Results for 'Artificial Intelligence'

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  1. Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence.Carlos Zednik - 2019 - Philosophy and Technology 34 (2):265-288.
    Many of the computing systems programmed using Machine Learning are opaque: it is difficult to know why they do what they do or how they work. Explainable Artificial Intelligence aims to develop analytic techniques that render opaque computing systems transparent, but lacks a normative framework with which to evaluate these techniques’ explanatory successes. The aim of the present discussion is to develop such a framework, paying particular attention to different stakeholders’ distinct explanatory requirements. Building on an analysis of (...)
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  2. 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 (ed.), A hinge of history: governance in an emerging new world. Stanford, California: Hoover Institution Press, Stanford University.
     
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  3.  25
    In Search of a Mission: Artificial Intelligence in Clinical Ethics.Nikola Biller-Andorno, Andrea Ferrario & Sophie Gloeckler - 2022 - American Journal of Bioethics 22 (7):23-25.
    Artificial intelligence has found its way into many areas of human life, serving a range of purposes. Sometimes AI tools are designed to help humans eliminate high-volume, tedious, routine tas...
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  4.  90
    Argument in artificial intelligence and law.Trevor Bench-Capon - 1997 - Artificial Intelligence and Law 5 (4):249-261.
    In this paper I shall discuss the notion of argument, and the importanceof argument in AI and Law. I shall distinguish four areas where argument hasbeen applied: in modelling legal reasoning based on cases; in thepresentation and explanation of results from a rule based legal informationsystem; in the resolution of normative conflict and problems ofnon-monotonicity; and as a basis for dialogue games to support the modellingof the process of argument. The study of argument is held to offer prospectsof real progress (...)
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  5.  31
    Deep Learning Meets Deep Democracy: Deliberative Governance and Responsible Innovation in Artificial Intelligence.Alexander Buhmann & Christian Fieseler - forthcoming - Business Ethics Quarterly:1-34.
    Responsible innovation in artificial intelligence calls for public deliberation: well-informed “deep democratic” debate that involves actors from the public, private, and civil society sectors in joint efforts to critically address the goals and means of AI. Adopting such an approach constitutes a challenge, however, due to the opacity of AI and strong knowledge boundaries between experts and citizens. This undermines trust in AI and undercuts key conditions for deliberation. We approach this challenge as a problem of situating the (...)
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  6. The Future Impact of Artificial Intelligence on Humans and Human Rights.Steven Livingston & Mathias Risse - 2019 - Ethics and International Affairs 33 (2):141-158.
  7.  20
    The Reasonable Robot: Artificial Intelligence and the Law.Ryan Abbott - 2020 - Cambridge University Press.
    AI and people do not compete on a level-playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being. (...)
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  8.  14
    A conceptual framework for clinicians working with artificial intelligence and health‐assistive Smart Homes.Gordana Dermody & Roschelle Fritz - 2019 - Nursing Inquiry 26 (1):e12267.
    The Smart Home designed to extend older adults independence is emerging as a clinical solution to the growing ageing population. Nurses will and should play a key role in the development and application of Smart Home technology. Accordingly, conceptual frameworks are needed for nurse scientists who are collaborating with multidisciplinary research teams in developing an intelligent Smart Home that assists with managing older adults’ health. We present a conceptual framework that is grounded in critical realism and pragmatism, informing a unique (...)
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  9.  20
    The age of the algorithmic society a Girardian analysis of mimesis, rivalry, and identity in the age of artificial intelligence.Lucas Freund - forthcoming - AI and Society:1-10.
    This paper explores the intersection of René Girard's mimetic theory and the algorithmic society, particularly in the context of the potential advent of Artificial General Intelligence (AGI). Girard's theory, which elucidates the dynamics of desire, rivalry, scapegoating, and the sacrificial crisis, provides a unique lens through which to examine the complexities of our relationship with AI and its role in the creation of the sacred. As individuals increasingly rely on AI recommendations, the distinction between personal choice and algorithmic (...)
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  10.  82
    Dialectical models in artificial intelligence and law.Jaap Hage - 2000 - Artificial Intelligence and Law 8 (2-3):137-172.
