Results for 'Generative pre-trained transformer'

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  1. 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 (...)
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  2.  55
    Generative AI and the Foregrounding of Epistemic Injustice in Bioethics.Calvin Wai-Loon Ho - 2023 - American Journal of Bioethics 23 (10):99-102.
    OpenAI’s Chat Generative Pre-training Transformer (ChatGPT), Google’s Bard and other generative artificial intelligence (GenAI) technologies can greatly enhance the capability of healthcare profess...
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  3.  58
    Assessing the performance of ChatGPT in bioethics: a large language model’s moral compass in medicine.Jamie Chen, Angelo Cadiente, Lora J. Kasselman & Bryan Pilkington - 2024 - Journal of Medical Ethics 50 (2):97-101.
    Chat Generative Pre-Trained Transformer (ChatGPT) has been a growing point of interest in medical education yet has not been assessed in the field of bioethics. This study evaluated the accuracy of ChatGPT-3.5 (April 2023 version) in answering text-based, multiple choice bioethics questions at the level of US third-year and fourth-year medical students. A total of 114 bioethical questions were identified from the widely utilised question banks UWorld and AMBOSS. Accuracy, bioethical categories, difficulty levels, specialty data, error analysis (...)
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  4. 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 (...)
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  5. Do Transformers Dream of Real Sheep?Exploring the Unconscious of LLMs through Žižek’s Psychoanalytic Semiotic Lens.Yuxuan Zhang - 2025 - International Journal of Žižek Studies 19 (1).
    In his 2020 work, _ Hegel in a Wired Brain_, Žižek explores whether digital machines can comprehend the unconscious as the surplus of language. According to him, even if future digital machines could decode and comprehend all human thoughts and discourse, they would remain incapable of capturing the unconscious dimension that is retroactively constituted within the chain of signifiers. In recent years, with the remarkable advancements achieved by large language models (LLMs) — such as ChatGPT (Generative Pre-trained (...)) — in the field of natural language processing, these models have emerged as the most promising approaches in artificial intelligence and have become significant subjects of philosophical reflection. Consequently, the pressing question now arises: Can LLMs comprehend, or even possess, their own unconscious?To address these questions,t his paper will first provide a brief technical overview of LLMs, then outline Žižek’s interpretation of the unconscious via Lacanian psychoanaly tic semiotics. Based on several intriguing experiments—such as questioning LLMs about their understanding of the coffee joke and requesting them to generate similar jokes—this study will analyze the unconscious of LLMs. The conclusion will be cautionary: while LLMs do not yet possess a human-equivalent unconscious, they can comprehend and partially access this paradoxical space.Rather than focusing on the traditional issue of whether AI can understand semantics as opposed to syntax, this paper centers on the unconscious third dimension of “ undead ” that lies between semantics and syntax, and whether LLMs can understand this retroactively generated paradoxical viod within the chain of signifiers. (shrink)
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  6.  10
    (1 other version)Education Testing System by Artificial Intelligence.А. Е Рябинин - 2023 - Philosophical Problems of IT and Cyberspace (PhilIT&C) 2:90-107.
    The article describes the possibilities of using and modifying existing machine learning technologies in the field of natural language processing for the purpose of designing a system for automatically generating control and test tasks (CTT). The reason for such studies was the limitations in generating theminimumrequired amount ofCTtomaintain student engagement in game-based learning formats, such as quizzes, and others. These limitations are associated with the lack of time resources among training professionals for manual generation of tests. The article discusses the (...)
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  7. 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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  8.  41
    Death of a reviewer or death of peer review integrity? the challenges of using AI tools in peer reviewing and the need to go beyond publishing policies.Vasiliki Mollaki - 2024 - Research Ethics 20 (2):239-250.
