Results for 'multiple intelligences'

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  1. Integrating Multiple Intelligence and Artificial Intelligence in Language Learning: Enhancing Personalization and Engagement.Edgar Eslit - 2023 - Preprints.
    This paper explores the integration of multiple intelligences and artificial intelligence (AI) in language learning, focusing on its potential to enhance personalization and engagement. Drawing from existing research and studies conducted in various contexts, including the Philippines, this study aims to contribute to the understanding of the benefits, challenges, and effectiveness of this integration. The paper begins with an introduction that highlights the background and significance of integrating multiple intelligences and AI in language learning, identifying research (...)
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  2. Taking a multiple intelligences perspective.Howard Gardner - 2017 - Behavioral and Brain Sciences 40.
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  3. Illusory intelligences?John White - 2008 - Journal of Philosophy of Education 42 (3-4):611-630.
    Howard Gardner's theory of Multiple Intelligences has had a huge influence on school education. But its credentials lack justification, as the first section of this paper shows via a detailed philosophical analysis of how the intelligences are identified. If we want to make sense of the theory, we need to turn from a philosophical to a historical perspective. This is provided in the second section, which explores how the theory came to take shape in the course of (...)
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  4. Artificial Intelligence and Its Impact on Punjabi culture.Devinder Pal Singh - 2023 - Punjab Dey Rang, Lahore, Pakistan 17 (3):5-10.
    Artificial Intelligence (AI) is a technology that makes machines smart and capable of doing things that usually require human intelligence. It is a rapidly evolving field with ongoing research and development to advance its capabilities and address its limitations. AI has permeated various aspects of our daily lives, and its applications can be found in numerous products and services. The integration of AI continues to expand across multiple sectors, providing convenience, personalization, and efficiency in our daily lives. While Punjabi (...)
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  5. Triarchic intelligences and engagement: The erratic factors in mathematics.Grace Mae Flores - 2024 - International Journal of Educational Management and Development Studies 5 (2):57-76.
    This study determined the relationship between triarchic intelligences and engagement as factors in mathematics achievement of 1148 Grade 10 students in the Division of Davao del Norte, Philippines. It also investigated the relationship among the variables utilizing a descriptive-correlational and causal-comparative research design. Modified survey questionnaires were used for triarchic intelligence and engagement scales which were validated by the panel of experts. Standardized Division Unified Test was used to measure the mathematics achievement. Mean and Pearson product moment coefficient correlation (...)
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  6. Theory of Cooperative-Competitive Intelligence: Principles, Research Directions, and Applications.Robert Hristovski & Natàlia Balagué - 2020 - Frontiers in Psychology 11.
    We present a theory of cooperative-competitive intelligence (CCI), its measures, research program, and applications that stem from it. Within the framework of this theory, satisficing sub-optimal behavior is any behavior that does not promote a decrease in the prospective control of the functional action diversity/unpredictability (D/U) potential of the agent or team. This potential is defined as the entropy measure in multiple, context-dependent dimensions. We define the satisficing interval of behaviors as CCI. In order to manifest itself at individual (...)
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  7. Ontology for the Intelligence Analyst.Barry Smith - 2012 - CrossTalk 14 (Nov/Dec):18-25.
    As available intelligence data and information expand in both quantity and variety, new techniques must be deployed for search and analytics. One technique involves the semantic enhancement of data through the creation of what are called ‘ontologies’ or ‘controlled vocabularies.’ When multiple different bodies of heterogeneous data are tagged by means of terms from common ontologies, then these data become linked together in ways which allow more effective retrieval and integration. We describe a simple case study to show how (...)
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  8. Multiple Universes and the Surprisingness of Life: A Response to Roger White's Conclusions on Design Arguments.Kevin Kinghorn - 2005 - Philosophia Christi 7 (2):483 - 490.
    In his essay, "Fine-Tuning and Multiple Universes", Roger White examines the extent to which a multiple-universe hypothesis lessens the ’surprisingness’ that our universe should be life-sustaining. White offers two main conclusions. His first conclusion -- that the existence of our world is not itself evidence for the existence of multiple universes -- is sound. However, his second conclusion is that, on the hypothesis that multiple universes exist, the further hypothesis of an intelligent designer does not lesson (...)