    Dialogues and dialectics have come to playan important role in the field of ArtificialIntelligence and Law. This paper describes thelegal-theoretical and logical background of this role,and discusses the different services into whichdialogues are put. These services include:characterising logical operators, modelling thedefeasibility of legal reasoning, providing the basisfor legal justification and identifying legal issues,and establishing the law in concrete cases. Specialattention is given to the requirements oflaw-establishing dialogues.
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  11.  43
    Introduction for artificial intelligence and law: special issue “natural language processing for legal texts”.Livio Robaldo, Serena Villata, Adam Wyner & Matthias Grabmair - 2019 - Artificial Intelligence and Law 27 (2):113-115.
  12.  8
    Philosophical and Methodological Foundations for Improving Digital Transformation and Implementing Artificial Intelligence.Владимир Евгеньевич Лепский - 2022 - Russian Journal of Philosophical Sciences 65 (1):91-108.
    Nowadays, there is an evolving process of digital transformation and the introduction of artificial intelligence (AI) into a wide range of social systems. Usually, insufficient attention is paid to assessing the social consequences of such innovations. The underlying causes of that are related to the dominance of the technogenic model of civilization, the embodiment of which is the technocratic approach, and the use of this approach in the interests of the globalist project. In the development and implementation of (...)
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  13.  15
    Hard choices in artificial intelligence.Roel Dobbe, Thomas Krendl Gilbert & Yonatan Mintz - 2021 - Artificial Intelligence 300 (C):103555.
  14.  34
    On conflicts between ethical and logical principles in artificial intelligence.Giuseppe D’Acquisto - 2020 - AI and Society 35 (4):895-900.
    Artificial intelligence is nowadays a reality. Setting rules on the potential outcomes of intelligent machines, so that no surprise can be expected by humans from the behavior of those machines, is becoming a priority for policy makers. In its recent Communication “Artificial Intelligence for Europe”, for instance, the European Commission identifies the distinguishing trait of an intelligent machine in the presence of “_a certain degree of autonomy_” in decision making, in the light of the context. The (...)
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  15.  20
    Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers’ perspectives.Faten Mane Aldhafeeri - 2024 - BMC Medical Ethics 25 (1):1-8.
    Background The integration of artificial intelligence (AI) in radiography presents transformative opportunities for diagnostic imaging and introduces complex ethical considerations. The aim of this cross-sectional study was to explore radiographers’ perspectives on the ethical implications of AI in their field and identify key concerns and potential strategies for addressing them. Methods A structured questionnaire was distributed to a diverse group of radiographers in Saudi Arabia. The questionnaire included items on ethical concerns related to AI, the perceived impact on (...)
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  16.  29
    Legal Person- or Agenthood of Artificial Intelligence Technologies.Tanel Kerikmäe, Peeter Müürsepp, Henri Mart Pihl, Ondrej Ondrej Hamuľák & Hovsep Kocharyan - 2020 - Acta Baltica Historiae Et Philosophiae Scientiarum 8 (2):73-92.
    Artificial intelligence is developing rapidly. There are technologies available that fulfil several tasks better than humans can and even behave like humans to some extent. Thus, the situation prompts the question whether AI should be granted legal person- and/or agenthood? There have been similar situations in history where the legal status of slaves or indigenous peoples was discussed. Still, in those historical questions, the subjects under study were always natural persons, i.e., they were living beings belonging to the (...)
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  17.  34
    Natural intelligence and artificial intelligence: bridging the gap between neurons and neuro-imaging to understand intelligent behaviour.Stan Gielen - 2007 - In Wlodzislaw Duch & Jacek Mandziuk (eds.), Challenges for Computational Intelligence. Springer. pp. 145--161.
  18. Ethical problems of artificial-intelligence.P. Hajek - 1986 - Filosoficky Casopis 34 (3):467-471.
  19.  47
    Acting, intending, and artificial intelligence.L. Hauser - 1994 - Behavior and Philosophy 22 (1):22-28.
