Results for 'Generative Linguistics'

968 found
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  1. 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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  2. Linguistics and the explanatory economy.Gabe Dupre - 2019 - Synthese 199 (Suppl 1):177-219.
    I present a novel, collaborative, methodology for linguistics: what I call the ‘explanatory economy’. According to this picture, multiple models/theories are evaluated based on the extent to which they complement one another with respect to data coverage. I show how this model can resolve a long-standing worry about the methodology of generative linguistics: that by creating too much distance between data and theory, the empirical credentials of this research program are tarnished. I provide justifications of such methodologically (...)
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  3. The old linguistic problem of 'reference' in a modern reading of Plato's Sophist.Sepehr Ehsani - manuscript
    This paper is about interpreting the aim of Plato's Sophist in a linguistic framework and arguing that in its attempt at resolving the conundrum of what the true meaning and essence of the word "sophist" could be, it resembles a number of themes encountered in contemporary linguistics. I think it is important to put our findings from the Sophist in a broader Platonic context: in other words, I assume—I think not too unreasonably—that Plato pursued (or at least had in (...)
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  4. Linguistic intuition and calibration.Jeffrey Maynes - 2012 - Linguistics and Philosophy 35 (5):443-460.
    Linguists, particularly in the generative tradition, commonly rely upon intuitions about sentences as a key source of evidence for their theories. While widespread, this methodology has also been controversial. In this paper, I develop a positive account of linguistic intuition, and defend its role in linguistic inquiry. Intuitions qualify as evidence as form of linguistic behavior, which, since it is partially caused by linguistic competence (the object of investigation), can be used to study this competence. I defend this view (...)
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  5. 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 (...)
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  6. Ignorance of Linguistics: A Note on Michael Devitt’s Ignorance of Language.Guy Longworth - 2009 - Croatian Journal of Philosophy 9 (1):21-34.
    Michael Devitt has argued that Chomsky, along with many other Linguists and philosophers, is ignorant of the true nature of Generative Linguistics. In particular, Devitt argues that Chomsky and others wrongly believe the proper object of linguistic inquiry to be speakers' competences, rather than the languages that speakers are competent with. In return, some commentators on Devitt's work have returned the accusation, arguing that it is Devitt who is ignorant about Linguistics. In this note, I consider whether (...)
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  7. 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. Similarly, (...)
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  8. Cognitive Linguistics and Two-generation Cognitive Science.Yin Wang - 2019 - Journal of Human Cognition 3 (1):41-53.
    In the book "Experiential Philosophy- Body-based Wisdom and Challenges to Western Thought', Professors Lakoff and Johnson divided cognitive science into the first generation of cognitive science (based on British-American analytical philosophy and a Priori philosophy) and the second generation of cognitive science (based on experiential philosophy, emphasizing: the experiential nature of the mind, the unconscious nature of cognition, and the metaphorical nature of thinking), expounded the characteristics of the two generations of cognitive science and the differences between the two, and (...)
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  9. 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 (...)
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  10. 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 (...)
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  11. I Like This Analysis, but I Don’t Think Every Linguist Will: Syntactic NOT-Transportation, VP Ellipsis and VP Pronominalisation.Diego Gabriel Krivochen - 2021 - Atlantis 2 (43):68-89.
    In this article I consider some recent objections raised against the syntactic treatment of negation in English multiclausal structures, in particular what has been called NEGraising. I argue that the objections based on pronominalisation and ellipsis presented in the recent literature do pose a problem for syntactic accounts of the mechanisms of so-called NOT-transportation that rely on a rule of leftwards movement, as is customary in generative grammar. However, there is an alternative syntactic treatment that assumes that negation originates (...)
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  12. Creative Minds Like Ours? Large Language Models and the Creative Aspect of Language Use.Vincent Carchidi - 2024 - Biolinguistics 18:1-31.
    Descartes famously constructed a language test to determine the existence of other minds. The test made critical observations about how humans use language that purportedly distinguishes them from animals and machines. These observations were carried into the generative (and later biolinguistic) enterprise under what Chomsky in his Cartesian Linguistics, terms the “creative aspect of language use” (CALU). CALU refers to the stimulus-free, unbounded, yet appropriate use of language—a tripartite depiction whose function in biolinguistics is to highlight a species-specific (...)
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  13. Nativism, Empiricism, and Ockham’s Razor.Simon Fitzpatrick - 2015 - Erkenntnis 80 (5):895-922.
