Results for 'ARTIFICIAL INVENTORSHIP'

973 found
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  1. Ties without Tethers.Artificial Heart Trial - 2007 - In Lisa A. Eckenwiler & Felicia Cohn, The ethics of bioethics: mapping the moral landscape. Baltimore: Johns Hopkins University Press.
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  2. The call of the wild?Artificial Lives & Philosophical Dimensions Of Farm - 1995 - In T. B. Mepham, Gregory A. Tucker & Julian Wiseman, Issues in agricultural bioethics. Nottingham: Nottingham University Press.
     
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  3. Otto Neumaier.Artificial Intelligence - 1987 - In Rainer Born, Artificial Intelligence: The Case Against. St Martin's Press. pp. 132.
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  4. Jacques Ferber.Reactive Distributed Artificial - 1996 - In N. Jennings & G. O'Hare, Foundations of Distributed Artificial Intelligence. Wiley. pp. 287.
     
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  5. Mitchell Berman, University of Pennsylvania.Of law & Other Artificial Normative Systems - 2019 - In Toh Kevin, Plunkett David & Shapiro Scott, Dimensions of Normativity: New Essays on Metaethics and Jurisprudence. New York: Oxford University Press.
     
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  6. Evolutionary and religious perspectives on morality.Artificial Intelligence - forthcoming - Zygon.
  7. Michael Wooldridge.Modeling Distributed Artificial - 1996 - In N. Jennings & G. O'Hare, Foundations of Distributed Artificial Intelligence. Wiley. pp. 269.
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  8. Metasubjective processes and, 76 programming for, 323 in realism context, 335-37 strong vs. weak, 106-7 traditional, 218. [REVIEW]Artificial Life - 1997 - In David Martel Johnson & Christina E. Erneling, The future of the cognitive revolution. New York: Oxford University Press. pp. 45--52.
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  9. From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence.Catherine Stinson - 2020 - Philosophy of Science 87 (4):590-611.
    There is a vast literature within philosophy of mind that focuses on artificial intelligence, but hardly mentions methodological questions. There is also a growing body of work in philosophy of science about modeling methodology that hardly mentions examples from cognitive science. Here these discussions are connected. Insights developed in the philosophy of science literature about the importance of idealization provide a way of understanding the neural implausibility of connectionist networks. Insights from neurocognitive science illuminate how relevant similarities between models (...)
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  10.  83
    An Eye for Artificial Intelligence: Insights Into the Governance of Artificial Intelligence and Vision for Future Research.Ruth V. Aguilera & Deepika Chhillar - 2022 - Business and Society 61 (5):1197-1241.
    In this 60th anniversary of Business & Society essay, we seek to make three main contributions at the intersection of governance and artificial intelligence. First, we aim to illuminate some of the deeper social, legal, organizational, and democratic challenges of rising AI adoption and resulting algorithmic power by reviewing AI research through a governance lens. Second, we propose an AI governance framework that aims to better assess AI challenges as well as how different governance modalities can support AI. At (...)
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  11. Part II. A walk around the emerging new world. Russia in an emerging world / excerpt: from "Russia and the solecism of power" by David Holloway ; China in an emerging world.Constraints Excerpt: From "China'S. Demographic Prospects Toopportunities, Excerpt: From "China'S. Rise in Artificial Intelligence: Ingredientsand Economic Implications" by Kai-Fu Lee, Matt Sheehan, Latin America in an Emerging Worldsidebar: Governance Lessons From the Emerging New World: India, Excerpt: From "Latin America: Opportunities, Challenges for the Governance of A. Fragile Continent" by Ernesto Silva, Excerpt: From "Digital Transformation in Central America: Marginalization or Empowerment?" by Richard Aitkenhead, Benjamin Sywulka, the Middle East in an Emerging World Excerpt: From "the Islamic Republic of Iran in an Age of Global Transitions: Challenges for A. Theocratic Iran" by Abbas Milani, Roya Pakzad, Europe in an Emerging World Sidebar: Governance Lessons From the Emerging New World: Japan, Excerpt: From "Europe in the Global Race for Technological Leadership" by Jens Suedekum & Africa in an Emerging World Sidebar: Governance Lessons From the Emerging New Wo Bangladesh - 2020 - In George P. Shultz, A hinge of history: governance in an emerging new world. Stanford, California: Hoover Institution Press, Stanford University.
     
