Results for 'transformation rules, learning of miniature linguistic systems'

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  1.  18
    Transformation rules in the learning of miniature linguistic systems.Kirk H. Smith & Philip B. Gough - 1969 - Journal of Experimental Psychology 79 (2p1):276.
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  2.  12
    An analysis of learning in a miniature linguistic system.Donald J. Foss - 1968 - Journal of Experimental Psychology 76 (3p1):450.
  3.  10
    Dialogue, Horizon and Chronotope: Using Bakhtin’s and Gadamer’s Ideas to Frame Online Teaching and Learning.Peter Rule - forthcoming - Studies in Philosophy and Education:1-19.
    The information explosion and digital modes of learning often combine to inform the quest for the best ways of transforming information in digital form for pedagogical purposes. This quest has become more urgent and pervasive with the ‘turn’ to online learning in the context of COVID-19. This can result in linear, asynchronous, transmission-based modes of teaching and learning which commodify, package and deliver knowledge for individual ‘customers’. The primary concerns in such models are often technical and economic (...)
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  4.  11
    The dynamics of the linguistic system: usage, conventionalization, and entrenchment.Hans-Jörg Schmid - 2020 - New York, NY: Oxford University Press.
    This volume outlines a model of language that can be characterized as functionalist, usage-based, dynamic, and complex-adaptive. The core idea is that linguistic structure is not stable and uniform, but continually refreshed by the interaction between three components: usage, the communicative activities of speakers; conventionalization, the social processes triggered by these activities and feeding back into them; and entrenchment, the individual cognitive processes that are also linked to these activities in a feedback loop. Hans-Joerg Schmid explains how this multiple (...)
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  5.  28
    Deep Learning and Linguistic Representation.Shalom Lappin - 2021 - Chapman & Hall/Crc.
    The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic (...)
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  6. A Loosely Wittgensteinian Conception of the Linguistic Understanding of Large Language Models like BERT, GPT-3, and ChatGPT.Reto Gubelmann - 2023 - Grazer Philosophische Studien 99 (4):485-523.
    In this article, I develop a loosely Wittgensteinian conception of what it takes for a being, including an AI system, to understand language, and I suggest that current state of the art systems are closer to fulfilling these requirements than one might think. Developing and defending this claim has both empirical and conceptual aspects. The conceptual aspects concern the criteria that are reasonably applied when judging whether some being understands language; the empirical aspects concern the question whether a given (...)
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  7.  16
    Relations Between Elements of Sentence in the Light of the Syntactic Connection.Yaşar Daşkiran - 2019 - Cumhuriyet İlahiyat Dergisi 23 (1):255-272.
    This research aims to show grammatical relations between the elements of the sentence based around the syntactic connection. The phenomenon of syntactic connection is one of the basic concepts for al-Jurjānī’s theory of nazm (construction). This view, which makes more understanding the structure of Arabic sentence, is studied in the light of the ideas of classic and modernists linguists. This attempt to facilitate Arabic grammar has continued routinely from relationships between grammar and meaning. The integration of grammar, which consists of (...)
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  8.  14
    Modelling with Words: Learning, Fusion, and Reasoning Within a Formal Linguistic Representation Framework.Jonathan Lawry - 2003 - Springer Verlag.
    Modelling with Words is an emerging modelling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh. This book is an authoritative collection of key contributions to the new concept of Modelling with Words. A wide range of issues in systems modelling and analysis is presented, extending from conceptual graphs and fuzzy quantifiers to humanist computing and self-organizing maps. Among the core issues investigated are - balancing predictive accuracy and high level transparency in learning (...)
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  9. The Linguistic Analogy: Motivations, Results, and Speculations.Susan Dwyer, Bryce Huebner & Marc D. Hauser - 2010 - Topics in Cognitive Science 2 (3):486-510.