    This paper discusses the role that appeals to theoretical simplicity have played in the debate between nativists and empiricists in cognitive science. Both sides have been keen to make use of such appeals in defence of their respective positions about the structure and ontogeny of the human mind. Focusing on the standard simplicity argument employed by empiricist-minded philosophers and cognitive scientists—what I call “the argument for minimal innateness”—I identify various problems with such arguments—in particular, the apparent arbitrariness of the relevant (...)
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  14.  40
    Reading at university in the time of GenA.Thomas Corbin, Yifei Liang, Margaret Bearman, Tim Fawns, Gene Flenady, Paul Formosa, Lucinda McKnight, Jack Reynolds & Jack Walton - 2024 - Learning Letters 3 (35):1-8.
    Concerns around Generative Artificial Intelligence (GenAI) in higher education have so far largely centred on assessment integrity, resulting in fundamental questions about students’ broader engagement with these tools remaining underexplored. This paper reports on the findings of a survey that forms part of a wider study, comprising the first empirical investigation of GenAI use by university students as a method of engaging with their academic readings. Our survey of 101 students shows that over half of all students surveyed used (...)
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  15. AI Enters Public Discourse: a Habermasian Assessment of the Moral Status of Large Language Models.Paolo Monti - 2024 - Ethics and Politics 61 (1):61-80.
    Large Language Models (LLMs) are generative AI systems capable of producing original texts based on inputs about topic and style provided in the form of prompts or questions. The introduction of the outputs of these systems into human discursive practices poses unprecedented moral and political questions. The article articulates an analysis of the moral status of these systems and their interactions with human interlocutors based on the Habermasian theory of communicative action. The analysis explores, among other things, Habermas's inquiries (...)
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  16. Mortal Knowledge, the Originary Event, and the Emergence of the Sacred.Gregory Nixon - 2006 - Anthropoetics 12 (1):25.
    The question of origins continues to captivate human thought and sentiment, despite the postmodern insistence that knowledge of origins is impossible since it must lie beyond the boundaries of the origin of knowledge. Knowledge cannot seek causes that precede its own existence, it is said. Still, theoretical narratives continue to arise accounting for such things as the origin of the universe, of our star and solar system, of Earth, of life on the planet, of the human species, of self-aware human (...)
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  17. Discourse Grammars and the Structure of Mathematical Reasoning II: The Nature of a Correct Theory of Proof and Its Value.John Corcoran - 1971 - Journal of Structural Learning 3 (2):1-16.
    1971. Discourse Grammars and the Structure of Mathematical Reasoning II: The Nature of a Correct Theory of Proof and Its Value, Journal of Structural Learning 3, #2, 1–16. REPRINTED 1976. Structural Learning II Issues and Approaches, ed. J. Scandura, Gordon & Breach Science Publishers, New York, MR56#15263. -/- This is the second of a series of three articles dealing with application of linguistics and logic to the study of mathematical reasoning, especially in the setting of a concern for improvement (...)
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  18. Quantification.Anna Szabolcsi - 2010 - New York: Cambridge University Press.
    This book surveys research in quantification starting with the foundational work in the 1970s. It paints a vivid picture of generalized quantifiers and Boolean semantics. It explains how the discovery of diverse scope behavior in the 1990s transformed the view of quantification, and how the study of the internal composition of quantifiers has become central in recent years. It presents different approaches to the same problems, and links modern logic and formal semantics to advances in generative syntax. A unique (...)
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  19. Explaining ambiguity in scientific language.Beckett Sterner - 2022 - Synthese 200 (5):1-27.
    The idea that ambiguity can be productive in data science remains controversial. Efforts to make scientific publications and data intelligible to computers generally assume that accommodating multiple meanings for words, known as polysemy, undermines reasoning and communication. This assumption has nonetheless been contested by historians, philosophers, and social scientists, who have applied qualitative research methods to demonstrate the generative and strategic value of polysemy. Recent quantitative results from linguistics have also shown how polysemy can actually improve the efficiency (...)
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  20. AI-Testimony, Conversational AIs and Our Anthropocentric Theory of Testimony.Ori Freiman - 2024 - Social Epistemology 38 (4):476-490.
    The ability to interact in a natural language profoundly changes devices’ interfaces and potential applications of speaking technologies. Concurrently, this phenomenon challenges our mainstream theories of knowledge, such as how to analyze linguistic outputs of devices under existing anthropocentric theoretical assumptions. In section 1, I present the topic of machines that speak, connecting between Descartes and Generative AI. In section 2, I argue that accepted testimonial theories of knowledge and justification commonly reject the possibility that a speaking technological artifact (...)
