Results for 'grammaire générative'

183 found
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  1. Analogie/anomalie. Reflet de nos querelles dans un miroir antique.Françoise Douay & Jean-Jacques Pinto - 1991 - Communications- École des Hautes Étudies En Sciences Sociales- Centre D'étudies Transdisiplinaires (Sociolgie, Anthropologie, Politique) 53:07-16.
    La querelle qui oppose la sémantique cognitive à la linguistique "orthodoxe" contemporaine: structuralisme et grammaire générative (Claude Vandeloise, ce numéro), éveille, en histoire des sciences du langage, des échos lointains mais familiers. Car, par bien des aspects, se trouve rappelée une querelle épistémologique ancienne de grande envergure, celle qui, dans l'Antiquité grecque, opposa les anomalistes aux analogistes, les anomalistes de l'école stoïcienne de Pergame aux analogistes de l'école aristotélicienne d'Alexandrie.
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  2. Problem-Solving Performance and Skills of Prospective Elementary Teachers in Northern Philippines.Jupeth Pentang, Edwin D. Ibañez, Gener Subia, Jaynelle G. Domingo, Analyn M. Gamit & Lorinda E. Pascual - 2021 - Hunan Daxue Xuebao 48 (1):122-132.
    The study determined the problem-solving performance and skills of prospective elementary teachers (PETs) in the Northern Philippines. Specifically, it defined the PETs’ level of problem-solving performance in number sense, measurement, geometry, algebra, and probability; significant predictors of their problem-solving performance in terms of sex, socio-economic status, parents’ educational attainment, high school graduated from and subject preference; and their problem-solving skills. The PETs’ problem-solving performance was determined by a problem set consisting of word problems with number sense, measurement, geometry, algebra, and (...)
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  3. Cognitive Skills Achievement in Mathematics of the Elementary Pre-Service Teachers Using Piaget’s Seven Logical Operations.Jaynelle G. Domingo, Edwin D. Ibañez, Gener Subia, Jupeth Pentang, Lorinda E. Pascual, Jennilyn C. Mina, Arlene V. Tomas & Minnie M. Liangco - 2021 - Turkish Journal of Computer and Mathematics Education 12 (4):435-440.
    This study determined the cognitive skills achievement in mathematics of elementary pre-service teachers as a basis for improving problem-solving and critical thinking which was analyzed using Piaget's seven logical operations namely: classification, seriation, logical multiplication, compensation, ratio and proportional thinking, probability thinking, and correlational thinking. This study utilized an adopted Test on Logical Operations (TLO) and descriptive research design to describe the cognitive skills achievement and to determine the affecting factors. Overall, elementary pre-service teachers performed with sufficient understanding in dealing (...)
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  4. Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity.Claudio Novelli, Federico Casolari, Philipp Hacker, Giorgio Spedicato & Luciano Floridi - manuscript
    The advent of Generative AI, particularly through Large Language Models (LLMs) like ChatGPT and its successors, marks a paradigm shift in the AI landscape. Advanced LLMs exhibit multimodality, handling diverse data formats, thereby broadening their application scope. However, the complexity and emergent autonomy of these models introduce challenges in predictability and legal compliance. This paper analyses the legal and regulatory implications of Generative AI and LLMs in the European Union context, focusing on liability, privacy, intellectual property, and cybersecurity. It examines (...)
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  5. Generative memory.Kourken Michaelian - 2011 - Philosophical Psychology 24 (3):323-342.
    This paper explores the implications of the psychology of constructive memory for philosophical theories of the metaphysics of memory and for a central question in the epistemology of memory. I first develop a general interpretation of the psychology of constructive memory. I then argue, on the basis of this interpretation, for an updated version of Martin and Deutscher's influential causal theory of memory. I conclude by sketching the implications of this updated theory for the question of memory 's status as (...)
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  6.  80
    Generative AI and the value changes and conflicts in its integration in Japanese educational system.Ngoc-Thang B. Le, Phuong-Thao Luu & Manh-Tung Ho - manuscript
    This paper critically examines Japan's approach toward the adoption of Generative AI such as ChatGPT in education via studying media discourse and guidelines at both the national as well as local levels. It highlights the lack of consideration for socio-cultural characteristics inherent in the Japanese educational systems, such as the notion of self, teachers’ work ethics, community-centric activities for the successful adoption of the technology. We reveal ChatGPT’s infusion is likely to further accelerate the shift away from traditional notion of (...)