    Inspired by the success of generative linguistics and transformational grammar, proponents of the linguistic analogy (LA) in moral psychology hypothesize that careful attention to folk-moral judgments is likely to reveal a small set of implicit rules and structures responsible for the ubiquitous and apparently unbounded capacity for making moral judgments. As a theoretical hypothesis, LA thus requires a rich description of the computational structures that underlie mature moral judgments, an account of the acquisition and development of these structures, and (...)
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  10.  32
    Transformative agroecology learning in Europe: building consciousness, skills and collective capacity for food sovereignty.Colin R. Anderson, Chris Maughan & Michel P. Pimbert - 2019 - Agriculture and Human Values 36 (3):531-547.
    Agroecology has been proposed as a key building block for food sovereignty. This article examines the meaning, practices and potentials of ‘transformative agroecology learning’ as a collective strategy for food system transformation. Our study is based on our qualitative and action research with the European Coordination of Via Campesina to develop the European Agroecology Knowledge Exchange Network. This network is linked to the global network of La Via Campesina and builds on the strong experiences and traditions of popular (...)
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  11.  10
    Could a Computer Learn to Be an Appeals Court Judge? The Place of the Unspeakable and Unwriteable in All-Purpose Intelligent Systems.John Woods - 2022 - Philosophies 7 (5):95.
    I will take it that general intelligence is intelligence of the kind that a typical human being—Fred, say—manifests in his role as a cognitive agent, that is, as an acquirer, receiver and circulator of knowledge in his cognitive economy. Framed in these terms, the word “general” underserves our ends. Hereafter our questions will bear upon the all-purpose intelligence of beings like Fred. Frederika appears as Fred’s AI-counterpart, not as a fully programmed and engineered being, but as a presently unrealized theoretical (...)
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  12. Representation and rule-instantiation in connectionist systems.Gary Hatfield - 1991 - In Terence E. Horgan & John L. Tienson (eds.), Connectionism and the Philosophy of Mind. Kluwer Academic Publishers.
    There is disagreement over the notion of representation in cognitive science. Many investigators equate representations with symbols, that is, with syntactically defined elements in an internal symbol system. In recent years there have been two challenges to this orthodoxy. First, a number of philosophers, including many outside the symbolist orthodoxy, have argued that "representation" should be understood in its classical sense, as denoting a "stands for" relation between representation and represented. Second, there has been a growing challenge to orthodoxy under (...)
     
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  13.  3
    Influences of First and Second Language Phonology on Spanish Children Learning to Read in English.Carmen Hevia-Tuero, Sara Incera & Paz Suárez-Coalla - 2022 - Frontiers in Psychology 13.
    Children learning to read in two different orthographic systems are exposed to cross-linguistic interferences. We explored the effects of school and grade on phonological activation during a visual word recognition task. Elementary school children from Spain completed a lexical decision task in English. The task included real words and pseudohomophones following Spanish or English phonological rules. Using the mouse-tracking paradigm, we analyzed errors, reaction times, and computer mouse movements. Children in the bilingual school performed better than children (...)
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  14.  22
    Decentralized fuzzy linguistic control of multiple robotic manipulators with guaranteed global stability.Yongqing Fan, Wenqing Wang, Xiangkui Jiang & Zhen Li - 2019 - Interaction Studies 20 (1):185-204.
    A decentralized adaptive control based on human linguistic is investigated to learn human behaviors for multiple robotic manipulators. Many experts’ words or sentences can be transferred into the control actions by employing membership functions in robot systems, which can be synthesized fuzzy controller by employing reasoning mechanism. For the unknown model dynamical robot manipulators, one adjustable parameter that relates to the approximation accuracy of fuzzy logic systems is introduced at first, which be utilized to deal with the (...)
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  15.  52
    Rules Versus Statistics: Insights From a Highly Inflected Language.Jelena Mirković, Mark S. Seidenberg & Marc F. Joanisse - 2011 - Cognitive Science 35 (4):638-681.