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  21. Greimas embodied: How kinesthetic opposition grounds the semiotic square.Jamin Pelkey - 2017 - Semiotica 2017 (214):277-305.
    According to Greimas, the semiotic square is far more than a heuristic for semantic and literary analysis. It represents the generative “deep structure” of human culture and cognition which “define the fundamental mode of existence of an individual or of a society, and subsequently the conditions of existence of semiotic objects” (Greimas & Rastier 1968: 48). The potential truth of this hypothesis, much less the conditions and implications of taking it seriously (as a truth claim), have received little attention (...)
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  22. The Role of Artificial Languages.Martin Stokhof - 2011 - In Gillian Russell Delia Graff Fara (ed.), The Routledge Companion to Philosophy of Language. New York: Routledge. pp. 5440553.
    When one looks into the role of artificial languages in philosophy of language it seems appropriate to start with making a distinction between philosophy of language proper and formal semantics of natural language. Although the distinction between the two disciplines may not always be easy to make since there arguably exist substantial historical and systematic relationships between the two, it nevertheless pays to keep the two apart, at least initially, since the motivation commonly given for the use of artificial languages (...)
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  23. Demonstrative Paradigms in English and Ibibio: Some Contrastive Observations.Maria-Helen Ekah - 2018 - Journal of Arts and Humanities 7 (5).
    This paper describes demonstrative paradigms in English and Ibibio based on their syntactic and semantic behaviours, especially with English as the language of education in Nigeria. This study is anchored on Chomsky (1986) generative grammar paradigm to explain the structures of demonstratives in the two languages and argues that the structures resemble and differ from each other in some respects and gives possible linguistic implications for Ibibio speakers of English. While data for English were extracted from English grammar texts, (...)
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  24. Quantification, negation, and focus: Challenges at the Conceptual-Intentional semantic interface.Tista Bagchi - manuscript
    Quantification, Negation, and Focus: Challenges at the Conceptual-Intentional Semantic Interface Tista Bagchi National Institute of Science, Technology, and Development Studies (NISTADS) and the University of Delhi Since the proposal of Logical Form (LF) was put forward by Robert May in his 1977 MIT doctoral dissertation and was subsequently adopted into the overall architecture of language as conceived under Government-Binding Theory (Chomsky 1981), there has been a steady research effort to determine the nature of LF in language in light of structurally (...)
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  25.  93
    Do submarines swim? Methodological dualism and anthropomorphizing AlphaGo.Vincent J. Carchidi - 2022 - AI and Society 39 (775-787):1-13.
    The victories of the Go-playing artificial intelligence “AlphaGo” against professional player Lee Sedol in 2016 had a profound impact on public and academic perceptions of AI. This event shocked observers, as the ability of a machine to defeat a world champion human in a highly complex game seemed to indicate that a machine had achieved human-like—or more than human—intelligence. But why was AlphaGo so readily anthropomorphized by academic and non-academic audiences alike? Drawing from existing analyses of reactions to and arguments (...)
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  26. On Political Theory and Large Language Models.Emma Rodman - 2024 - Political Theory 52 (4):548-580.
    Political theory as a discipline has long been skeptical of computational methods. In this paper, I argue that it is time for theory to make a perspectival shift on these methods. Specifically, we should consider integrating recently developed generative large language models like GPT-4 as tools to support our creative work as theorists. Ultimately, I suggest that political theorists should embrace this technology as a method of supporting our capacity for creativity—but that we should do so in a way (...)
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  27. Architecture and Deconstruction. The Case of Peter Eisenman and Bernard Tschumi.Cezary Wąs - 2015 - Dissertation, University of Wrocław
    Architecture and Deconstruction Case of Peter Eisenman and Bernard Tschumi -/- Introduction Towards deconstruction in architecture Intensive relations between philosophical deconstruction and architecture, which were present in the late 1980s and early 1990s, belong to the past and therefore may be described from a greater than before distance. Within these relations three basic variations can be distinguished: the first one, in which philosophy of deconstruction deals with architectural terms but does not interfere with real architecture, the second one, in which (...)
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  28. Gender in conditionals.Sandro Zucchi & Fabio Del Prete - 2021 - Linguistics and Philosophy 44 (4):953-980.