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  12.  62
    From ‘public service’ to artificial insemination: animal breeding science and reproductive research in early twentieth-century Britain.Sarah Wilmot - 2005 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 38 (2):411-441.
    Artificial insemination was the first conceptive technology to be widely used in agriculture. Whereas at the beginning of the twentieth century all cows in England and Wales were mated to bulls, by the end of the 1950s 60% conceived through artificial insemination. By then a national network of ‘cattle breeding centres’ brought AI within the reach of every farmer. In this paper I explore how artificial insemination, which had few supporters in the 1920s and 1930s, was transformed (...)
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  13. A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents.Wendell Wallach, Stan Franklin & Colin Allen - 2010 - Topics in Cognitive Science 2 (3):454-485.
    Recently, there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher-order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can be tested in computer simulations such as software agents or embodied robots. The push to implement computational models of this kind has created the field of artificial general intelligence (AGI). Moral decision making is arguably one of the most challenging tasks for (...)
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  14.  9
    Proceedings of the 1986 Conference on Theoretical Aspects of Reasoning about Knowledge: March 19-22, 1988, Monterey, California.Joseph Y. Halpern, International Business Machines Corporation, American Association of Artificial Intelligence, United States & Association for Computing Machinery - 1986
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  15. Handbook of Logic in Artificial Intelligence and Logic Programming, Vol. 1: Logical Foundations.Dov M. Gabbay, C. J. Hogger & J. A. Robinson - 1995 - Studia Logica 55 (3):449-451.
  16. Integrating Artificial Intelligence into Scholarly Communications for Enhanced Human Cognitive Abilities: The War for Philosophy?Murtala Ismail Adakawa Adakawa - 2024 - Revista Internacional de Filosofía Teórica y Práctica 4 (1):123-159.
    Este artículo explora la integración de la IA en la comunicación académica para mejorar las capacidades cognitivas humanas. La concepción de la comunicación hombre-máquina (CMM), que considera las tecnologías basadas en la IA no como objetos interactivos, sino como sujetos comunicativos, plantea cuestiones más filosóficas en la comunicación académica. Es un hecho conocido que existe una mayor interacción entre los humanos y las máquinas, especialmente consolidada por la pandemia COVID-19, que intensificó el desarrollo del Sistema de Aprendizaje Adaptativo Individual, por (...)
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  17. The Future of Human-Artificial Intelligence Nexus and its Environmental Costs.Petr Spelda & Vit Stritecky - 2020 - Futures 117.
    The environmental costs and energy constraints have become emerging issues for the future development of Machine Learning (ML) and Artificial Intelligence (AI). So far, the discussion on environmental impacts of ML/AI lacks a perspective reaching beyond quantitative measurements of the energy-related research costs. Building on the foundations laid down by Schwartz et al., 2019 in the GreenAI initiative, our argument considers two interlinked phenomena, the gratuitous generalisation capability and the future where ML/AI performs the majority of quantifiable inductive inferences. (...)
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  18. Moral Agents or Mindless Machines? A Critical Appraisal of Agency in Artificial Systems.Fabio Tollon - 2019 - Hungarian Philosophical Review 4 (63):9-23.
    In this paper I provide an exposition and critique of Johnson and Noorman’s (2014) three conceptualizations of the agential roles artificial systems can play. I argue that two of these conceptions are unproblematic: that of causally efficacious agency and “acting for” or surrogate agency. Their third conception, that of “autonomous agency,” however, is one I have reservations about. The authors point out that there are two ways in which the term “autonomy” can be used: there is, firstly, the engineering (...)
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  19.  73
    A Prospective Framework for the Design of Ideal Artificial Moral Agents: Insights from the Science of Heroism in Humans.Travis J. Wiltshire - 2015 - Minds and Machines 25 (1):57-71.
    The growing field of machine morality has becoming increasingly concerned with how to develop artificial moral agents. However, there is little consensus on what constitutes an ideal moral agent let alone an artificial one. Leveraging a recent account of heroism in humans, the aim of this paper is to provide a prospective framework for conceptualizing, and in turn designing ideal artificial moral agents, namely those that would be considered heroic robots. First, an overview of what it means (...)
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  20.  18
    Shifting viewpoints: Artificial intelligence and human–computer interaction.Terry Winograd - 2006 - Artificial Intelligence 170 (18):1256-1258.
  21. The Devefopment of Contemporary Logic From the Perspective of Artificial Intelligence.Bo Chen - 2001 - Philosophy and Culture 28 (10):897-907.
    Computer Science and Artificial Intelligence will be the twenty-first century logic development of the main power source, and in the twenty-first century will largely determine the face of logic. At least in the early twenty-first century, logic will focus on the following topics: how to deal with common sense reasoning in the logic of Eph coordination, non-monotonic and fault tolerance factors? how to make robots with human intelligence and creativity, as established from the empirical evidence used to guide future (...)
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  22. Abortion and the Artificial Uterus.Stephen Coleman - 2002 - Australian Journal of Professional and Applied Ethics 4 (2):9-18.
     