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  7. Calibrating Generative Models: The Probabilistic Chomsky-Schützenberger Hierarchy.Thomas Icard - 2020 - Journal of Mathematical Psychology 95.
    A probabilistic Chomsky–Schützenberger hierarchy of grammars is introduced and studied, with the aim of understanding the expressive power of generative models. We offer characterizations of the distributions definable at each level of the hierarchy, including probabilistic regular, context-free, (linear) indexed, context-sensitive, and unrestricted grammars, each corresponding to familiar probabilistic machine classes. Special attention is given to distributions on (unary notations for) positive integers. Unlike in the classical case where the "semi-linear" languages all collapse into the regular languages, using analytic tools (...)
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  8. Are Generative Models Structural Representations?Marco Facchin - 2021 - Minds and Machines 31 (2):277-303.
    Philosophers interested in the theoretical consequences of predictive processing often assume that predictive processing is an inferentialist and representationalist theory of cognition. More specifically, they assume that predictive processing revolves around approximated Bayesian inferences drawn by inverting a generative model. Generative models, in turn, are said to be structural representations: representational vehicles that represent their targets by being structurally similar to them. Here, I challenge this assumption, claiming that, at present, it lacks an adequate justification. I examine the only argument (...)
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  9. Generative AI and photographic transparency.P. D. Magnus - forthcoming - AI and Society:1-6.
    There is a history of thinking that photographs provide a special kind of access to the objects depicted in them, beyond the access that would be provided by a painting or drawing. What is included in the photograph does not depend on the photographer’s beliefs about what is in front of the camera. This feature leads Kendall Walton to argue that photographs literally allow us to see the objects which appear in them. Current generative algorithms produce images in response to (...)
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  10. The Philosophy of Generative Linguistics.Peter Ludlow - 2011 - Oxford, GB: Oxford University Press.
    Peter Ludlow presents the first book on the philosophy of generative linguistics, including both Chomsky's government and binding theory and his minimalist ...
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  11. Pro-Generative Adversarial Network and V-stack Perceptron, Diamond Holographic Principle, and Pro-Temporal Emergence.Shanna Dobson - manuscript
    We recently presented our Efimov K-theory of Diamonds, proposing a pro-diamond, a large stable (∞,1)-category of diamonds (D^{diamond}), and a localization sequence for diamond spectra. Commensurate with the localization sequence, we now detail four potential applications of the Efimov K-theory of D^{diamond}: emergent time as a pro-emergence (v-stack time) in a diamond holographic principle using Scholze’s six operations in the ’etale cohomology of diamonds; a pro-Generative Adversarial Network and v-stack perceptron; D^{diamond}cryptography; and diamond nonlocality in perfectoid quantum physics.
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  12. Le lexique-grammaire de noms sous-spécifiés.Éric Marque-Pucheu Laporte - 2021 - Corela. Cognition, Représentation, Langage 34.
    Les noms sous-spécifiés, qui peuvent apparaitre dans une construction spécificationnelle, de la forme Leur ambition a été d’innover, sont par ailleurs souvent des prédicats régissant des arguments, dans une phrase élémentaire de la forme Ils ont eu l’ambition d’innover, où Nss est le prédicat accompagné d’un verbe support et de ses arguments N0 et N1. Nous avons étudié des noms entrant à la fois dans les deux constructions et avec le même sens, et trouvé trois cas de figure. Avec des (...)
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  13. Generativities: Western Philosophy, Chinese Painting, and the Yijing.Eric S. Nelson - 2013 - Orbis Idearum 1 (1):97–104.
    Western philosophy has been defined through the exclusion of non-Western forms of thought as non-philo-sophical. In this paper, I place the notion of what is “properly” philosophy into question by contrasting the essence/appearance paradigm governing Western metaphysics and its deconstructive critics with the more fluid, dynamic, and participatory forms of encountering and performatively enacting the world that are articulated in Chinese thinking and made apparent in Chinese painting. In this hermeneutical contrast, Western and Chinese thinking themselves are interpeted as co-relational (...)