    Peer review facilitates quality control and integrity of scientific research. Although publishing policies have adapted to include the use of Artificial Intelligence (AI) tools, such as Chat Generative Pre-trained Transformer (ChatGPT), in the preparation of manuscripts by authors, there is a lack of guidelines or policies on whether peer reviewers can use such tools. The present article highlights the lack of policies on the use of AI tools in the peer review process (PRP) and argues that we (...)
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  9.  40
    More is Better: English Language Statistics are Biased Toward Addition.Bodo Winter, Martin H. Fischer, Christoph Scheepers & Andriy Myachykov - 2023 - Cognitive Science 47 (4):e13254.
    We have evolved to become who we are, at least in part, due to our general drive to create new things and ideas. When seeking to improve our creations, ideas, or situations, we systematically overlook opportunities to perform subtractive changes. For example, when tasked with giving feedback on an academic paper, reviewers will tend to suggest additional explanations and analyses rather than delete existing ones. Here, we show that this addition bias is systematically reflected in English language statistics along several (...)
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  10.  32
    Culturological reconstruction of ChatGPT's socio-cultural threats and information security of Russian citizens.Pavel Gennadievich Bylevskiy - forthcoming - Philosophy and Culture (Russian Journal).
    The subject of the study is the socio-cultural threats to the information security of Russian citizens associated with ChatGPT technologies (Chat Generative Pre-trained Transformer, a machine-generated text response generator simulating a dialogue). The object of research − evaluation of the ratio of advantages and threats of generative language models based on "machine learning" in modern (2021-2023) scientific literature (journals HAC K1, K2 and Scopus Q1, Q2). The scientific novelty of the research lies in the culturological approach (...)
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  11.  14
    Are GPTs the Answer to Small Clinics’ Digital Struggles? A Comprehensive Implementation Study.Indira Del Rosario, Wenjun Lin & Wenjun Zhang - forthcoming - Evolutionary Studies in Imaginative Culture:67-77.
    Small clinics in North America often struggle to keep pace with the digital transformation sweeping the healthcare industry due to limited financial resources and technological expertise. This digital divide has become more pronounced with the increasing reliance on digital solutions, such as online booking systems and telehealth services, exacerbated further by the COVID-19 pandemic. This paper evaluates whether Generative Pre-trained Transformers (GPTs), introduced by OpenAI, can effectively bridge this gap by providing a cost-effective and efficient solution for small (...)
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  12.  34
    GPT-4-Trinis: assessing GPT-4’s communicative competence in the English-speaking majority world.Samantha Jackson, Barend Beekhuizen, Zhao Zhao & Rhonda McEwen - forthcoming - AI and Society:1-17.
    Biases and misunderstanding stemming from pre-training in Generative Pre-Trained Transformers are more likely for users of underrepresented English varieties, since the training dataset favors dominant Englishes (e.g., American English). We investigate (potential) bias in GPT-4 when it interacts with Trinidadian English Creole (TEC), a non-hegemonic English variety that partially overlaps with standardized English (SE) but still contains distinctive characteristics. (1) Comparable responses: we asked GPT-4 18 questions in TEC and SE and compared the content and detail of the (...)
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  13.  24
    La inteligencia artificial y el impacto en el mundo laboral inteligente.Liviu-Sevastian Bocîi & Nicanor Ursua - 2023 - Eikasia Revista de Filosofía 118:247-269.
    En este ensayo se analiza el impacto de la inteligencia artificial (IA) y la aparición reciente del ChatGPT-4 (Generative Pre-trained Transformer), en el mundo laboral. Este impacto está incidiendo también en la autoestima de las personas al ser sustituidas por robots, aunque esta nueva revolución también está creando la oportunidad para nuevos empleos y potenciando la creatividad. La privacidad puede estar en peligro por la gran recopilación de datos personales que almacenan estos dispositivos. Al final de este (...)
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  14.  15
    Education Testing System by Artificial Intelligence.A. E. Ryabinin - forthcoming - Philosophical Problems of IT and Cyberspace (PhilIT&C).