    Inflectional morphology has been taken as a paradigmatic example of rule-governed grammatical knowledge (Pinker, 1999). The plausibility of this claim may be related to the fact that it is mainly based on studies of English, which has a very simple inflectional system. We examined the representation of inflectional morphology in Serbian, which encodes number, gender, and case for nouns. Linguists standardly characterize this system as a complex set of rules, with disagreements about their exact form. We present analyses of a (...)
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  16.  11
    Accent labeling algorithm based on morphological rules and machine learning in English conversion system.Pljonkin Anton Pavlovich, Pradeep Kumar Singh & Xiaofeng Liu - 2021 - Journal of Intelligent Systems 30 (1):881-892.
    The dependency of a speech recognition system on the accent of a user leads to the variation in its performance, as the people from different backgrounds have different accents. Accent labeling and conversion have been reported as a prospective solution for the challenges faced in language learning and various other voice-based advents. In the English TTS system, the accent labeling of unregistered words is another very important link besides the phonetic conversion. Since the importance of the primary stress is (...)
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  17.  75
    Breve storia dell'etica.Sergio Cremaschi - 2012 - Roma RM, Italia: Carocci.
    The book reconstructs the history of Western ethics. The approach chosen focuses the endless dialectic of moral codes, or different kinds of ethos, moral doctrines that are preached in order to bring about a reform of existing ethos, and ethical theories that have taken shape in the context of controversies about the ethos and moral doctrines as means of justifying or reforming moral doctrines. Such dialectic is what is meant here by the phrase ‘moral traditions’, taken as a name for (...)
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  18. Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5.Florentin Smarandache - 2023 - Edited by Smarandache Florentin, Dezert Jean & Tchamova Albena.
    This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some (...)
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  19.  58
    Tableaux and Dual Tableaux: Transformation of Proofs.Joanna Golińska-Pilarek & Ewa Orłowska - 2007 - Studia Logica 85 (3):283-302.
    We present two proof systems for first-order logic with identity and without function symbols. The first one is an extension of the Rasiowa-Sikorski system with the rules for identity. This system is a validity checker. The rules of this system preserve and reflect validity of disjunctions of their premises and conclusions. The other is a Tableau system, which is an unsatisfiability checker. Its rules preserve and reflect unsatisfiability of conjunctions of their premises and conclusions. We show that the two (...)
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  20.  8
    Emptiness and desire in the first rule of logic.Jamin Pelkey - 2018 - Sign Systems Studies 46 (4):467-490.
    Charles Sanders Peirce’s first rule of logic (EP 2.48, 1898) identifies the inception point of human inquiry. Taking a closer look at this principle, we find at its core a necessary relationship between emptiness and desire that underlies all genuine instances of human learning and adaptation. This composite relationship plays a critical role in the function or failure of learning but has received scant attention in the literature. As a result, the complexities of the first rule of logic (...)
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  21. Cross-linguistic semantics.Maria Bittner - 1994 - Linguistics and Philosophy 17 (1):53 - 108.
    Rooth & Partee (1982) and Rooth (1985) have shown that the English-specific rule-by-rule system of PTQ can be factored out into function application plus two transformations for resolving type mismatch (type lifting and variable binding). Building on these insights, this article proposes a universal system for type-driven translation, by adding two more innovations: local type determination for gaps (generalizing Montague 1973) and a set of semantic filters (extending Cooper 1983). This system, dubbed Cross-Linguistic Semantics (XLS), is shown to account (...)
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  22.  19
    Input and output transformations from magnitude estimation.Stanley J. Rule, Dwight W. Curtis & Robert P. Markley - 1970 - Journal of Experimental Psychology 86 (3):343.
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  23. Linguistic Competence and New Empiricism in Philosophy and Science.Vanja Subotić - 2023 - Dissertation, University of Belgrade
    The topic of this dissertation is the nature of linguistic competence, the capacity to understand and produce sentences of natural language. I defend the empiricist account of linguistic competence embedded in the connectionist cognitive science. This strand of cognitive science has been opposed to the traditional symbolic cognitive science, coupled with transformational-generative grammar, which was committed to nativism due to the view that human cognition, including language capacity, should be construed in terms of symbolic representations and hardwired rules. (...)