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  23.  16
    Risk-Taking and Artificial Conception.Gerard Elfstrom - 1979 - Hastings Center Report 9 (2):4.
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  24. What Can Artificial Intelligence Do for Scientific Realism?Petr Spelda & Vit Stritecky - 2020 - Axiomathes 31 (1):85-104.
    The paper proposes a synthesis between human scientists and artificial representation learning models as a way of augmenting epistemic warrants of realist theories against various anti-realist attempts. Towards this end, the paper fleshes out unconceived alternatives not as a critique of scientific realism but rather a reinforcement, as it rejects the retrospective interpretations of scientific progress, which brought about the problem of alternatives in the first place. By utilising adversarial machine learning, the synthesis explores possibility spaces of available evidence (...)
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  25. Reduction and emergence in artificial life: a theological appropriation.Niels Henrik Gregersen - 2007 - In Nancey Murphy & William R. Stoeger, Evolution and emergence: systems, organisms, persons. New York: Oxford University Press.
     
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  26. Reasoning with conditionals in artificial intelligence.Bob Kowalski - 2010 - In Mike Oaksford & Nick Chater, Cognition and Conditionals: Probability and Logic in Human Thought. Oxford University Press.
  27. Evaluating the use of artificial intelligence and big data in policy making: Unpacking black boxes and testing white boxes.Frans L. Leeuw - 2024 - In Andrew Koleros, Marie-Hélène Adrien & Tony Tyrrell, Theories of change in reality: strengths, limitations and future directions. New York, NY: Routledge.
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  28. What's so artificial and intelligent about artificial intelligence? : a conceptual framework for AI.Rebeka L. H. Rice - 2022 - In Michael J. Paulus & Michael D. Langford, AI, faith, and the future: an interdisciplinary approach. Eugene, Oregon: Pickwick Publications.
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  29.  39
    Justice as Artificial Virtue in Hume's Treatise.Charles E. Cottle - 1979 - Journal of the History of Ideas 40 (3):457.
  30.  12
    A substitute for an artificial pupil.C. E. Ferree & Gertrude Rand - 1916 - Psychological Review 23 (5):380-382.
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  31.  75
    Social Cognition and Artificial Agents.Anna Strasser - 2017 - In Vincent C. Müller, Philosophy and theory of artificial intelligence 2017. Berlin: Springer. pp. 106-114.
    Standard notions in philosophy of mind have a tendency to characterize socio-cognitive abilities as if they were unique to sophisticated human beings. However, assuming that it is likely that we are soon going to share a large part of our social lives with various kinds of artificial agents, it is important to develop a conceptual framework providing notions that are able to account for various types of social agents. Recent minimal approaches to socio-cognitive abilities such as mindreading and commitment (...)
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  32.  9
    Introduction to Special Section on Virtue in the Loop: Virtue Ethics and Military AI.D. C. Washington, I. N. Notre Dame, National Securityhe is Currently Working on Two Books: A. Muse of Fire: Why The Technology, on What Happens to Wartime Innovations When the War is Over U. S. Military Forgets What It Learns in War, U. S. Army Asymmetric Warfare Group The Shot in the Dark: A. History of the, Global Power Competition His Writing has Appeared in Russian Analytical Digest The First Comprehensive Overview of A. Unit That Helped the Army Adapt to the Post-9/11 Era of Counterinsurgency, The New Atlantis Triple Helix, War on the Rocks Fare Forward, Science Before Receiving A. Phd in Moral Theology From Notre Dame He has Published Widely on Bioethics, Technology Ethics He is the Author of Science Religion, Christian Ethics, Anxiety Tomorrow’S. Troubles: Risk, Prudence in an Age of Algorithmic Governance, The Ethics of Precision Medicine & Encountering Artificial Intelligence - 2025 - Journal of Military Ethics 23 (3):245-250.
    This essay introduces this special issue on virtue ethics in relation to military AI. It describes the current situation of military AI ethics as following that of AI ethics in general, caught between consequentialism and deontology. Virtue ethics serves as an alternative that can address some of the weaknesses of these dominant forms of ethics. The essay describes how the articles in the issue exemplify the value of virtue-related approaches for these questions, before ending with thoughts for further research.