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  9. Intelligent Design: The Original Version.Francisco J. Ayala - 2003 - Theology and Science 1 (1):9-32.
    William Paley ( Natural Theology , 1802) developed the argument-from-design. The complex structure of the human eye evinces that it was designed by an intelligent Creator. The argument is based on the irreducible complexity ("relation") of multiple interacting parts, all necessary for function. Paley adduces a wealth of biological examples leading to the same conclusion; his knowledge of the biology of his time was profound and extensive. Charles Darwin’s Origin of Species is an extended argument demonstrating that the "design" (...)
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  10. Computation and Multiple Realizability.Marcin Miłkowski - 2016 - In Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence. Cham: Springer. pp. 29-41.
    Multiple realizability (MR) is traditionally conceived of as the feature of computational systems, and has been used to argue for irreducibility of higher-level theories. I will show that there are several ways a computational system may be seen to display MR. These ways correspond to (at least) five ways one can conceive of the function of the physical computational system. However, they do not match common intuitions about MR. I show that MR is deeply interest-related, and for this reason, (...)
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  11. A Holistic Test for (Artificial) General Intelligence.Gomez-Ramirez Danny A. J. & Kieninger Judith - manuscript
    We approach the notion of general (global) human intelligence as a prominently multifaceted concept which can be tested in at least seventy specific scenarios. We say that an agent has Artificial Global Intelligence (AGLI), if it is able to perform in an intelligent manner for at least the collection of tasks defining the former scenarios. In particular, based on Gartner's multiple intelligences theory, we describe the design of a concrete test for AGLI made in such a way that (...)
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  12. On Controllability of Artificial Intelligence.Roman Yampolskiy - 2016
    Invention of artificial general intelligence is predicted to cause a shift in the trajectory of human civilization. In order to reap the benefits and avoid pitfalls of such powerful technology it is important to be able to control it. However, possibility of controlling artificial general intelligence and its more advanced version, superintelligence, has not been formally established. In this paper, we present arguments as well as supporting evidence from multiple domains indicating that advanced AI can’t be fully controlled. Consequences (...)
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  13. A High Level Theory on the Nature of Intelligence and Consciousness.Arnau Garriga-Casanovas - manuscript
    Research into artificial intelligence has increased significantly in recent years. However, the fundamental question of what intelligence is and how it works remains open to some extent. Traditional definitions of intelligence are broad and lack clarity regarding its nature and mechanisms. The nature of consciousness is another matter that has been widely explored with multiple theories but for which we do not have a final agreed theory, especially in terms of its relation to intelligence. In this work, we present (...)
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  14. Artificial Intelligence: From Talos to da Vinci.Konstantinos C. Christodoulou & Gregory Tsoucalas - 2023 - European Journal of Therapeutics 29 (3):e25-e27.
    The mythical bronze creature Talos (Greek: Τάλως) was worshiped initially as the god of light or the sun in the Hellenic Island of Crete. He is supposed to have lived in the peak Kouloukona of the Tallaia Mountains in the Gerontospelio cave. His relation towards bronze and fire and his continuous voyage circling the island of Crete most probably introduces the concept of the change of the four seasons. The sun was considered in the area of the South-East Mediterranean nations (...)
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  15. What is wrong with intelligent design?Elliott Sober - 2007 - Quarterly Review of Biology 82 (1):3-8.
    This article reviews two standard criticisms of creationism/intelligent design (ID): it is unfalsifiable, and it is refuted by the many imperfect adaptations found in nature. Problems with both criticisms are discussed. A conception of testability is described that avoids the defects in Karl Popper’s falsifiability criterion. Although ID comes in multiple forms, which call for different criticisms, it emerges that ID fails to constitute a serious alternative to evolutionary theory.
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  16. First Steps Towards an Ethics of Robots and Artificial Intelligence.John Tasioulas - 2019 - Journal of Practical Ethics 7 (1):61-95.
    This article offers an overview of the main first-order ethical questions raised by robots and Artificial Intelligence (RAIs) under five broad rubrics: functionality, inherent significance, rights and responsibilities, side-effects, and threats. The first letter of each rubric taken together conveniently generates the acronym FIRST. Special attention is given to the rubrics of functionality and inherent significance given the centrality of the former and the tendency to neglect the latter in virtue of its somewhat nebulous and contested character. In addition to (...)