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  14. Simulation as formal and generative social science: the very idea.Nuno David, Jaime Sichman & Helder Coelho - 2007 - In Carlos Gershenson, Diederik Aerts & Bruce Edmonds (eds.), Worldviews, Science, and Us: Philosophy and Complexity. World Scientific. pp. 266--275.
    The formal and empirical-generative perspectives of computation are demonstrated to be inadequate to secure the goals of simulation in the social sciences. Simulation does not resemble formal demonstrations or generative mechanisms that deductively explain how certain models are sufficient to generate emergent macrostructures of interest. The description of scientific practice implies additional epistemic conceptions of scientific knowledge. Three kinds of knowledge that account for a comprehensive description of the discipline were identified: formal, empirical and intentional knowledge. The use of formal (...)
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  15.  65
    Embracing ChatGPT and other generative AI tools in higher education: The importance of fostering trust and responsible use in teaching and learning.Jonathan Y. H. Sim - 2023 - Higher Education in Southeast Asia and Beyond.
    Trust is the foundation for learning, and we must not allow ignorance of this new technologies, like Generative AI, to disrupt the relationship between students and educators. As a first step, we need to actively engage with AI tools to better understand how they can help us in our work.
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  16. On the Putative Epistemic Generativity of Memory and Imagination.Kengo Miyazono & Uku Tooming - 2022 - In Anja Berninger & Íngrid Vendrell Ferran (eds.), Philosophical Perspectives on Memory and Imagination. London: Routledge. pp. 127-145.
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  17. A generative approach to the understanding of cognitive skills.Brian Josephson & Nils A. Baas - 1996 - In Andrée Ehresmann, George Farre & Paul Vanbremeersch (eds.), Actes du Symposium ECHO. Université de Picardie Jules Verne. pp. S1–S8.
    We describe a new approach to understanding the functioning of the nervous system, unifying previous ideas of Josephson and Hauser, Baas, and Brooks. Its basis consists in analysing the total developmental process into basic components of development, whose corresponding mechanisms (skill constructors) are organised together into a coherent total system.
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  18. Essence, Necessity, and Non-Generative Metaphysical Explanation.Michael Wallner - 2022 - Argumenta 7 (2):439-462.
    Finean essentialists take metaphysical necessity to be metaphysically explained by essence. But whence the explanatory power of essence? A recent wave of criticism against the Finean account has put pressure on essentialists to answer this question. Wallner and Vaidya (2020) have responded by offering an axiomatic account of the explanatory power of essence. This paper discusses their account in light of some recent criticism by Bovey (2022). Building on work by Glazier (2017), Bovey succeeds in showing that Wallner and Vaidya’s (...)
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  19. Diffusing the Creator: Attributing Credit for Generative AI Outputs.Donal Khosrowi, Finola Finn & Elinor Clark - 2023 - Aies '23: Proceedings of the 2023 Aaai/Acm Conference on Ai, Ethics, and Society.
    The recent wave of generative AI (GAI) systems like Stable Diffusion that can produce images from human prompts raises controversial issues about creatorship, originality, creativity and copyright. This paper focuses on creatorship: who creates and should be credited with the outputs made with the help of GAI? Existing views on creatorship are mixed: some insist that GAI systems are mere tools, and human prompters are creators proper; others are more open to acknowledging more significant roles for GAI, but most conceive (...)
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  20. Meaning and Formal Semantics in Generative Grammar.Stephen Schiffer - 2015 - Erkenntnis 80 (1):61-87.
    A generative grammar for a language L generates one or more syntactic structures for each sentence of L and interprets those structures both phonologically and semantically. A widely accepted assumption in generative linguistics dating from the mid-60s, the Generative Grammar Hypothesis , is that the ability of a speaker to understand sentences of her language requires her to have tacit knowledge of a generative grammar of it, and the task of linguistic semantics in those early days was taken to be (...)