    The article describes the possibilities of using and modifying existing machine learning technologies in the field of natural language processing for the purpose of designing a system for automatically generating control and test tasks (CTT). The reason for such studies was the limitations in generating theminimumrequired amount ofCTtomaintain student engagement in game-based learning formats, such as quizzes, and others. These limitations are associated with the lack of time resources among training professionals for manual generation of tests. The article discusses the (...)
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  15. The assisted Technology dilemma: a reflection on AI chatbots use and risks while reshaping the peer review process in scientific research.Helmi Ben Saad, Ismail Dergaa, Hatem Ghouili, Halil İbrahim Ceylan, Karim Chamari & Wissem Dhahbi - forthcoming - AI and Society:1-8.
    The rapid adoption of artificial intelligence (AI) chatbots in academic peer review (PR) has sparked both excitement and concern, raising critical questions about the future of scientific integrity. This paper examined how AI tools, particularly Chat Generative Pre-Trained Transformer, are reshaping scientific PR. As these tools become more prevalent in academic evaluation, they bring both opportunities and challenges to scholarly communication. AI assistance offers valuable benefits: it can speed up review processes, help non-native English speakers express their (...)
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  16. Netizens, Academicians, and Information Professionals' Opinions About AI With Special Reference To ChatGPT.Subaveerapandiyan A., A. Vinoth & Neelam Tiwary - 2023 - Library Philosophy and Practice (E-Journal):1-16.
    This study aims to understand the perceptions and opinions of academicians towards ChatGPT-3 by collecting and analyzing social media comments, and a survey was conducted with library and information science professionals. The research uses a content analysis method and finds that while ChatGPT-3 can be a valuable tool for research and writing, it is not 100% accurate and should be cross-checked. The study also finds that while some academicians may not accept ChatGPT-3, most are starting to accept it. The study (...)
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  17.  7
    Dehumanizing the human, humanizing the machine: organic consciousness as a hallmark of the persistence of the human against the backdrop of artificial intelligence.Sergio Torres-Martínez - forthcoming - AI and Society:1-19.
    The rise of generative artificial intelligence (GenAI), especially large language models (LLMs), has fueled debates on whether these technologies genuinely emulate human intelligence. Some view LLM architectures as capturing human language mechanisms, while others, from a posthumanist and a transhumanist perspective, herald the obsolescence of humans as the sole conceptualizers of life and nature. This paper challenges, from a practical philosophy of science perspective, such views by arguing that the reasoning behind equating GenAI with human intelligence, or proclaiming the (...)
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  18.  18
    Pre-Training MLM Using Bert for the Albanian Language.Visar Shehu & Labehat Kryeziu - 2023 - Seeu Review 18 (1):52-62.
    Knowing that language is often used as a classifier of human intelligence and the development of systems that understand human language remains a challenge all the time (Kryeziu & Shehu, 2022). Natural Language Processing is a very active field of study, where transformers have a key role. Transformers function based on neural networks and they are increasingly showing promising results. One of the first major contributions to transfer learning in Natural Language Processing was the use of pre-trained word embeddings (...)
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  19.  25
    Unsupervised law article mining based on deep pre-trained language representation models with application to the Italian civil code.Andrea Tagarelli & Andrea Simeri - 2022 - Artificial Intelligence and Law 30 (3):417-473.
    Modeling law search and retrieval as prediction problems has recently emerged as a predominant approach in law intelligence. Focusing on the law article retrieval task, we present a deep learning framework named LamBERTa, which is designed for civil-law codes, and specifically trained on the Italian civil code. To our knowledge, this is the first study proposing an advanced approach to law article prediction for the Italian legal system based on a BERT (Bidirectional Encoder Representations from Transformers) learning framework, which (...)
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  20.  19
    A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification.Hai Liu, Yuanxia Liu, Leung-Pun Wong, Lap-Kei Lee & Tianyong Hao - 2020 - Complexity 2020:1-11.