    Hauser considers John Searle's attempt to distinguish acts from movements. On Searle's account, the difference between me raising my arm and my arm's just going up (e.g., if you forcibly raise it), is the causal involvement of my intention to raise my arm in the former, but not the latter, case. Yet, we distinguish a similar difference between a robot's raising its arm and its robot arm just going up (e.g., if you manually raise it). Either robots are rightly credited (...)
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  20.  18
    Imitation or Efficiency? Aesthetics of Artificial Intelligence.Zheng Chen & Yu He - 2020 - Foundations of Science 26 (3):475-486.
    Artificial intelligence is regarded in the context of the tasks that are delegated to it during the development of technical projects and the features of the implementation of tasks that must be performed in real time without the possibility of interruption. The relevance of the study is determined by the fact that artificial intelligence sees as its main task the formalisation of decision-making with little or no human involvement. The basis of the methodological search are biological (...)
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  21.  12
    Landscapes of Sociotechnical Imaginaries in Education: A Theoretical Examination of Integrating Artificial Intelligence in Education.Dan Mamlok - forthcoming - Foundations of Science.
    The vision of integrating artificial intelligence in education is part of an ongoing push for harnessing digital solutions to improve teaching and learning. Drawing from Jasanoff and Hasse, this paper deliberates on how sociotechnical imaginaries are interrelated to the implications of new technologies, such as AI, in education. Complicating Hasses’s call for the development of Socratic ignorance to consider our predispositions about new technologies and open new prospects of thought, this paper revisits postphenomenology and Feenberg’s critical constructivist theories. (...)
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  22.  31
    Prediction Promises: Towards a Metaphorology of Artificial Intelligence.Leonie A. Möck - 2023 - Journal of Aesthetics and Phenomenology 9 (2):119-139.
    1. Artificial Intelligence is an ambiguous umbrella term. Until today there is no uniform definition of AI and the term carries several meanings. As exemplary, I will give two definitions of AI tha...
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  23. Emotion, Cognition and Artificial Intelligence.Jason Megill - 2014 - Minds and Machines 24 (2):189-199.
    Some have claimed that since machines lack emotional “qualia”, or conscious experiences of emotion, machine intelligence will fall short of human intelligence. I examine this objection, ultimately finding it unpersuasive. I first discuss recent work on emotion that suggests that emotion plays various roles in cognition. I then raise the following question: are phenomenal experiences of emotion an essential or necessary component of the performance of these cognitive abilities? I then sharpen the question by distinguishing between four possible (...)
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  24.  31
    Gunderson and Searle: A common error about artificial intelligence.Glenn C. Joy - 1989 - Southwest Philosophical Studies 28:28-34.
  25.  62
    Human reasoning about artificial intelligence.Patrick J. Hayes, Kenneth M. Ford & J. R. Adams-Webber - 1994 - Journal of Experimental and Theoretical Artificial Intelligence 4:247-63.
  26.  18
    Correction: Ethical use of artificial intelligence to prevent sudden cardiac death: an interview study of patient perspectives.Menno T. Maris, Ayca Koçar, Dick L. Willems, Jeannette Pols, Hanno L. Tan, Georg L. Lindinger & Marieke A. R. Bak - 2024 - BMC Medical Ethics 25 (1):1-2.
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  27.  17
    A Historical Interaction between Artificial Intelligence and Philosophy.Youheng Zhang - forthcoming - Teorie Vědy / Theory of Science.
    This paper delves into AI development’s historical and philosophical dimensions while highlighting the symbiotic relationship between philosophy and AI from a technological perspective: philosophy furnishes foundational concepts, and AI supplies practical tools. The paper posits neurosymbolic AI as a solution to present challenges, sparking discussions encompassing both technical and philosophical considerations. Advocating a multidisciplinary approach calls for merging empirical AI insights with philosophy and cognition science to enrich our comprehension of intelligence and propel AI forward.
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  28.  31
    John Dewey and Citizen Politics: How Democracy Can Survive Artificial Intelligence and the Credo of Efficiency.Harry C. Boyte - 2017 - Education and Culture 33 (2):13.
    Intolerance, abuse, calling of names because of differences of opinion about religion or politics or business, as well as because of differences of race, color, wealth or degree of culture are treason to the democratic way of life. Merely legal guarantees of the civil liberties of free belief, free expression, free assembly are of little avail if the give and take of ideas, facts, experiences, is choked by mutual suspicion, by abuse, by fear and hatred.Without some kind of oversight, the (...)