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  24.  27
    Magnitude judgments and difference judgments of lightness and darkness: A two-stage analysis.Stanley J. Rule, Ronald C. Laye & Dwight W. Curtis - 1974 - Journal of Experimental Psychology 103 (6):1108.
  25. A Systems Approach to Understanding Transformation in Learning Communities.M. J. Fleener & D. B. Rodgers - 1999 - Journal of Thought 34:9-22.
     
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  26.  81
    Rule following and tacit knowledge.Kjell S. Johannessen - 1988 - AI and Society 2 (4):287-301.
    This paper discusses the interrelationship between wisdom, science and craft from the perspective of the Wittgenstein concept of tacit knowledge. It challenges the notion of the ‘rules-model’ as put forward by Logical Positivists, and shows the limitation of this model for describing the tacit dimension of knowledge. The paper demonstrates the crucial role of practice in ‘rule-following’ in the real world. It is held that ‘to follow a rule’ is to practice a custom, a usage or an institutional practice. Hence, (...)
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  27.  20
    A Social Approach to Rule Dynamics Using an Agent‐Based Model.Christine Cuskley, Vittorio Loreto & Simon Kirby - 2018 - Topics in Cognitive Science 10 (4):745-758.
    A well-trod debate at the nexus of cognitive science and linguistics, the so-called past tense debate, has examined how rules and exceptions are individually acquired. However, this debate focuses primarily on individual mechanisms in learning, saying little about how rules and exceptions function from a sociolinguistic perspective. To remedy this, we use agent-based models to examine how rules and exceptions function across populations. We expand on earlier work by considering how repeated interaction and cultural transmission across speakers affects the (...)
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  28. Bakhtin and Freire: Dialogue, dialectic and boundary learning.Peter Rule - 2011 - Educational Philosophy and Theory 43 (9):924-942.
    Dialogue is a seminal concept within the work of the Brazilian adult education theorist, Paulo Freire, and the Russian literary critic and philosopher, Mikhail Bakhtin. While there are commonalities in their understanding of dialogue, they differ in their treatment of dialectic. This paper addresses commonalities and dissonances within a Bakhtin-Freire dialogue on the notions of dialogue and dialectic. It then teases out some of the implications for education theory and practice in relation to two South African contexts of learning (...)
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  29. Characteristics of dissociable human learning systems.David R. Shanks & Mark F. St John - 1994 - Behavioral and Brain Sciences 17 (3):367-447.
    A number of ways of taxonomizing human learning have been proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems. This combines two further distinctions, (1) between learning that takes place with versus without concurrent awareness, and (2) between learning that involves the encoding of instances (or fragments) versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. (...)
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  30.  44
    Languages of thought need to be distinguished from learning mechanisms, and nothing yet rules out multiple distinctively human learning systems.Michael Tetzlaff & Peter Carruthers - 2008 - Behavioral and Brain Sciences 31 (2):148-149.
    We distinguish the question whether only human minds are equipped with a language of thought (LoT) from the question whether human minds employ a single uniquely human learning mechanism. Thus separated, our answer to both questions is negative. Even very simple minds employ a LoT. And the comparative data reviewed by Penn et al. actually suggest that there are many distinctively human learning mechanisms.
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  31.  4
    Learning from others: Exchange of classification rules in intelligent distributed systems.Dominik Fisch, Martin Jänicke, Edgar Kalkowski & Bernhard Sick - 2012 - Artificial Intelligence 187-188 (C):90-114.
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  32.  90
    Characteristics of dissociable human learning systems.David R. Shanks & Mark F. St John - 1994 - Behavioral and Brain Sciences 17 (3):367-395.
    A number of ways of taxonomizing human learning have been proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems. This combines two further distinctions, between learning that takes place with versus without concurrent awareness, and between learning that involves the encoding of instances versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. We examine the evidence (...)