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  21.  86
    Escape climate apathy by harnessing the power of generative AI.Quan-Hoang Vuong & Manh-Tung Ho - 2024 - AI and Society 39:1-2.
    “Throw away anything that sounds too complicated. Only keep what is simple to grasp...If the information appears fuzzy and causes the brain to implode after two sentences, toss it away and stop listening. Doing so will make the news as orderly and simple to understand as the truth.” - In “GHG emissions,” The Kingfisher Story Collection, (Vuong 2022a).
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  22. Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3).Nassim Dehouche - 2021 - Ethics in Science and Environmental Politics 21:17-23.
    As if 2020 were not a peculiar enough year, its fifth month has seen the relatively quiet publication of a preprint describing the most powerful Natural Language Processing (NLP) system to date, GPT-3 (Generative Pre-trained Transformer-3), by Silicon Valley research firm OpenAI. Though the software implementation of GPT-3 is still in its initial Beta release phase, and its full capabilities are still unknown as of the time of this writing, it has been shown that this Artificial Intelligence can comprehend prompts (...)
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  23. The Animal and the Infant: From Embodiment and Empathy to Generativity.Sara Heinämaa - 2014 - In Sara Heinämaa, Mirja Hartimo & Timo Miettinen (eds.), Phenomenology and the Transcendental. Routledge. pp. 129-146.
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  24. The “New Spirit of Academic Capitalism”: Can Scientists Create Generative Critique From Within?Milena Ivanova Kremakova - 2016 - Teorie Vědy / Theory of Science 38 (1):27-51.
    The 21st-century university is a contested site of neoliberal transformation. Its role is moving away from that of a hub of culture, knowledge and critique to that of a provider of skills and employability for the market. The move towards a lean business model in the management of knowledge production is not an isolated phenomenon, but integral to the shifting economic, political and moral landscapes of global capitalism and the knowledge society. The literature discussing the changes in higher education, which (...)
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  25. Le sujet dans le langage : Wittgenstein et la grammaire de la subjectivité.Jocelyn Benoist - 1999 - Revue de Métaphysique et de Morale 4:565-581.
    Souvent, Wittgenstein est lu comme un critique de la subjectivité. Et en effet, on trouve dans sa pensée une attaque très forte contre Villusion métaphysique de la subjectivité . Mais, une fois qu'on a dit cela, reste à prendre en compte la contribution positive de Wittgenstein à ce qu'on pourrait appeler une phénoménologie concrète de la subjectivité, c'est-à-dire du sujet tel qu'il se manifeste dans le langage. Wittgenstein's work is often read as a criticism of subjectivity. A very strong attack (...)
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  26. Chung‐Ying Cheng: Creativity, Onto‐Generative Hermeneutics, and the Yijing.Eric Nelson - 2016 - Journal of Chinese Philosophy 43 (1-2):124-135.
    The hermeneutical dimensions of Chinese philosophy from the Changes of Zhou through its Confucian, Daoist, and contemporary developments have been a creative inspirational source and guiding intellectual thread in the thought of Chung-ying Cheng. Cheng's extensive engagement with the Classic of Changes, its role in the formation of the Chinese philosophical tradition and its comparative interconnections with occidental philosophies, has disclosed its deep hermeneutical orientation. The Yijing encompasses processes of empirical observation, empathetic feeling, and self-reflection in the generation of “images,” (...)
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  27. Language and action: a common intentional, generative, and inferential process.Mazzone Marco - 2014 - RETI SAPERI LINGUAGGI 1:165-178.
    The thesis that language is a special case of action is analysed in terms of the following three claims. First, language is presumably just as intentional as action is, in the precise sense that both involve largely automatic processing of goal-directed representations, with conscious attention essentially granting stability to the process. Second, this largely automatic processing of both language and action seems to be based on a shared generative mechanism. Third, this common process can be described as a bidirectional inferential (...)
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  28. Prosthetic Godhood and Lacan’s Alethosphere: The Psychoanalytic Significance of the Interplay of Randomness and Structure in Generative Art.Rayan Magon - 2023 - 26Th Generative Art Conference.