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  29.  27
    The Development, Implementation, and Oversight of Artificial Intelligence in Health Care: Legal and Ethical Issues.Jenna Becker, Sara Gerke & I. Glenn Cohen - 2023 - In Erick Valdés & Juan Alberto Lecaros (eds.), Handbook of Bioethical Decisions. Volume I: Decisions at the Bench. Springer Verlag. pp. 441-456.
    Artificial Intelligence (AI), especially of the machine learning (ML) variety, is used by health care organizations to assist with a number of tasks, including diagnosing patients and optimizing operational workflows. AI products already proliferate the health care market, with usage increasing as the technology matures. Although AI may potentially revolutionize health care, the use of AI in health settings also leads to risks ranging from violating patient privacy to implementing a biased algorithm. This chapter begins with a broad (...)
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  30. Ethics and Artificial Intelligence in Public Health Social Work.David Gray Grant - 2018 - In Milind Tambe & Eric Rice (eds.), Artificial Intelligence and Social Work. Cambridge University Press.
  31. Theoretical foundations for artificial-intelligence and philosophy of the mind.B. Marchal - 1990 - Revue Internationale de Philosophie 44 (172):104-107.
  32. Inductive Ambiguity and Artificial Intelligence.Satosi Watanabe - 1987 - Epistemologia 10 (2):187.
  33.  8
    Information retrieval and artificial intelligence.Karen Sparck Jones - 1999 - Artificial Intelligence 114 (1-2):257-281.
  34.  46
    Fundamental Issues in Artificial Intelligence.Yoav Yigael - 2011 - World Futures 67 (8):564 - 568.
  35.  10
    Predicting Patient Preferences with Artificial Intelligence: The Problem of the Data Source.Lukas J. Meier - 2024 - American Journal of Bioethics 24 (7):48-50.
    The concept of a Patient Preference Predictor—an algorithm that supplements or replaces the process of surrogate decision-making for incapacitated patients—was first suggested a decade ago (Rid and...
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  36.  17
    Rationality in Philosophy and Artificial Intelligence.John L. Pollock - 2000 - The Proceedings of the Twentieth World Congress of Philosophy 9:123-132.
    I argue here that sophisticated AI systems, with the exception of those aimed at the psychological modeling of human cognition, must be based on general philosophical theories of rationality and, conversely, philosophical theories of rationality should be tested by implementing them in AI systems. So the philosophy and the AI go hand in hand. I compare human and generic rationality within a broad philosophy of AI and conclude by suggesting that ultimately, virtually all familiar philosophical problems will turn out to (...)
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  37. Subaltern' imaginings of artificial intelligence : Enthiran and CHAPPiE.William Brown - 2022 - In Christine Daigle & Terrance H. McDonald (eds.), From Deleuze and Guattari to posthumanism: philosophies of immanence. New York: Bloomsbury Academic.
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  38.  7
    Visual Performance of Psychological Factors in Interior Design Under the Background of Artificial Intelligence.Yunkai Xu & TianTian Yu - 2022 - Frontiers in Psychology 13.
    Sensation is the reflection of the brain on the individual attributes of objective things that directly act on the sense organs. Feeling is the most elementary cognitive process and the simplest psychological phenomenon. Vision is a kind of sense, and sense is produced by objective things acting on the sense organs. But at present, it is rare to analyze interior design exhibition from the perspective of visual psychology, an emerging science, as an interdisciplinary attempt, only in interior design research. Therefore, (...)
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  39.  5
    Research on the Model of Music Sight-Singing Guidance System Based on Artificial Intelligence.Tong Zhe - 2021 - Complexity 2021:1-11.
    Intelligent Guided Learning System is a computer system that uses computers to imitate the experience and methods of teaching experts to assist in teaching; ITS provides learners with personalized learning resources and adaptive teaching methods, thus reducing students’ dependence on teachers and realizing independent learning. After years of research and development, and with the help of artificial intelligence technology, ITS has basically formed a stable structure and unified implementation specifications and has given birth to many excellent products in (...)