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  33.  7
    Rough Sets and ID3 Rule Learning: Tutorial and Application to Hepatitis Data.D. Tsaptsinos - 1998 - Journal of Intelligent Systems 8 (1-2):203-223.
  34.  28
    The acquisition of allophonic rules: Statistical learning with linguistic constraints.Sharon Peperkamp, Rozenn Le Calvez, Jean-Pierre Nadal & Emmanuel Dupoux - 2006 - Cognition 101 (3):B31-B41.
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  35.  11
    Transformation of the environmental regulatory system in Poland during the 1990s.Halina Szejnwald Brown - 2007 - Knowledge, Technology & Policy 19 (4):26-43.
    This paper examines the transformation of environmental regulatory system in Poland during the 1990s. It is a case of institutional transplantation from the past into the present: the place remained constant but the economic and political context rapidly changed over time. Drawing on five case studies of privatized firms, a mailed questionnaire, and policy and institutional analysis, it investigates how Poland developed an effective system for managing industrial pollution while also achieving considerable socioeconomic progress. One key lesson is that (...)
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  36. Rules of Tajweed the Holy Quran Intelligent Tutoring System.Alaa N. Akkila & Samy S. Abu-Naser - 2018 - International Journal of Academic Pedagogical Research (IJAPR) 2 (3):7-20.
    Undeniably, the greatest way for a Moslem to be closer to Allah, is recitation of Holy-Quran approves with the method conveyed from Messenger of Allah Mohammed from the feature of speech points of letters and the intrinsic and fleeting characteristics of the letters, So, there is a persistent need to teach all Moslems the science of Tajweed Al-Quran. ITS (Intelligent Tutoring System) is computer software that supplies direct and tailored training or response to students without human teacher interfering. The main (...)
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  37.  13
    Learning Health Systems and the Revised Common Rule.Joshua A. Rolnick - 2019 - Journal of Law, Medicine and Ethics 47 (2):238-246.
    Quality improvement is an important function of learning health systems, and public policy should promote QI activities. Use of systematic methodologies in QI has prompted substantial confusion regarding when QI is human subjects research under the Common Rule, and this confusion persists with the revised Rule. Difficulty distinguishing research from QI imposes costs on the quality improvement process. I offer guidance to IRBs to mitigate these costs and suggest a new regulatory exclusion for minimal risk quality improvement activities.
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  38.  11
    Facts and Rules: Incidence of the Social Environment in the Understanding and Elaboration of Law, from the Communicational Theory of Law.Adolfo J. Sánchez Hidalgo - forthcoming - International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique:1-22.
    The Communicational Theory of Law (CTL) usually differentiates between Legal Sociology and Legal Theory, in the sense that Legal Sociology is concerned with the social validity of the rules and Legal Theory with the formal or legal validity of the rules. It can be argued that both disciplines are two different perspectives of the same empirical reality (legal rules). Also, legal System and social milieu are two closely linked realities; they cannot be separated because they need each other. The Law (...)
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  39.  52
    Strategy shifts and expertise in solving transformation rule problems.Vanessa J. Clarke Koen Lamberts - 1997 - Thinking and Reasoning 3 (4):271 – 290.
    The acquisition of expertise in formal problem solving has been assumed to involve either a shift from backwards to forwards inference, or a shift from unguided to guided forwards inference. In a longitudinal study, the acquisition of formal problem-solving expertise was investigated. Participants were tested as novices before undertaking controlled practice in the problem domain which involved transformation rule problems , and were finally tested as experts. The direction of inference in problem solutions was found to be inadequate to (...)
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  40.  24
    Passing theories through topical heuristics: Donald Davidson, Aristotle, and the conditions of discursive competence.Stephen R. Yarbrough - 2004 - Philosophy and Rhetoric 37 (1):72-91.