    Psychoanalysis, particularly as articulated by figures like Freud and Lacan, highlights the inherent division within the human subject—a schism between the conscious and unconscious mind. It could be said that this suggests that such an internal division becomes amplified in the context of generative art, where technology and algorithms are used to generate artistic expressions that are meant to emerge from the depths of the unconscious. Here, we encounter the tension between the conscious artist and the generative process itself, which (...)
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  29. Do philosophers of education dare be inspired by forerunners such as Nietzsche? – Transformation of the mind towards an affirmative and generative awareness.Henriëtta Joosten - 2018 - Educational Philosophy and Theory 50 (14):1418-1419.
    What comes after postmodernism and how will this affect educational theory and, I would add, educational practices? I will take up these challenging questions by interpreting present times as a period of transformation towards a new kind of awareness. Nietzsche—for some the father of postmodernity, for me a visionary thinker who ‘presenced’ what was coming—has already explored this transformation.
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  30. Wilhelm Dilthey and the Formative-Generative Imagination.Eric S. Nelson - 2018 - In Saulius Geniusas (ed.), Stretching the Limits of Productive Imagination: Studies in Hermeneutics, Phenomenology and Neo-Kantianism.
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  31. An Algebra for Tracing Categories of Social Processes: From a Surprising Fact to Middle-Range Theory using Categorical-Generative Analysis.Bruno da Rocha Braga - manuscript
    This paper describes a method for the analysis of the evolutionary path of a complex, dynamic, and contingent social phenomenon in an empirical setting. Given empirical evidence of a surprising or anomalous fact, which contradicts the prediction of the wide-acknowledged theory, the goal is to formulate a plausible explanation based on the context of occurrence, taking a holistic and historical point of view. The procedure begins by translating theoretical propositions into grammar rules to describe patterns of either individual action or (...)
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  32. AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks.Trystan S. Goetze - forthcoming - Proceedings of the 2024 Acm Conference on Fairness, Accountability, and Transparency (Facct ’24).
    Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues that AI (...)
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  33. ChatGPT and the Technology-Education Tension: Applying Contextual Virtue Epistemology to a Cognitive Artifact.Guido Cassinadri - 2024 - Philosophy and Technology 37 (14):1-28.
    According to virtue epistemology, the main aim of education is the development of the cognitive character of students (Pritchard, 2014, 2016). Given the proliferation of technological tools such as ChatGPT and other LLMs for solving cognitive tasks, how should educational practices incorporate the use of such tools without undermining the cognitive character of students? Pritchard (2014, 2016) argues that it is possible to properly solve this ‘technology-education tension’ (TET) by combining the virtue epistemology framework with the theory of extended cognition (...)
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  34. Creativity.Peter Langland-Hassan - 2020 - In Explaining Imagination. Oxford: Oxford University Press. pp. 262-296.
    Comparatively easy questions we might ask about creativity are distinguished from the hard question of explaining transformative creativity. Many have focused on the easy questions, offering no reason to think that the imagining relied upon in creative cognition cannot be reduced to more basic folk psychological states. The relevance of associative thought processes to songwriting is then explored as a means for understanding the nature of transformative creativity. Productive artificial neural networks—known as generative antagonistic networks (GANs)—are a recent example of (...)
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  35. Disambiguating Algorithmic Bias: From Neutrality to Justice.Elizabeth Edenberg & Alexandra Wood - 2023 - In Francesca Rossi, Sanmay Das, Jenny Davis, Kay Firth-Butterfield & Alex John (eds.), AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery. pp. 691-704.
    As algorithms have become ubiquitous in consequential domains, societal concerns about the potential for discriminatory outcomes have prompted urgent calls to address algorithmic bias. In response, a rich literature across computer science, law, and ethics is rapidly proliferating to advance approaches to designing fair algorithms. Yet computer scientists, legal scholars, and ethicists are often not speaking the same language when using the term ‘bias.’ Debates concerning whether society can or should tackle the problem of algorithmic bias are hampered by conflations (...)
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  36. Emerging Technologies & Higher Education.Jake Burley & Alec Stubbs - 2023 - Ieet White Papers.