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  33.  2
    Religion, Culture, and Artificial Intelligence: The Postmodern Context of Contemporaneity.Ольга Вікторівна Добродум, Едуард Іванович Мартинюк & Олена Едуардівна Никитченко - 2024 - Ukrainian Religious Studies 96:75-83.
    У статті досліджується специфіка взаємозв’язку релігії, культури та штучного інтелекту (ШІ) у постмодерністському контексті сучасності. У цьому розумінні віртуалізація та штучний інтелект стають не просто інструментами, але й новим способом осмислення світу – вони кидають виклик традиційним уявленням про релігію, культуру, знання, істину й ідентичність. Автори закликають до осягнення можливих шляхів розвитку релігії та культури в постмодерному контексті та до пошуку гармонії між реальним і віртуальним, між традиційним та новаторським, між людським і штучним.
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  34.  9
    Introducing article numbering to Artificial Intelligence.Sweitze Roffel - 2020 - Artificial Intelligence 278 (C):103210.
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  35.  36
    Bishop bradwardine on the artificial memory.Beryl Rowland - 1978 - Journal of the Warburg and Courtauld Institutes 41 (1):307-312.
  36. Seminario Interuniversitario: 'Artificial Life: Modelling Biological and Cognitive Systems'.Jon Umerez - 1991 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 6 (1-2):328-330.
     
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  37.  39
    “Would I Had Him with Me Always”: Affects of Longing in Early Artificial Intelligence.Elizabeth A. Wilson - 2009 - Isis 100 (4):839-847.
    ABSTRACT The science of artificial intelligence (AI) is not as unemotional as it might first appear. Not only are researchers in the field now taking an interest in how to program affective capacities into artificial agents; there is also plenty of historical evidence that concerns about affect have been present in AI from the earliest years. Examination of archival materials from the 1940s and 1950s shows that affects (particularly as they circulate between men) have been a significant part (...)
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  38. Artificial intelligence and meaning — some philosophical aspects of decision-making.Pascal Acot, Sandrine Charles & Marie-Laure Delignette-Muller - 2000 - Acta Biotheoretica 48 (3-4):173-179.
  39.  17
    Royal Society/British Academy" Artificial Intelligence and The Mind: New Breakthroughs or Dead Ends?A. Bundy & R. M. Needham - 1994 - Mind 103.
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  40.  24
    The Sciences of the Artificial Emotions: Comment on Aylett and Paiva.Jonathan Gratch - 2012 - Emotion Review 4 (3):266-268.
    This article offers a critical perspective on efforts to build computational models of human emotional processes. I argue that current computational scientists are missing an opportunity to bring simplicity and clarity to emotion research by adopting an overly literal interpretation of psychological theory. Rather, hearkening back to arguments from the early days of cognitive science, I suggest an approach of reinterpreting psychological phenomena through the lens of computation. I illustrate this approach through models of emotional dynamics and cultural differences.
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  41. Encyclopedia of Artificial Intelligence.A. Pazos Sierra, J. R. Rabunal Dopico & J. Dorado de la Calle (eds.) - 2009 - Hershey.
  42. Emotions in artificial neural networks. Roesch, Eb, Korsten, N., Fragopanagos, Taylor & Jg - 2010 - In Klaus R. Scherer, Tanja Bänziger & Etienne Roesch, A Blueprint for Affective Computing: A Sourcebook and Manual. Oxford University Press.
  43. A Question In End-of-life Medicine In Japan: Three Levels Structure Analysis Of The Ethics Of Provision Of Permanent And Active Artificial Nutrition And Hydration For Elderly Who Cannot Eat.Atsushi Asai - 2011 - Eubios Journal of Asian and International Bioethics 21 (1-2):37-40.
    This article will focus on issues concerning the provision of artificial nutrition and hydration to patients who are extremely old, completely bedridden, and totally dependent on others. These patients have no advance directives, no malignancy, suffer from persistent but unstable disturbance of consciousness as well as severe cognitive impairment, and cannot eat sufficient amounts of food to maintain their lives. Should ANH be provided? Some would agree while others would maintain otherwise. The underlying values and normative theory behind each (...)
     