    In lieu of an abstract, here is a brief excerpt of the content:Philosophy and Rhetoric 37.1 (2004) 72-91 [Access article in PDF] Passing Theories through Topical Heuristics: Donald Davidson, Aristotle, and the Conditions of Discursive Competence Stephen R. Yarbrough Department of English The University of North Carolina at Greensboro What are the conditions of discursive competence? In "A Nice Derangement of Epitaphs" Donald Davidson explains how it is possible that in practice we can, with little effort, understand and appropriately respond (...)
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  41.  10
    Order Matters! Influences of Linear Order on Linguistic Category Learning.Dorothée B. Hoppe, Jacolien Rij, Petra Hendriks & Michael Ramscar - 2020 - Cognitive Science 44 (11):e12910.
    Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers (premarkers, e.g., gendered articles) or succeeding category markers (postmarkers, e.g., gendered suffixes). Given that numerous systems for marking grammatical categories exist in natural languages, it follows that a better understanding of these findings can shed light on the factors underlying this diversity. In two discriminative learning simulations and an (...)
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  42.  13
    Order Matters! Influences of Linear Order on Linguistic Category Learning.Dorothée B. Hoppe, Jacolien van Rij, Petra Hendriks & Michael Ramscar - 2020 - Cognitive Science 44 (11):e12910.
    Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers (premarkers, e.g., gendered articles) or succeeding category markers (postmarkers, e.g., gendered suffixes). Given that numerous systems for marking grammatical categories exist in natural languages, it follows that a better understanding of these findings can shed light on the factors underlying this diversity. In two discriminative learning simulations and an (...)
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  43. A Contextualist Account of the Linguistic Reality.Maciej Witek - 2008 - In Joanna Odrowąż-Sypniewska (ed.), Logic, Methodology and Philosophy of Science at Warsaw University 4. Semper.
    In this paper I consider the idea of external language and examine the role it plays in our understanding of human linguistic practice. Following Michael Devitt, I assume that the subject matter of a linguistic theory is not a psychologically real computational module, but a semiotic system of physical entities equipped with linguistic properties. 2 What are the physical items that count as linguistic tokens and in virtue of what do they possess phonetic, syntactic and semantic (...)
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  44.  43
    Reclaiming the human stratum, acknowledging the complexity of social behaviour: From the linguistic turn to the social cube in theory of decision-making.Touko Piiparinen - 2006 - Journal for the Theory of Social Behaviour 36 (4):425–452.
    Roy Bhaskar's Social Cube model based on critical realist philosophy has not been dealt with in theory of decision-making at any length, nor has it raised any notable debate in social theory in general. The model demonstrates that decision-making is regulated and transformed by a constantly evolving complexity of mechanisms emerging from physical, mental, material, human and social levels of reality. With the help of this device, Graham Allison's argument against the Rational Actor Model that decisions are not so much (...)
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  45.  51
    The meaning of representation in animal memory.H. L. Roitblat - 1982 - Behavioral and Brain Sciences 5 (3):353-372.
    A representation is a remnant of previous experience that allows that experience to affect later behavior. This paper develops a metatheoretical view of representation and applies it to issues concerning representation in animals. To describe a representational system one must specify the following: thedomainor range of situations in the represented world to which the system applies; thecontentor set of features encoded and preserved by the system; thecodeor transformational rules relating features of the representation to the corresponding features of the represented (...)
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  46.  42
    Learning General Phonological Rules From Distributional Information: A Computational Model.Shira Calamaro & Gaja Jarosz - 2015 - Cognitive Science 39 (3):647-666.
    Phonological rules create alternations in the phonetic realizations of related words. These rules must be learned by infants in order to identify the phonological inventory, the morphological structure, and the lexicon of a language. Recent work proposes a computational model for the learning of one kind of phonological alternation, allophony . This paper extends the model to account for learning of a broader set of phonological alternations and the formalization of these alternations as general rules. In Experiment 1, (...)