    Extended Reality (XR) and Large Language Model (LLM) technologies have the potential to significantly influence higher education practices and pedagogy in the coming years. As these emerging technologies reshape the educational landscape, it is crucial for educators and higher education professionals to understand their implications and make informed policy decisions for both individual courses and universities as a whole. -/- This paper has two parts. In the first half, we give an overview of XR technologies and their potential future role (...)
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  37. Don't trust Fodor's guide in Monte Carlo: Learning concepts by hypothesis testing without circularity.Michael Deigan - 2023 - Mind and Language 38 (2):355-373.
    Fodor argued that learning a concept by hypothesis testing would involve an impossible circularity. I show that Fodor's argument implicitly relies on the assumption that actually φ-ing entails an ability to φ. But this assumption is false in cases of φ-ing by luck, and just such luck is involved in testing hypotheses with the kinds of generative random sampling methods that many cognitive scientists take our minds to use. Concepts thus can be learned by hypothesis testing without circularity, and it (...)
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  38.  75
    Emergent Universal Economic Models: The Future of Human Dynamics.James Sirois - 2023 - Philosopherstudio.Wordpress.Com.
    Human civilization is very clearly reaching a point of critical mass when it comes to technology and how it transforms culture and the economics that is therefore driven forward. The conversation around the practical aspects of generative artificial intelligence (Chat GPT, Q Star, Bard, Claude, Genesis, Firefly, and others) and their ethical implications is massively trending. The political conversations around it are slow to catch up but will soon take over once the general public feels their impact, which is likely (...)
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  39. Functional integration and the mind.Jakob Hohwy - 2007 - Synthese 159 (3):315-328.
    Different cognitive functions recruit a number of different, often overlapping, areas of the brain. Theories in cognitive and computational neuroscience are beginning to take this kind of functional integration into account. The contributions to this special issue consider what functional integration tells us about various aspects of the mind such as perception, language, volition, agency, and reward. Here, I consider how and why functional integration may matter for the mind; I discuss a general theoretical framework, based on generative models, that (...)
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  40. Une double réception du concept de sujet: Le sujet agissant et le complément de sujet dans une philosophie linguistique.Akinobu Kuroda - 2016 - European Journal of Japanese Philosophy 1:359-364.
    Dans la double conception du sujet que précise Tokieda Motoki dans sa théorie du processus langagier : sujet subordonné au prédicat et sujet d’action langagière volontaire, conception fondée sur une théorie linguistique inspirée principalement d’études grammaticales de la langue japonaise et qui s’est donc totalement émancipée du paradigme de la grammaire des langues européennes, on peut retrouver, de manière tout à fait paradoxale et frappante, le sens originaire du sujet, à savoir celui de son origine latine « subjectum » (...)
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  41. Against Depictive Conventionalism.Catharine Abell - 2005 - American Philosophical Quarterly 42 (3):185 - 197.
    In this paper, I discuss the influential view that depiction, like language, depends on arbitrary conventions. I argue that this view, however it is elaborated, is false. Any adequate account of depiction must be consistent with the distinctive features of depiction. One such feature is depictive generativity. I argue that, to be consistent with depictive generativity, conventionalism must hold that depiction depends on conventions for the depiction of basic properties of a picture’s object. I then argue that two considerations jointly (...)
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  42. Simple is not easy.Edison Barrios - 2016 - Synthese 193 (7):2261-2305.
    I review and challenge the views on simplicity and its role in linguistics put forward by Ludlow. In particular, I criticize the claim that simplicity—in the sense pertinent to science—is nothing more than ease of use or “user-friendliness”, motivated by economy of labor. I argue that Ludlow’s discussion fails to do justice to the diversity of factors that are relevant to simplicity considerations. This, in turn, leads to the neglect of crucial cases in which the rationale for simplification is unmistakably (...)
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  43. Numerals and quantifiers in X-bar syntax and their semantic interpretation.Henk J. Verkuyl - 1981 - In Jeroen A. G. Groenendijk, Theo M. V. Janssen & Martin B. Stokhof (eds.), Formal Methods in the Study of Language Volume 2. U of Amsterdam. pp. 567-599.