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  44.  17
    Uncertainty of Artificial Intelligence Assistant: The Effect of Assistant Type on Variety Seeking.Yu Zhang, Mengya Yang & Ziling Zhang - 2022 - Frontiers in Psychology 13.
    In service marketing, AI assistants and self-service technology have become popular. As a result, it is critical to enrich the understanding of whether consumers react differently in the artificial intelligence service context in comparison with the human service context. This study examines the effect of assistant type on consumers’ decision-making. Through three experiments, this research finds that variety seeking will be higher when consumers are making decision in AI service environment. Furthermore, we tested uncertainty as the underlying mechanism. Moreover, (...)
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  45.  33
    Geometric reasoning and artificial intelligence: Introduction to the special volume.Deepak Kapur & Joseph L. Mundy - 1988 - Artificial Intelligence 37 (1-3):1-11.
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  46.  15
    Two Questions Concerning Ontological Status of Artificial Intelligence. 고인석 - 2018 - Cheolhak-Korean Journal of Philosophy 136:161-183.
    이 논문은 인공지능의 존재론적 지위를 평가하기 위한 두 개의 물음을 던진다. 하나는 인공지능이 개념을 가질 수 있는가 하는 물음이고, 다른 하나는 인공지능이 행위의 능력을 가졌는가 하는 물음이다. 개념 능력은 인공지능이 통상적인 언어의 형태로 주어지는 명령이나 정보를 능동적으로 이해하고 그것의 작동에 반영할 수 있기 위한 필요조건이다. 최근 인공지능 기술은 영상자료에서 비지도 학습의 방식으로 특정 범주의 사물을 식별해내는 성과를 거뒀지만, 이런 식별의 능력은 개념 능력의 필요조건도 충분조건도 아니다. 인공지능이 우리와 같은 개념을 가지도록 하는 것은 인간 사회의 언어 관행을 고스란히 학습시키는 방식으로 가능할 (...)
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  47.  69
    Collective Responsibility and Artificial Intelligence.Isaac Taylor - 2024 - Philosophy and Technology 37 (1):1-18.
    The use of artificial intelligence (AI) to make high-stakes decisions is sometimes thought to create a troubling responsibility gap – that is, a situation where nobody can be held morally responsible for the outcomes that are brought about. However, philosophers and practitioners have recently claimed that, even though no individual can be held morally responsible, groups of individuals might be. Consequently, they think, we have less to fear from the use of AI than might appear to be the case. (...)
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  48. The Philosophy of Artificial Intelligence, « Oxford Readings in philosophy ».Margaret Boden - 1992 - Revue Philosophique de la France Et de l'Etranger 182 (1):94-95.
     
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  49. A speculative machine,(information, artificial-intelligence and cognitive research).Mario Borillo - 1990 - Revue Internationale de Philosophie 44 (172):47-61.
  50.  16
    Poem: On Real and Artificial Flowers.Chengde Chen - 2004 - Philosophy Now 45:54-54.
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