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  40.  8
    Natural and artificial intelligence (conceptual approach) — materials of the Fourth International Joint Conference on Artificial Intelligence.Yefim Schukin - 1977 - Artificial Intelligence 8 (2):233-238.
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  41.  7
    Live Like Nobody Is Watching: Relational Autonomy in the Age of Artificial Intelligence Health Monitoring by Anita Ho.Tina Nguyen - 2024 - International Journal of Feminist Approaches to Bioethics 17 (1):101-105.
    In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Live Like Nobody Is Watching: Relational Autonomy in the Age of Artificial Intelligence Health Monitoring by Anita HoTina Nguyen (bio)Live Like Nobody Is Watching: Relational Autonomy in the Age of Artificial Intelligence Health Monitoring by Anita Ho New York: Oxford University Press, 2023As the reach of artificial intelligence (AI)- and machine learning (ML)-enabled technologies continues to expand in the healthcare field, bioethicists (...)
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  42. Towards enabling trusted artificial intelligence via Blockchain.K. Sarpatwar, R. Vaculin, H. Min, G. Su, T. Heath, G. Ganapavarapu & D. Dillenberger - 2019 - In .
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  43.  1
    Logical foundations of artificial intelligence.Stephen W. Smoliar - 1989 - Artificial Intelligence 38 (1):119-124.
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  44.  2
    Machine learning: An artificial intelligence approach.Mark J. Stefik - 1985 - Artificial Intelligence 25 (2):236-238.
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  45.  12
    From Absolute Mind to Zombie: Is Artificial Intelligence Possible?Moritz Ernst Maria Bilagher - 2022 - Scientia et Fides 10 (1):155-176.
    The dream of achieving artificial intelligence and, in particular, artificial consciousness, is reflected in mythologies and popular culture as utopia and dystopia. This article discusses its conceptual possibility. It first relates the desire to realise strong AI to a self-perception of humanity as opposed to nature, metaphorically represented as gods or God. The realisation of strong AI is perceived as an ultimate victory on nature or God because it represents the crown of creation or evolution: conscious (...). The paper proceeds to summarise two debates relevant to AI: one educational and one technological. The technological debate, almost invariably presupposing a materialist framework, is related to the mind–body problem of philosophy; the educational one to understanding the concept of intelligence. By proposing a definition of intelligence linked to an idealist conception of reality, postulating mind as participation in Absolute Mind, I attempt a convergence of these debates, rejecting the possibility of strong AI. (shrink)
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  46.  9
    Basic questions of the philosophy of artificial intelligence.Evgeniya Konstantinovna Belikova - forthcoming - Philosophy and Culture (Russian Journal).
    The object of the study is a special branch of scientific knowledge, formed at the intersection of interests of various humanitarian disciplines – the philosophy of artificial intelligence; the subject of the study is the problems it considers. The author identifies the main traditional questions that the philosophy of artificial intelligence tried to answer earlier. Such questions in the earlier stages of the development of science were concentrated around the possibility of artificial intelligence to (...)
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  47.  6
    Reimaging the Imaginaries of Artificial Intelligence.Alexei Grinbaum - 2023 - Techné Research in Philosophy and Technology 27 (3):405-410.
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  48.  29
    What dangers lurk in the development of emotionally competent artificial intelligence, especially regarding the trend towards sex robots? A review of Catrin Misselhorn’s most recent book.Janina Luise Samuel & André Schmiljun - 2023 - AI and Society 38 (6):2717-2721.
    The discussion around artificial empathy and its ethics is not a new one. This concept can be found in classic science fiction media such as Star Trek and Blade Runner and is also pondered on in more recent interactive media such as the video game Detroit: Become Human. In most depictions, emotions and empathy are presented as the key to being human. Misselhorn's new publication shows that these futuristic stories are becoming more and more relevant today. We must ask (...)
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  49.  4
    On logical foundations of artificial intelligence.Nils Nilsson - 1989 - Artificial Intelligence 38 (1):132-133.
  50.  53
    Plato, Wittgenstein and Artificial Intelligence.Asher Seidel - 1991 - Metaphilosophy 22 (4):292-306.
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