    User intent classification is a vital component of a question-answering system or a task-based dialogue system. In order to understand the goals of users’ questions or discourses, the system categorizes user text into a set of pre-defined user intent categories. User questions or discourses are usually short in length and lack sufficient context; thus, it is difficult to extract deep semantic information from these types of text and the accuracy of user intent classification may be affected. To better identify user (...)
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  21.  14
    Connected: How Trains, Genes, Pineapples, Piano Keys, and a Few Disasters Transformed Americans at the Dawn of the Twentieth Century by Steven Cassedy (review).John Mariana - 2017 - Environment, Space, Place 9 (2):138-146.
    In lieu of an abstract, here is a brief excerpt of the content:138 In 2010 the city of Colorado Springs was strapped for cash. Government officials announced that they would either have to raise revenue through increased taxation or cut public services—­ in some cases rather severely—­ including, perhaps, police and fire protection, and even more basic bits of municipal infrastructure. The city shut down one-­ third of residential streetlights and closed public restrooms. Citi­ zens were outraged, but a majority (...)
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  22.  41
    Challenges and Controversies of Generative AI in Medical Diagnosis.Jordi Vallverdú - 2023 - Euphyía - Revista de Filosofía 17 (32):88-121.
    This paper provides a comprehensive exploration of the transformative role of generative AI models, specifically Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), in the realm of medical diagnosis. Drawing from the philosophy of medicine and epidemiology, the paper examines the technical, ethical, and philosophical dimensions of integrating generative models into healthcare. A case study featuring Emily underscores the pivotal support generative AI can offer in complex medical diagnoses. The discussion extends to the application of GANs (...)
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  23.  16
    InstructPatentGPT: training patent language models to follow instructions with human feedback.Jieh-Sheng Lee - forthcoming - Artificial Intelligence and Law:1-44.
    In this research, patent prosecution is conceptualized as a system of reinforcement learning from human feedback. The objective of the system is to increase the likelihood for a language model to generate patent claims that have a higher chance of being granted. To showcase the controllability of the language model, the system learns from granted patents and pre-grant applications with different rewards. The status of “granted” and “pre-grant” are perceived as labeled human feedback implicitly. In addition, specific to patent drafting, (...)
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  24.  61
    How will the state think with ChatGPT? The challenges of generative artificial intelligence for public administrations.Thomas Cantens - forthcoming - AI and Society:1-12.
    This article explores the challenges surrounding generative artificial intelligence (GenAI) in public administrations and its impact on human‒machine interactions within the public sector. First, it aims to deconstruct the reasons for distrust in GenAI in public administrations. The risks currently linked to GenAI in the public sector are often similar to those of conventional AI. However, while some risks remain pertinent, others are less so because GenAI has limited explainability, which, in return, limits its uses in public administrations. Confidentiality, (...)
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  25.  41
    Militant training camp and the aesthetics of civil disobedience.Martin Lang & Tom Grimwood - unknown
    This paper examines the current interest in ‘art activism’, and the relationship between artistic expression and civil disobedience. Boris Groys has argued that the lack of political dissidence within contemporary art is not down to the ineffectiveness of the aesthetic, but the far more effective intrusion of the aesthetic by the political. As such, the political question of civil disobedience is necessarily an aesthetic one. At the same time, this raises problems for how politically effective artistic dissidence can be. As (...)
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  26.  16
    AI Training Program and its Impact on Improving Digital Stories Production Skills.Nashwa A. Younis, Mohamed SaadEldin Mohamed Ahmed, Ibrahim K. Alali & Rehab Tharwat Abd El Ghani Abo Bakr - forthcoming - Evolutionary Studies in Imaginative Culture:1295-1315.
    The current research aims at improving the skills of producing digital stories using the tools of generative artificial intelligence Chat GPT and Google Bard, which are necessary for female student teachers’ specialization: Kindergarten. The current research has used the descriptive approach and the experimental approach with a quasi-experimental design through a design based on one group and comparing the differences between the pre and post-evaluation. The study sample was randomly selected from female students teachers specializing in kindergarten, and their (...)
