.score: 54.0
  41. Psyche Loui (2012). Learning and Liking of Melody and Harmony: Further Studies in Artificial Grammar Learning. Topics in Cognitive Science 4 (4):554-567.score: 48.0
    Much of what we know and love about music is based on implicitly acquired mental representations of musical pitches and the relationships between them. While previous studies have shown that these mental representations of music can be acquired rapidly and can influence preference, it is still unclear which aspects of music influence learning and preference formation. This article reports two experiments that use an artificial musical system to examine two questions: (1) which aspects of music matter most for learning, and (...)
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  42. Edison Barrios (2012). Knowledge of Grammar and Concept Possession. British Journal for the Philosophy of Science 63 (3):577-606.score: 42.0
    This article deals with the cognitive relationship between a speaker and her internal grammar. In particular, it takes issue with the view that such a relationship is one of belief or knowledge (I call this view the ‘Propositional Attitude View’, or PAV). I first argue that PAV entails that all ordinary speakers (tacitly) possess technical concepts belonging to syntactic theory, and second, that most ordinary speakers do not in fact possess such concepts. Thus, it is concluded that speakers (...)
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  43. Adele A. Abrahamsen & William P. Bechtel (2006). Phenomena and Mechanisms: Putting the Symbolic, Connectionist, and Dynamical Systems Debate in Broader Perspective. In R. Stainton (ed.), Contemporary Debates in Cognitive Science. Basil Blackwell.score: 42.0
    Cognitive science is, more than anything else, a pursuit of cognitive mechanisms. To make headway towards a mechanistic account of any particular cognitive phenomenon, a researcher must choose among the many architectures available to guide and constrain the account. It is thus fitting that this volume on contemporary debates in cognitive science includes two issues of architecture, each articulated in the 1980s but still unresolved:
    • Just how modular is the mind? (section 1) – a (...)
    Our project here is to consider the second issue within the broader context of where cognitive science has been and where it is headed. The notion that cognition in general—not just language processing—involves rules operating on language-like representations actually predates cognitive science. In traditional philosophy of mind, mental life is construed as involving propositional attitudes—that is, such attitudes towards propositions as believing, fearing, and desiring that they be true—and logical inferences from them. On this view, if a person desires that a proposition be true and believes that if she performs a certain action it will become true, she will make the inference and (absent any overriding consideration) perform the action. (shrink)
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  44. John Mikhail (2009). Moral Grammar and Intuitive Jurisprudence: A Formal Model of Unconscious Moral and Legal Knowledge. In B. H. Ross, D. M. Bartels, C. W. Bauman, L. J. Skitka & D. L. Medin (eds.), Psychology of Learning and Motivation, Vol. 50: Moral Judgment and Decision Making. Academic Press.score: 42.0
    Could a computer be programmed to make moral judgments about cases of intentional harm and unreasonable risk that match those judgments people already make intuitively? If the human moral sense is an unconscious computational mechanism of some sort, as many cognitive scientists have suggested, then the answer should be yes. So too if the search for reflective equilibrium is a sound enterprise, since achieving this state of affairs requires demarcating a set of considered judgments, stating them as explanandum sentences, (...)
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  45. Alex Clark & Shalom Lappin, Unsupervised Learning and Grammar Induction.score: 42.0
    In this chapter we consider unsupervised learning from two perspectives. First, we briefly look at its advantages and disadvantages as an engineering technique applied to large corpora in natural language processing. While supervised learning generally achieves greater accuracy with less data, unsupervised learning offers significant savings in the intensive labour required for annotating text. Second, we discuss the possible relevance of unsupervised learning to debates on the cognitive basis of human language acquisition. In this context we explore the implications (...)
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  46. Shane Nicholas Glackin (2011). Universal Grammar and the Baldwin Effect: A Hypothesis and Some Philosophical Consequences. Biology and Philosophy 26 (2):201-222.score: 42.0
    Grammar is now widely regarded as a substantially biological phenomenon, yet the problem of language evolution remains a matter of controversy among Linguists, Cognitive Scientists, and Evolutionary Theorists alike. In this paper, I present a new theoretical argument for one particular hypothesis—that a Language Acquisition Device of the sort first posited by Noam Chomsky might have evolved via the so-called Baldwin Effect . Close attention to the workings of that mechanism, I argue, helps to explain a previously mysterious (...)
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  47. Ronald W. Langacker (1999). A View From Cognitive Linguistics. Behavioral and Brain Sciences 22 (4):625-625.score: 42.0
    Barsalou's contribution converges with basic ideas and empirical findings of cognitive linguistics. They posit the same general architecture. The perceptual grounding of conceptual structure is a central tenet of cognitive linguistics. Our capacity to construe the same situation in alternate ways is fundamental to cognitive semantics, and numerous parallels are discernible between conceptual construal and visual perception. Grammar is meaningful, consisting of schematized patterns for the pairing of semantic and phonological structures. The meanings of grammatical elements (...)
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  48. Michael Tomasello (2009). Universal Grammar is Dead. Behavioral and Brain Sciences 32 (5):470-471.score: 42.0
    The idea of a biologically evolved, universal grammar with linguistic content is a myth, perpetuated by three spurious explanatory strategies of generative linguists. To make progress in understanding human linguistic competence, cognitive scientists must abandon the idea of an innate universal grammar and instead try to build theories that explain both linguistic universals and diversity and how they emerge.
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  49. Rosemary Varley & Michael Siegal (2001). Words, Grammar, and Number Concepts: Evidence From Development and Aphasia. Behavioral and Brain Sciences 24 (6):1120-1121.score: 42.0
    Bloom's book underscores the importance of specifying the role of words and grammar in cognition. We propose that the cognitive power of language lies in the lexicon rather than grammar. We suggest ways in which studies involving children and patients with aphasia can provide insights into the basis of abstract cognition in the domain of number and mathematics.
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  50. Margaret Boden (2008). Mind as Machine: A History of Cognitive Science. OUP Oxford.score: 42.0
    The development of cognitive science is one of the most remarkable and fascinating intellectual achievements of the modern era. The quest to understand the mind is as old as recorded human thought; but the progress of modern science has offered new methods and techniques which have revolutionized this enquiry. Oxford University Press now presents a masterful history of cognitive science, told by one of its most eminent practitioners. -/- Cognitive science is the project of understanding the mind (...)
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