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  17.  73
    Intelligent Driver Drowsiness Detection System Using Optimized Machine Learning Models.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):397-405.
    : Driver drowsiness is a significant factor contributing to road accidents, resulting in severe injuries and fatalities. This study presents an optimized approach for detecting driver drowsiness using machine learning techniques. The proposed system utilizes real-time data to analyze driver behavior and physiological signals to identify signs of fatigue. Various machine learning algorithms, including Support Vector Machines (SVM), Convolutional Neural Networks (CNN), and Random Forest, are explored for their efficacy in detecting drowsiness. The system incorporates an optimization technique—such as Genetic (...)
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  18. IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain.Barry Smith, Tatiana Malyuta, Ron Rudnicki, William Mandrick, David Salmen, Peter Morosoff, Danielle K. Duff, James Schoening & Kesny Parent - 2013 - In Kathryn Blackmond Laskey, Ian Emmons & Paulo C. G. Costa (eds.), Proceedings of the Eighth International Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS), CEUR, vol. 1097. pp. 33-40.
    We describe on-going work on IAO-Intel, an information artifact ontology developed as part of a suite of ontologies designed to support the needs of the US Army intelligence community within the framework of the Distributed Common Ground System (DCGS-A). IAO-Intel provides a controlled, structured vocabulary for the consistent formulation of metadata about documents, images, emails and other carriers of information. It will provide a resource for uniform explication of the terms used in multiple existing military dictionaries, thesauri and metadata (...)
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  19. The Second Intelligible Triad and the Intelligible-Intellective Gods.Edward P. Butler - 2010 - Méthexis 23 (1):137-157.
    Continuing the systematic henadological interpretation of Proclus' Platonic Theology begun in "The Intelligible Gods in the Platonic Theology of Proclus" (Methexis 21, 2008, pp. 131-143), the present article treats of the basic characteristics of intelligible-intellective (or noetico-noeric) multiplicity and its roots in henadic individuality. Intelligible-intellective multiplicity (the hypostasis of Life) is at once a universal organization of Being in its own right, and also transitional between the polycentric henadic manifold, in which each individual is immediately productive of absolute Being, and (...)
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  20. (1 other version)The Third Intelligible Triad and the Intellective Gods.Edward P. Butler - 2012 - Méthexis. Rivista Internazionale di Filosofia Antica / International Journal for Ancient Philosophy 25:131-150.
    Completing the systematic henadological interpretation of Proclus' Platonic Theology begun in "The Intelligible Gods in the Platonic Theology of Proclus" (Méthexis 21, 2008, pp. 131-143) and "The Second Intelligible Triad and the Intelligible-Intellective Gods" (Methexis 23, 2010, pp. 137-157), the present article concerns the conditions of the emergence of fully mediated, diacritical multiplicity out of the polycentric henadic manifold. The product of the activity of the intellective Gods (that is, the product of the intellective activity of Gods as such), in (...)
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  21. Rights for Robots: Artificial Intelligence, Animal and Environmental Law.Joshua C. Gellers - 2020 - Abingdon: Routledge.
    Bringing a unique perspective to the burgeoning ethical and legal issues surrounding the presence of artificial intelligence in our daily lives, the book uses theory and practice on animal rights and the rights of nature to assess the status of robots. -/- Through extensive philosophical and legal analyses, the book explores how rights can be applied to nonhuman entities. This task is completed by developing a framework useful for determining the kinds of personhood for which a nonhuman entity might be (...)
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  22.  64
    Intelligent Phishing Content Detection System Using Genetic Ranking and Dynamic Weighting Techniques.P. Selvaprasanth - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):480-490.
    The Genetic Ranking Optimization Algorithm (GROA) is used to rank phishing content based on multiple features by optimizing the ranking system through iterative selection and weighting. Dynamic weighting further enhances the process by adjusting the weights of features based on their importance in real-time. This hybrid approach enables the model to learn from the data, improving classification over time.
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  23. What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research.Markus Langer, Daniel Oster, Timo Speith, Lena Kästner, Kevin Baum, Holger Hermanns, Eva Schmidt & Andreas Sesing - 2021 - Artificial Intelligence 296 (C):103473.
    Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, and demands regarding artificial systems (we call these “stakeholders' desiderata”) in a variety of contexts. However, the literature on XAI is vast, spreads out across multiple largely disconnected disciplines, and it often remains unclear how explainability approaches are supposed to achieve the goal of satisfying stakeholders' desiderata. This paper discusses the main classes of stakeholders calling for (...)
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  24. Philosophical foundations of intelligence collection and analysis: a defense of ontological realism.William Mandrick & Barry Smith - 2022 - Intelligence and National Security 38.
    There is a common misconception across the lntelligence Community (IC) to the effect that information trapped within multiple heterogeneous data silos can be semantically integrated by the sorts of meaning-blind statistical methods employed in much of artificial intelligence (Al) and natural language processlng (NLP). This leads to the misconception that incoming data can be analysed coherently by relying exclusively on the use of statistical algorithms and thus without any shared framework for classifying what the data are about. Unfortunately, such (...)
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  25. We Asked ChatGPT About the Co-Authorship of Artificial Intelligence in Scientific Papers.Ayşe Balat & İlhan Bahşi - 2023 - European Journal of Therapeutics 29 (3):e16-e19.
    Dear Colleagues, -/- A few weeks ago, we published an editorial discussion on whether artificial intelligence applications should be authors of academic articles [1]. We were delighted to receive more than one interesting reply letter to this editorial in a short time [2, 3]. We hope that opinions on this subject will continue to be submitted to our journal. -/- In this editorial, we wanted to publish the answers we received when we asked ChatGPT, one of the artificial intelligence applications, (...)
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  26.  52
    Convergence of Nanotechnology and Artificial Intelligence: Revolutionizing Healthcare and Beyond.Randa Elqassas, Hazem A. S. Alrakhawi, Mohammed M. Elsobeihi, Basel Habil, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research (IJAER) 8 (10):25-30.
    Abstract: The convergence of nanotechnology and artificial intelligence (AI) represents a transformative frontier in modern science, with the potential to revolutionize multiple industries, particularly healthcare. Nanotechnology enables the manipulation of matter at the atomic and molecular scale, while AI offers sophisticated data analysis, pattern recognition, and decision-making capabilities. This paper explores the synergies between these two fields, focusing on their impact on medical diagnostics, targeted drug delivery, and personalized treatments. By leveraging AI's predictive power and nanotechnology's precision, healthcare can (...)
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  27. Literature Review: What Artificial General Intelligence Safety Researchers Have Written About the Nature of Human Values.Alexey Turchin & David Denkenberger - manuscript
    Abstract: The field of artificial general intelligence (AGI) safety is quickly growing. However, the nature of human values, with which future AGI should be aligned, is underdefined. Different AGI safety researchers have suggested different theories about the nature of human values, but there are contradictions. This article presents an overview of what AGI safety researchers have written about the nature of human values, up to the beginning of 2019. 21 authors were overviewed, and some of them have several theories. A (...)
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  28. Learning from the Wisdom of The Prophets: Spiritual Intelligence of Hūd and Muḥammad in Ibn Arabi’s View.Andi Herawati - 2016 - Ulumuna 20 (2):395-420.
    The wisdom of the prophets in Ibn ‘Arabi’s Fuṣūṣ al-Hikam is deeply concerned with discovering how the prophets who are taken up in each chapter exemplify different facets of the deeper spiritual process of the divine-human relation. This article examines two particular fass and wisdom of Hūd and Muhammad. The wisdom of Hud represents knowledge through the feet” (ilm al-rijl), the knowledge that can only come through actually traveling through all the tests and lessons of the earthly human existence or (...)
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  29. Theological Foundations for Moral Artificial Intelligence.Mark Graves - 2022 - Journal of Moral Theology 11 (Special Issue 1):182-211.
    The expanding social role and continued development of artificial intelligence (AI) needs theological investigation of its anthropological and moral potential. A pragmatic theological anthropology adapted for AI can characterize moral AI as experiencing its natural, social, and moral world through interpretations of its external reality as well as its self-reckoning. Systems theory can further structure insights into an AI social self that conceptualizes itself within Ignacio Ellacuria’s historical reality and its moral norms through Thomistic ideogenesis. This enables a conceptualization process (...)