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  27.  24
    Representing the Cosmos and Transforming the Human: The Onto-hermeneutic Visions of Chung-ying Cheng’s The Primary Way: Philosophy of Yijing.On-cho Ng - 2021 - Journal of Chinese Philosophy 48 (2):185-199.
    The review essay critically evaluates, synoptically presents, and admiringly celebrates Chung-ying Cheng latest work, The Primary Way: Philosophy of Yijing. It sees the book’s publication as an emblem of an intellectual jubilee – a half-centenary of scholarly lucubration and achievement in Chinese and comparative philosophy by Cheng, who was trained at Harvard in American pragmatism and analytic philosophy. The essay reveals why Cheng returns to the Yijing time and again. The principal reason is that this ancient classic, to his (...)
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  28.  40
    The Role of Design and Training in Artifact Expertise: The Case of the Abacus and Visual Attention.Mahesh Srinivasan, Katie Wagner, Michael C. Frank & David Barner - 2018 - Cognitive Science 42 (S3):757-782.
    Previous accounts of how people develop expertise have focused on how deliberate practice transforms the cognitive and perceptual representations and processes that give rise to expertise. However, the likelihood of developing expertise with a particular tool may also depend on the degree to which that tool fits pre‐existing perceptual and cognitive abilities. The present studies explored whether the abacus—a descendent of the first human computing devices—may have evolved to exploit general biases in human visual attention, or whether developing expertise with (...)
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  29.  33
    Capturing the Varieties of Natural Language Inference: A Systematic Survey of Existing Datasets and Two Novel Benchmarks.Reto Gubelmann, Ioannis Katis, Christina Niklaus & Siegfried Handschuh - 2023 - Journal of Logic, Language and Information 33 (1):21-48.
    Transformer-based Pre-Trained Language Models currently dominate the field of Natural Language Inference (NLI). We first survey existing NLI datasets, and we systematize them according to the different kinds of logical inferences that are being distinguished. This shows two gaps in the current dataset landscape, which we propose to address with one dataset that has been developed in argumentative writing research as well as a new one building on syllogistic logic. Throughout, we also explore the promises of ChatGPT. Our (...)
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  30.  52
    Story planning: Creativity through exploration, retrieval, and analogical transformation. [REVIEW]Mark O. Riedl - 2010 - Minds and Machines 20 (4):589-614.
    Storytelling is a pervasive part of our daily lives and culture. The task of creating stories for the purposes of entertaining, educating, and training has traditionally been the purview of humans. This sets up the conditions for a creative authoring bottleneck where the consumption of stories outpaces the production of stories by human professional creators. The automation of story creation may scale up the ability to produce and deliver novel, meaningful story artifacts. From this practical perspective, story generation systems replicate (...)
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  31. AI Assertion.Patrick Butlin & Emanuel Viebahn - 2023 - Ergo: An Open Access Journal of Philosophy.
    Modern generative AI systems have shown the capacity to produce remarkably fluent language, prompting debates both about their semantic understanding and, less prominently, about whether they can perform speech acts. This paper addresses the latter question, focusing on assertion. We argue that to be capable of assertion, an entity must meet two requirements: it must produce outputs with descriptive functions, and it must be capable of being sanctioned by agents with which it interacts. The second requirement arises from the (...)
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  32.  13
    Making Sense of It All: Transforming Political Theory into Educational Policy.Meira Levinson - 1999 - In The Demands of Liberal Education. Oxford University Press UK.
    Addresses the practical implementation of the liberal educational ideal. Section 5.1 identifies the ways in which choice, cultural coherence, and citizenship fit together within an autonomy‐driven education, and also discusses three other possible liberal or educational aims that should potentially help guide the implementation of the liberal ideal: economic competitiveness, democratic self‐reflection, and equality. Section 5.2 constructs a public policy of liberal education, arguing for strict state regulation of schools as well as for school choice in the form of controlled (...)