    The 3sg pronouns “he” and “she” impose descriptive gender conditions (being male/female) on their referents. These conditions are standardly analysed as presuppositions (Cooper in Quantification and syntactic theory, Reidel, Dordrecht, 1983; Heim and Kratzer in Semantics in generative grammar, Blackwell, Oxford, 1998). Cooper argues that, when 3sg pronouns occur free, they have indexical presuppositions: the gender condition must be satisfied by the pronoun’s referent in the actual world. In this paper, we consider the behaviour of free 3sg pronouns in (...)
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  29. On the Nature of the Reflexivization Cycle.Pierre Pica - 1987 - In Joyce McDunough & Bernadette Plunkett (eds.), Proceedings of The North East Linguistic Society. pp. 17--2.
    This article claims that one has to distinguish between X° reflexives which do not bear phi-features, such as number, and XP complex reflexive - which do bear such features. The presence/vs absence of features, it is argued, explains the behavior of so called long distance reflexives - first observed, within the generative tradition, in scandinavian languages - but present all over. The observation according to which XP reflexives are clause bound, while X° reflexives in argument position are not, is (...)
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  30. 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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  31. 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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  32.  74
    Generative AI and the Future of Democratic Citizenship.Paul Formosa, Bhanuraj Kashyap & Siavosh Sahebi - 2024 - Digital Government: Research and Practice 2691 (2024/05-ART).
    Generative AI technologies have the potential to be socially and politically transformative. In this paper, we focus on exploring the potential impacts that Generative AI could have on the functioning of our democracies and the nature of citizenship. We do so by drawing on accounts of deliberative democracy and the deliberative virtues associated with it, as well as the reciprocal impacts that social media and Generative AI will have on each other and the broader information landscape. Drawing (...)
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  33. 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 (...)
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  34. 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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  35. 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 (...)
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  36. 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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  37. Defining Generative Artificial Intelligence: An Attempt to Resolve the Confusion about Diffusion.Raphael Ronge, Markus Maier & Benjamin Rathgeber - manuscript
    The concept of Generative Artificial Intelligence (GenAI) is ubiquitous in the public and semi-technical domain, yet rarely defined precisely. We clarify main concepts that are usually discussed in connection to GenAI and argue that one ought to distinguish between the technical and the public discourse. In order to show its complex development and associated conceptual ambiguities, we offer a historical-systematic reconstruction of GenAI and explicitly discuss two exemplary cases: the generative status of the Large Language Model BERT and (...)
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  38. 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 (...)
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  39. Linguistic Intuitions: Error Signals and the Voice of Competence.Steven Gross - 2020 - In Samuel Schindler, Anna Drożdżowicz & Karen Brøcker (eds.), Linguistic Intuitions: Evidence and Method. Oxford, UK: Oxford University Press.
    Linguistic intuitions are a central source of evidence across a variety of linguistic domains. They have also long been a source of controversy. This chapter aims to illuminate the etiology and evidential status of at least some linguistic intuitions by relating them to error signals of the sort posited by accounts of on-line monitoring of speech production and comprehension. The suggestion is framed as a novel reply to Michael Devitt’s claim that linguistic intuitions are theory-laden “central systems” responses, rather than (...)
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  40.  46
    Generative AI in the Creative Industries: Revolutionizing Art, Music, and Media.Mohammed F. El-Habibi, Mohammed A. Hamed, Raed Z. Sababa, Mones M. Al-Hanjori, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research(Ijaer) 8 (10):71-74.
    Abstract: Generative AI is transforming the creative industries by redefining how art, music, and media are produced and experienced. This paper explores the profound impact of generative AI technologies, such as deep learning models and neural networks, on creative processes. By enabling artists, musicians, and content creators to collaborate with AI, these systems enhance creativity, speed up production, and generate novel forms of expression. The paper also addresses ethical considerations, including intellectual property rights, the role of human creativity (...)
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  41. A Linguistic Specification of Aesthetic Judgments.Jochen Briesen - 2019 - British Journal of Aesthetics 59 (4):373-391.
    This paper aims to delineate the class of aesthetic judgments linguistically. The main idea is that aesthetic judgments can be specified by a certain set of assertibility conditions, i.e., by norms that govern appropriate speech-acts. This idea is spelled out in detail and defended against various objections. The suggestion leads to an interesting account of aesthetic judgments that is theoretically fruitful: It provides the basis for a non-circular and satisfying characterization of the whole domain of aesthetic research and it marks (...)
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  42. The Linguistic Determination of Conscious Thought Contents.Agustín Vicente & Marta Jorba - 2017 - Noûs (3):737-759.