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  30.  58
    Digital Authentication for Wireless Domain Using Variable Marking of Multiple Secret Signatures and its Practical Implication in E-Stamp Authentication.Mohit Gangwar - 2024 - International Journal of Intelligent Systems and Applications in Engineering 12 (2):29-41.
    This work focuses on enhancing security for transmitted e-documents, such as e-stamp papers, within wireless environments through dynamic authentication using variable circular concealment of multiple invisible signature images. This method is driven by encrypted secret keys and session-based random numbers, alongside a region-specific bit casting strategy and dynamic bit sequencing for multiple signatures to bolster security and robustness. Multi-copy signature marking on non-overlapping document areas, coupled with varied bit encoding strategies for each modified pixel byte coefficient in cover (...)
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  31. Artificial consciousness: from impossibility to multiplicity.Chuanfei Chin - 2017 - In Vincent C. Müller (ed.), Philosophy and theory of artificial intelligence 2017. Berlin: Springer. pp. 3-18.
    How has multiplicity superseded impossibility in philosophical challenges to artificial consciousness? I assess a trajectory in recent debates on artificial consciousness, in which metaphysical and explanatory challenges to the possibility of building conscious machines lead to epistemological concerns about the multiplicity underlying ‘what it is like’ to be a conscious creature or be in a conscious state. First, I analyse earlier challenges which claim that phenomenal consciousness cannot arise, or cannot be built, in machines. These are based on Block’s Chinese (...)
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  32. AI Risk Assessment: A Scenario-Based, Proportional Methodology for the AI Act.Claudio Novelli, Federico Casolari, Antonino Rotolo, Mariarosaria Taddeo & Luciano Floridi - 2024 - Digital Society 3 (13):1-29.
    The EU Artificial Intelligence Act (AIA) defines four risk categories for AI systems: unacceptable, high, limited, and minimal. However, it lacks a clear methodology for the assessment of these risks in concrete situations. Risks are broadly categorized based on the application areas of AI systems and ambiguous risk factors. This paper suggests a methodology for assessing AI risk magnitudes, focusing on the construction of real-world risk scenarios. To this scope, we propose to integrate the AIA with a framework developed by (...)
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  33. La prevalencia de los neuromitos en la educación.Fabio Morandín-Ahuerma - 2022 - In _Neuroeducación como Herramienta Epistemológica_. Puebla, Pue., México: CONCYTEP. pp. 1-22.
    El objetivo de este capitulo es identificar los llamados neuromitos, creencias justificadas o no, sobre el cerebro y su funcionamiento que han prevalecido a lo largo de los años y que, en muchos casos, llega a distorsionar e incluso prejuzgar la visión de los docentes hacia con sus alumnos, por lo que se cometen errores en el proceso de enseñanza-aprendizaje. Aquí se analizan los argumentos que sostienen los neuromitos y los contraargumentos que la ciencia ofrece para desmentirlos.
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  34. On the Concept of Independent Nature.J. Michael Scoville - 2023 - Environmental Philosophy 20 (2):237-265.
    Multiple concepts of nature are at play in environmental theory and practice. One that has gripped several theorists is the idea of nature as referring to that which is independent of humans and human activity. This concept has been subject to forceful criticism, notably in the recent work of Steven Vogel. After clarifying problematic and promising ways of charac­terizing independent nature, I engage Vogel’s critique. While the critique is compelling in certain respects, I argue that it fails to appreciate (...)
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  35. (1 other version)Taking AI Risks Seriously: a New Assessment Model for the AI Act.Claudio Novelli, Casolari Federico, Antonino Rotolo, Mariarosaria Taddeo & Luciano Floridi - 2023 - AI and Society 38 (3):1-5.
    The EU proposal for the Artificial Intelligence Act (AIA) defines four risk categories: unacceptable, high, limited, and minimal. However, as these categories statically depend on broad fields of application of AI, the risk magnitude may be wrongly estimated, and the AIA may not be enforced effectively. This problem is particularly challenging when it comes to regulating general-purpose AI (GPAI), which has versatile and often unpredictable applications. Recent amendments to the compromise text, though introducing context-specific assessments, remain insufficient. To address this, (...)