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  47.  95
    Transforming knowledge systems for life on Earth: Visions of future systems and how to get there.Ioan Fazey, Niko Schäpke, Guido Caniglia, Anthony Hodgson, Ian Kendrick, Christopher Lyon, Glenn Page, James Patterson, Chris Riedy, Tim Strasser, Stephan Verveen, David Adams, Bruce Goldstein, Matthias Klaes, Graham Leicester, Alison Linyard, Adrienne McCurdy, Paul Ryan, Bill Sharpe, Giorgia Silvestri, Ali Yansyah Abdurrahim, David Abson, Olufemi Samson Adetunji, Paulina Aldunce, Carlos Alvarez-Pereira, Jennifer Marie Amparo, Helene Amundsen, Lakin Anderson, Lotta Andersson, Michael Asquith, Karoline Augenstein, Jack Barrie, David Bent, Julia Bentz, Arvid Bergsten, Carol Berzonsky, Olivia Bina, Kirsty Blackstock, Joanna Boehnert, Hilary Bradbury, Christine Brand, Jessica Böhme, Marianne Mille Bøjer, Esther Carmen, Lakshmi Charli-Joseph, Sarah Choudhury, Supot Chunhachoti-Ananta, Jessica Cockburn, John Colvin, Irena L. C. Connon & Rosalind Cornforth - 2020 - Energy Research and Social Science 70.
    Formalised knowledge systems, including universities and research institutes, are important for contemporary societies. They are, however, also arguably failing humanity when their impact is measured against the level of progress being made in stimulating the societal changes needed to address challenges like climate change. In this research we used a novel futures-oriented and participatory approach that asked what future envisioned knowledge systems might need to look like and how we might get there. Findings suggest that envisioned future (...) will need to be much more collaborative, open, diverse, egalitarian, and able to work with values and systemic issues. They will also need to go beyond producing knowledge about our world to generating wisdom about how to act within it. To get to envisioned systems we will need to rapidly scale methodological innovations, connect innovators, and creatively accelerate learning about working with intractable challenges. We will also need to create new funding schemes, a global knowledge commons, and challenge deeply held assumptions. To genuinely be a creative force in supporting longevity of human and non-human life on our planet, the shift in knowledge systems will probably need to be at the scale of the enlightenment and speed of the scientific and technological revolution accompanying the second World War. This will require bold and strategic action from governments, scientists, civic society and sustained transformational intent. (shrink)
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    The Transformation of Higher Education After the COVID Disruption: Emerging Challenges in an Online Learning Scenario.Víctor J. García-Morales, Aurora Garrido-Moreno & Rodrigo Martín-Rojas - 2021 - Frontiers in Psychology 12.
    Crisis requires society to renew itself, albeit in a disruptive way. The current Covid-19 pandemic is transforming ways of working, living, and relating to each other on a global level, suddenly and dramatically. This paper focuses on the field of education to show how higher education institutions are undergoing radical transformations driven by the need to digitalize education and training processes in record time with academics who lack innate technological capabilities for online teaching. The university system must strive to overcome (...)
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  49. The linguistic formulation of power : modality and power relations in two sets of sports-related arbitration rules.Paola Evangelisti Allori - 2008 - In V. K. Bhatia, Christopher Candlin & Paola Evangelisti Allori (eds.), Language, culture and the law: the formulation of legal concepts across systems and cultures. New York: Peter Lang.
     
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  50.  63
    Birth of an Abstraction: A Dynamical Systems Account of the Discovery of an Elsewhere Principle in a Category Learning Task.Whitney Tabor, Pyeong W. Cho & Harry Dankowicz - 2013 - Cognitive Science 37 (7):1193-1227.
    Human participants and recurrent (“connectionist”) neural networks were both trained on a categorization system abstractly similar to natural language systems involving irregular (“strong”) classes and a default class. Both the humans and the networks exhibited staged learning and a generalization pattern reminiscent of the Elsewhere Condition (Kiparsky, 1973). Previous connectionist accounts of related phenomena have often been vague about the nature of the networks’ encoding systems. We analyzed our network using dynamical systems theory, revealing topological and (...)
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