    The first aim of the paper is to show that under certain conditions generative syntax can be made suitable for Montague semantics, based on his type logic. One of the conditions is to make branching in the so-called X-bar syntax strictly binary, This makes it possible to provide an adequate semantics for Noun Phrases by taking them as referring to sets of collections of sets of entities ( type <ett,t>) rather than to sets of sets of entities (ett).
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  44.  30
    Complex, Dynamic and Contingent Social Processes as Patterns of Decision-Making Events – Philosophical and Mathematical Foundations.Bruno da Rocha Braga - forthcoming - European Journal of Pragmatism and American Philosophy.
    This work presents a post-positivist research framework to explain any surprising fact in the evolutionary path of a complex, dynamic and contingent social phenomenon. Primarily, it reconciles the ontological and epistemological assumptions of Critical Realism with the principles of American Pragmatism. Then, the research approach is presented: theoretical propositions about a social structure are translated into a set of grammar rules that acknowledges a pattern of sequences of events of either individual action or social interaction between actors within a real (...)
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  45.  58
    The semiotic functioning of synthetic media.Auli Viidalepp - 2022 - Információs Társadalom 4:109-118.
    The interpretation of many texts in the everyday world is concerned with their truth value in relation to the reality around us. The recent publication experiments with computer-generated texts have shown that the distinction between true and false, or reality and fiction, is not always clear from the text itself. Essentially, in today’s media space, one may encounter texts, videos or images that deceive the reader by displaying nonsensical content or nonexistent events, while nevertheless appearing as genuine human-produced messages. This (...)
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  46. Gadamer – Cheng: Conversations in Hermeneutics.Andrew Fuyarchuk - 2021 - Journal of Chinese Philosophy 48 (3):245-249.
    1 Introduction1 In the 1980s, hermeneutics was often incorporated into deconstructionism and literary theory. Rather than focus on authorial intentions, the nature of writing itself including codes used to construct meaning, socio-economic contexts and inequalities of power,2 Gadamer introduced a different perspective; the interplay between effects of history on a reader’s understanding and the tradition(s) handed down in writing. This interplay in which a reader’s prejudices are called into question and modified by the text in a fusion of understanding and (...)
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  47. Wittgenstein and the Aesthetic Robot's Handicap.Julian Friedland - 2005 - Philosophical Investigations 28 (2):177-192.
    Ask most any cognitive scientist working today if a digital computational system could develop aesthetic sensibility and you will likely receive the optimistic reply that this remains an open empirical question. However, I attempt to show, while drawing upon the later Wittgenstein, that the correct answer is in fact available. And it is a negative a priori. It would seem, for example, that recent computational successes in generative AI and textual attribution, most notably those of Donald Foster (famed finder of (...)
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  48. Natural Language Ontology (Routledge Handbook of Metametaphysics).Friederike Moltmann - 2020 - In Ricki Bliss & James Miller (eds.), The Routledge Handbook of Metametaphysics. New York, NY: Routledge. pp. 325-338.
    This paper gives an outline of natural language ontology as a subdiscipline of both linguistics and philosophy. It argues that part of the constructional ontology reflected in natural language is in significant respects on a par with syntax (on the generative view).
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  49. Performatives and Imperatives.Anna Brożek - 2011 - European Journal of Analytic Philosophy 7 (2):17-34.
    The term “performative” is used in at least two different senses. In the first sense, performatives are generatives, i.e. expressions by the use of which one creates new deontic states of affairs on the ground of extralinguistic conventions. In the second sense, performatives are operatives, i.e. expressions which contain verbal predicates and state their own utterances. In the article, both these types of expressions are compared to the class of imperatives which are characterized as expressions of the form “Let x (...)
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  50. Mapping the potential AI-driven virtual hyper-personalised ikigai universe.Soenke Ziesche & Roman Yampolskiy - manuscript
    Ikigai is a Japanese concept, which, in brief, refers to the “reason or purpose to live”. I-risks have been identified as a category of risks complementing x- risks, i.e., existential risks, and s-risks, i.e., suffering risks, which describes undesirable future scenarios in which humans are deprived of the pursuit of their individual ikigai. While some developments in AI increase i-risks, there are also AI-driven virtual opportunities, which reduce i-risks by increasing the space of potential ikigais, largely due to developments in (...)
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