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  36. Houston, Do We Have a Problem?C. A. McIntosh & Tyler Dalton McNabb - 2021 - Philosophia Christi 23 (1):101-124.
    Would the existence of extraterrestrial intelligent life conflict in any way with Christian belief? We identify six areas of potential conflict. If there be no conflict in any of these areas—and we argue ultimately there is not—we are confident in declaring that there is no conflict, period. This conclusion underwrites the integrity of theological explorations into the existence of ETI, which has become a topic of increasing interest among theologians in recent years.
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  37. Understanding Artificial Agency.Leonard Dung - forthcoming - Philosophical Quarterly.
    Which artificial intelligence (AI) systems are agents? To answer this question, I propose a multidimensional account of agency. According to this account, a system's agency profile is jointly determined by its level of goal-directedness and autonomy as well as is abilities for directly impacting the surrounding world, long-term planning and acting for reasons. Rooted in extant theories of agency, this account enables fine-grained, nuanced comparative characterizations of artificial agency. I show that this account has multiple important virtues and is (...)
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  38. L’intelligenza tra generalità, integrazione e controllo cognitivo.Davide Serpico - 2022 - Rivista Internazionale di Filosofia e Psicologia 13 (1):66-71.
    ITA: In che modo il nostro cervello è in grado di produrre quel tipo di comportamento flessibile e volto a specifici scopi che chiamiamo intelligenza? Le differenze cognitive tra individui sono dovute a una varietà di abilità mentali o a una sola? Questo articolo discute gli elementi centrali della teoria dell’intelligenza generale proposta da John Duncan nel volume How intelligence happens, tradotto recentemente in italiano e corredato da un capitolo conclusivo inedito. Prendendo le mosse dalla ricerca di Charles Spearman sull’intelligenza (...)
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  39. Domains of generality.Andrew Buskell & Marta Halina - 2017 - Behavioral and Brain Sciences 40.
    We argue that general intelligence, as presented in the target article, generates multiple distinct and non-equivalent characterisations. Clarifying this central concept is necessary for assessing Burkart et al.’s proposal that the cultural intelligence hypothesis is the best explanation for the evolution of general intelligence. We assess this claim by considering two characterisations of general intelligence presented in the article.
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  40. Droit de la robotique: Livre blanc.Alain Bensoussan & Renaud Champion - 2016 - SYMOP.
    Histoire et utilisation du robot Bien que la robotique soit un marché économique relativement jeune et en pleine croissance, la genèse des robots remonte à l’Antiquité. Le premier robot à être déployé sur des lignes d’assemblage est Unimate, utilisé dès 1961 par General Motors. La robotique, en se di usant dans tous les pans de notre économie, va impacter les business modèles de nombreuses industries comme l’automobile et l’aéronautique mais aussi la construction ou l’agriculture. Aujourd’hui les robots industriels et de (...)
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  41. Thinking Fast and Slow in AI: the Role of Metacognition.Marianna Bergamaschi Ganapini - manuscript
    Multiple Authors - please see paper attached. -/- AI systems have seen dramatic advancement in recent years, bringing many applications that pervade our everyday life. However, we are still mostly seeing instances of narrow AI: many of these recent developments are typically focused on a very limited set of competencies and goals, e.g., image interpretation, natural language processing, classification, prediction, and many others. We argue that a better study of the mechanisms that allow humans to have these capabilities can (...)
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  42. Procreative Beneficence and Genetic Enhancement.Walter Veit - 2018 - Kriterion - Journal of Philosophy 32 (1):75-92.
    Imagine a world where everyone is healthy, intelligent, long living and happy. Intuitively this seems wonderful albeit unrealistic. However, recent scienti c breakthroughs in genetic engineering, namely CRISPR/Cas bring the question into public discourse, how the genetic enhancement of humans should be evaluated morally. In 2001, when preimplantation genetic diagnosis (PGD) and in vitro fertilisation (IVF), enabled parents to select between multiple embryos, Julian Savulescu introduced the principle of procreative bene cence (PPB), stating that parents have the obligations to (...)