    In this paper we address the question of what determines the content of our conscious episodes of thinking, considering recent claims that phenomenal character individuates thought contents. We present one prominent way for defenders of phenomenal intentionality to develop that view and then examine ‘sensory inner speech views’, which provide an alternative way of accounting for thought-content determinacy. We argue that such views fare well with inner speech thinking but have problems accounting for unsymbolized thinking. Within this dialectic, we present (...)
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  43.  85
    Digital Homunculi: Reimagining Democracy Research with Generative Agents.Petr Špecián - manuscript
    The pace of technological change continues to outstrip the evolution of democratic institutions, creating an urgent need for innovative approaches to democratic reform. However, the experimentation bottleneck - characterized by slow speed, high costs, limited scalability, and ethical risks - has long hindered progress in democracy research. This paper proposes a novel solution: employing generative artificial intelligence (GenAI) to create synthetic data through the simulation of digital homunculi, GenAI-powered entities designed to mimic human behavior in social contexts. By enabling (...)
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  44. Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity.Claudio Novelli, Federico Casolari, Philipp Hacker, Giorgio Spedicato & Luciano Floridi - 2024 - Computer Law and Security Review 55.
    The complexity and emergent autonomy of Generative AI systems introduce challenges in predictability and legal compliance. This paper analyses some of the legal and regulatory implications of such challenges in the European Union context, focusing on four areas: liability, privacy, intellectual property, and cybersecurity. It examines the adequacy of the existing and proposed EU legislation, including the Artificial Intelligence Act (AIA), in addressing the challenges posed by Generative AI in general and LLMs in particular. The paper identifies potential (...)
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  45.  73
    Sociocommunicative functions of a generative text: the case of GPT-3.Auli Viidalepp - 2022 - Lexia. Rivista di Semiotica 39:177-192.
    Recently, there have been significant advances in the development of language-transformer models that enable statistical analysis of co-occurring words (word prediction) and text generation. One example is the Generative Pre-trained Transformer 3 (GPT-3) by OpenAI, which was used to generate an opinion article (op-ed) published in “The Guardian” in Septem- ber 2020. The publication and reception of the op-ed highlights the difficulty for human readers to differentiate a machine-produced text; it also calls attention to the challenge of perceiving such (...)
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  46. On Linguistic Evidence for Expressivism.Andrés Soria Ruiz & Isidora Stojanovic - 2019 - Royal Institute of Philosophy Supplement 86:155-180.
    This paper argues that there is a class of terms, or uses of terms, that are best accounted for by an expressivist account. We put forward two sets of criteria to distinguish between expressive and factual terms. The first set relies on the action-guiding nature of expressive language. The second set relies on the difference between one's evidence for making an expressive vs. factual statement. We then put those criteria to work to show, first, that the basic evaluative adjectives such (...)
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  47. 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 (...)
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  48. Cross-linguistic Studies in Epistemology.Davide Fassio & Jie Gao - forthcoming - In Kurt Sylvan, Ernest Sosa, Jonathan Dancy & Matthias Steup (eds.), The Blackwell Companion to Epistemology, 3rd edition. Wiley Blackwell.
    Linguistic data are commonly considered a defeasible source of evidence from which it is legitimate to draw philosophical hypotheses and conclusions. Traditionally epistemologists have relied almost exclusively on linguistic data from western languages, with a primary focus on contemporary English. However, in the last two decades there has been an increasing interest in cross-linguistic studies in epistemology. In this entry, we provide a brief overview of cross-linguistic data discussed by contemporary epistemologists and the philosophical debates they have generated.
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  49. (1 other version)Linguistic Judgments As Evidence.Steven Gross - forthcoming - In Nicholas Allott, Terje Lohndal & Georges Rey (eds.), Blackwell Companion to Chomsky. Wiley-Blackwell.
    An overview of debates surrounding the use of meta-linguistic judgments in linguistics, including recent relevant empirical results.
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  50. Linguistic Structures and Economic Outcomes.Clas Weber & Astghik Mavisakalyan - 2017 - Journal of Economics Surveys 32 (3):916-939.
    Linguistic structures have recently started to attract attention from economists as determinants of economic phenomena. This paper provides the first comprehensive review of this nascent literature and its achievements so far. First, we explore the complex connections between language, culture, thought and behaviour. Then, we summarize the empirical evidence on the relationship between linguistic structures and economic and social outcomes. We follow up with a discussion of data, empirical design and identification. The paper concludes by discussing implications for future research (...)
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