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  33.  52
    A Bayesian Theory of Sequential Causal Learning and Abstract Transfer.Hongjing Lu, Randall R. Rojas, Tom Beckers & Alan L. Yuille - 2016 - Cognitive Science 40 (2):404-439.
    Two key research issues in the field of causal learning are how people acquire causal knowledge when observing data that are presented sequentially, and the level of abstraction at which learning takes place. Does sequential causal learning solely involve the acquisition of specific cause-effect links, or do learners also acquire knowledge about abstract causal constraints? Recent empirical studies have revealed that experience with one set of causal cues can dramatically alter subsequent learning and performance with entirely different cues, suggesting that (...)
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  34. Large Language Models and the Reverse Turing Test.Terrence Sejnowski - 2023 - Neural Computation 35 (3):309–342.
    Large Language Models (LLMs) have been transformative. They are pre-trained foundational models that are self-supervised and can be adapted with fine tuning to a wide range of natural language tasks, each of which previously would have required a separate network model. This is one step closer to the extraordinary versatility of human language. GPT-3 and more recently LaMDA can carry on dialogs with humans on many topics after minimal priming with a few examples. However, there has been a wide (...)
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  35.  70
    (1 other version)Training, Transformation and Education.David Bakhurst - 2015 - Royal Institute of Philosophy Supplement 76:301-327.
    In Mind and World, John McDowell concludes that human beings and, principally by their initiation into language. Such of human development typically represent first-language learning as a movement from a non-rationally secured conformity with correct practice, through increasing understanding, to a state of rational mastery of correct practice. Accordingly, they tend to invoke something like Wittgenstein's concept of training to explain the first stage of this process. This essay considers the cogency of this view of learning and development. I agree (...)
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  36.  36
    Boosting court judgment prediction and explanation using legal entities.Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Luca Cagliero, Francesco Tarasconi & Elena Baralis - forthcoming - Artificial Intelligence and Law:1-36.
    The automatic prediction of court case judgments using Deep Learning and Natural Language Processing is challenged by the variety of norms and regulations, the inherent complexity of the forensic language, and the length of legal judgments. Although state-of-the-art transformer-based architectures and Large Language Models (LLMs) are pre-trained on large-scale datasets, the underlying model reasoning is not transparent to the legal expert. This paper jointly addresses court judgment prediction and explanation by not only predicting the judgment but also providing (...)
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  37.  27
    Understanding public sentiments and misbeliefs about Sustainable Development Goals: a sentiment and topic modeling analysis.Abhinav Verma & Jogendra Kumar Nayak - 2024 - Journal of Information, Communication and Ethics in Society 22 (2):256-274.
    Misinformation surrounding the Sustainable Development Goals (SDGs) has contributed to the formation of misbeliefs among the public. The purpose of this paper is to investigate public sentiment and misbeliefs about the SDGs on the YouTube platform.,The authors extracted 8,016 comments from YouTube videos associated with SDGs. The authors used a pre-trained Python library NRC lexicon for sentiment and emotion analysis, and to extract latent topics, the authors used BERTopic for topic modeling.,The authors found eight emotions, with negativity outweighing positivity, (...)
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  38.  7
    La dernière catastrophe: l'histoire, le présent, le contemporain.Henry Rousso - 2012 - [Paris]: Gallimard.
    Naguère suspecte, voire rejetée, l'histoire du temps présent a pris aujourd'hui une place sans commune mesure dans l'espace public comme à l'Université - avec l'explosion du nombre d'étudiants en cette matière. A cela, plusieurs raisons : la mémoire et le patrimoine ont envahi l'espace public et scientifique ; le témoignage a pris l'allure d'un impératif social et moral ; la justice temporelle s'est muée en tribunal de l'histoire pour juger de crimes politiques vieux de plusieurs décennies mais dont l'après-coup continue (...)