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  43. An Introduction to Artificial Psychology Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R.Farahani Hojjatollah - 2023 - Springer Cham. Edited by Hojjatollah Farahani, Marija Blagojević, Parviz Azadfallah, Peter Watson, Forough Esrafilian & Sara Saljoughi.
    Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approaches have deep rooted limitations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by simplifying the models being studied. This stance has not received much practical attention recently. Promoting and improving artificial intelligence helps mind researchers (...)
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  44. Grace de Laguna’s Analytic and Speculative Philosophy.Joel Katzav - 2022 - Australasian Philosophical Review 6 (1):6-25.
    This paper introduces the philosophy of Grace Andrus de Laguna in order to renew interest in it. I show that, in the 1910s and 1920s, she develops ideas and arguments that are also found playing key roles in the development of analytic philosophy decades later. Further, I describe her sympathetic, but acute, criticism of pragmatism and Heideggerian ontology, and situate her work in the tradition of American, speculative philosophy. Before 1920, we will see, de Laguna appeals to multiple realizability (...)
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  45. (1 other version)Kierkegaard on Truth: One or Many?Daniel Watts - 2016 - Mind:fzw010.
    This paper reexamines Kierkegaard's work with respect to the question whether truth is one or many. I argue that his famous distinction between objective and subjective truth is grounded in a unitary conception of truth as such: truth as self-coincidence. By explaining his use in this context of the term ‘redoubling’ [Fordoblelse], I show how Kierkegaard can intelligibly maintain that truth is neither one nor many, neither a simple unity nor a complex multiplicity. I further show how these points shed (...)
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  46. 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 of (...)
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  47. Mad Speculation and Absolute Inhumanism: Lovecraft, Ligotti, and the Weirding of Philosophy.Ben Woodard - 2011 - Continent 1 (1):3-13.
    continent. 1.1 : 3-13. / 0/ – Introduction I want to propose, as a trajectory into the philosophically weird, an absurd theoretical claim and pursue it, or perhaps more accurately, construct it as I point to it, collecting the ground work behind me like the Perpetual Train from China Mieville's Iron Council which puts down track as it moves reclaiming it along the way. The strange trajectory is the following: Kant's critical philosophy and much of continental philosophy which has followed, (...)
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  48. Universal Core Semantic Layer.Barry Smith, Lowell Vizenor & James Schoening - 2009 - In Barry Smith, Lowell Vizenor & James Schoening (eds.), Universal Core Semantic Layer. CEUR, vol. 555. pp. 1-5.
    The Universal Core (UCore) is a central element of the National Information Sharing Strategy that is supported by multiple U.S. Federal Government Departments, by the intelligence community, and by a number of other national and international institutions. The goal of the UCore initiative is to foster information sharing by means of an XML schema providing consensus representations for four groups of universally understood terms under the headings who, what, when, and where. We here describe a project to create an (...)
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  49. “Democratizing AI” and the Concern of Algorithmic Injustice.Ting-an Lin - 2024 - Philosophy and Technology 37 (3):1-27.
    The call to make artificial intelligence (AI) more democratic, or to “democratize AI,” is sometimes framed as a promising response for mitigating algorithmic injustice or making AI more aligned with social justice. However, the notion of “democratizing AI” is elusive, as the phrase has been associated with multiple meanings and practices, and the extent to which it may help mitigate algorithmic injustice is still underexplored. In this paper, based on a socio-technical understanding of algorithmic injustice, I examine three notable (...)
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  50. CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis.Oliver He, John Beverley, Gilbert S. Omenn, Barry Smith, Brian Athey, Luonan Chen, Xiaolin Yang, Junguk Hur, Hsin-hui Huang, Anthony Huffman, Yingtong Liu, Yang Wang, Edison Ong & Hong Yu - 2020 - Scientific Data 181 (7):5.
    Ontologies, as the term is used in informatics, are structured vocabularies comprised of human- and computer-interpretable terms and relations that represent entities and relationships. Within informatics fields, ontologies play an important role in knowledge and data standardization, representation, integra- tion, sharing and analysis. They have also become a foundation of artificial intelligence (AI) research. In what follows, we outline the Coronavirus Infectious Disease Ontology (CIDO), which covers multiple areas in the domain of coronavirus diseases, including etiology, transmission, epidemiology, pathogenesis, (...)
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