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  39.  30
    The effects of certain pre-training procedures upon maze performance and their significance for the concept of latent learning.H. W. Karn & J. M. Porter - 1946 - Journal of Experimental Psychology 36 (5):461.
  40.  80
    Explicit pre-training instruction does not improve implicit perceptual-motor sequence learning.Daniel J. Sanchez & Paul J. Reber - 2013 - Cognition 126 (3):341-351.
  41.  17
    Pre-training and diagnosing knowledge base completion models.Vid Kocijan, Myeongjun Jang & Thomas Lukasiewicz - 2024 - Artificial Intelligence 329 (C):104081.
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  42. 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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  43.  9
    The rise of the producer: generative AI will transform content creation into content production.Joel W. Hughes - forthcoming - AI and Society:1-2.
  44.  46
    The memory eye: An examination of memory in traditional knowledge systems. [REVIEW]N. E. Sjoman - 1986 - Journal of Indian Philosophy 14 (2):195-213.
    Let us recapitulate here. A unified learning process is presented here, the principles of which are consistently applied through three distinct periods; the acquisition of knowledge, the analytical examination of it and a third stage where knowledge might be called wisdom. The last stage has been referred to as a synthetic function of memory, the stage where the significance of knowledge is revealed; an understanding of the whole, the capacity for understanding details within the whole, a generative stage of (...)
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    The influence of pre-training evaluative responses on approach-avoidance training outcomes.Anand Krishna & Andreas B. Eder - 2019 - Cognition and Emotion 33 (7):1410-1423.
    ABSTRACTApproach-avoidance training has been shown to be effective in both clinical and laboratory research. However, some studies have failed to show the effects of AAT. Therefore, finding m...
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  46.  52
    Decolonization Projects.Cornelius Ewuoso - 2023 - Voices in Bioethics 9.
    Photo ID 279661800 © Sidewaypics|Dreamstime.com ABSTRACT Decolonization is complex, vast, and the subject of an ongoing academic debate. While the many efforts to decolonize or dismantle the vestiges of colonialism that remain are laudable, they can also reinforce what they seek to end. For decolonization to be impactful, it must be done with epistemic and cultural humility, requiring decolonial scholars, project leaders, and well-meaning people to be more sensitive to those impacted by colonization and not regularly included in the discourse. (...)
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    When Training Becomes Incentive for Generative Living and Working Together in Organizations.Daniela Frascaroli, Caterina Gozzoli & Chiara D'Angelo - 2016 - World Futures 72 (5-6):304-318.
    This article has come about from two considerations: on one hand, living together in a work environment is becoming more and more challenging; on the other, training professionals at work represents a used and relevant action incentive in order to support and improve individual, group, and organizational development. In light of the fact that organizations are asking more and more complex questions, this work aims at developing a reflection on how adopting a certain perspective and educational method is particularly suitable (...)
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  48. 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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  49. The spring of action: in butō improvisation.Carla Bagnoli - 2021 - In Alessandro Bertinetto & Marcello Ruta, The Routledge Handbook of Philosophy and Improvisation in the Arts. Routledge.
    This chapter discusses butō dance as an example of improvisation that challenges not only the extant philosophical definitions of improvisation, but also some fundamental presumptions about self-government and agency that are current in action theory. In the first part of the chapter, I identify the main features of butō improvisation, with regard to the nature of its basic movement, and the kind of subjectivity implicated in its generation. I then raise some questions regarding the philosophical characterization of this form of (...)
     
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  50.  43
    Transformation of Morphomechanical constraints into generative rules of Organic Evolution.L. V. Beloussov - 1993 - World Futures 38 (1):33-42.
    (1993). Transformation of Morphomechanical constraints into generative rules of Organic Evolution. World Futures: Vol. 38, Theoretical Achievements and Practical Applications of General Evolutionary Theory, pp. 33-42.
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