Results for 'Earth-Scale Intelligence'

971 found
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  1.  13
    Global Evolution and Prospects Human Intelligence.V. Shapoval - 2021 - Philosophical Horizons 45:42-49.
    There are two opposing equally well-argued views on the emergence and development of all things: either the evolution of the world that led to the emergence of life and intelligence is something natural, or everything happened quite by accident and could have been different. It determines the aim and the tasks which are the emergence of intelligence can be considered as a certain stage of such a naturally unfolding evolutionary process, or it is the result of a coincidence. (...)
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  2.  16
    Earth-O-Meter: Color Studies Ochre.Elpitha Tsoutsounakis - 2023 - Substance 52 (3):109-112.
    In lieu of an abstract, here is a brief excerpt of the content:Earth-O-Meter: Color Studies OchreElpitha Tsoutsounakis (bio)Ochre is always in a state of becoming—becoming color, becoming blood. Ancient, stellar death becoming current, terrestrial life; geological making. Design becomes epistemic tool beyond aesthetic representation.I join a body of academic and community scholars around the globe who think with Ochre from a variety of disciplines. How have we evolved through and with Ochre? What future does Ochre bring as art or (...)
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  3.  16
    Novacene: the coming age of hyperintelligence.James Lovelock - 2019 - [London]: Allen Lane, an imprint of Penguin Books. Edited by Bryan Appleyard.
    James Lovelock, creator of the Gaia hypothesis and the greatest environmental thinker of our time, has produced an astounding new theory about future of life on Earth. He argues that the anthropocene the age in which humans acquired planetary-scale technologies - is, after 300 years, coming to an end. A new age, the novacene has already begun. New beings will emerge from existing artificial intelligence systems. They will think 10,000 times faster than we do and they will (...)
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  4. Differences in epistemic practices among scientists, young earth creationists, intelligent design creationists, and the scientist-creationists of Darwin's era.Clark A. Chinn & Luke A. Buckland - 2011 - In Roger S. Taylor & Michel Ferrari, Epistemology and Science Education: Understanding the Evolution Vs. Intelligent Design Controversy. Routledge. pp. 38--76.
  5. The Meaning of Life in a Developing Universe.John E. Stewart - 2010 - Foundations of Science 15 (4):395-409.
    The evolution of life on Earth has produced an organism that is beginning to model and understand its own evolution and the possible future evolution of life in the universe. These models and associated evidence show that evolution on Earth has a trajectory. The scale over which living processes are organized cooperatively has increased progressively, as has its evolvability. Recent theoretical advances raise the possibility that this trajectory is itself part of a wider developmental process. According to (...)
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  6.  69
    Was there collective intelligence before life on earth? Considerations on the formal foundations of intelligence, life, and evolution.Tadeusz Szuba - 2002 - World Futures 58 (1):61 – 80.
    Collective Intelligence (CI) can be formalized as a specific1 computational process through the use of a molecular model of computations and mathematical logic, in terms of interacting information_molecules, which are chaotically or quasi-chaotically displacing and running natural-based inference processes in their own environment. The formal definition of Collective Intelligence as a property of a social structure of beings of any nature is surprisingly short and abstract (which is astonishing) from definitions of Life. The formal definition of Collective (...) proposed by the author in the last few years seems to be valid for the whole spectrum of beings, in human social structures to ants in colonies, and even for bacterial colonies. It has recently been found that the CI definition also has an engineering value. The theory of CI can also be used to better understand Evolution because it allows us to locate and relate Life and Intelligence in Evolution. Moreover, this approach presents Evolution as something more complex than can be concluded from Darwinism. Probably the most surprising fact is that a simple extrapolation of the definition of Collective Intelligence brings us to the conclusion that most probably the first elementary Collective Intelligence emerged on Earth in the "chemical soup of primeval molecules," much before Life emerged. Collective Intelligence can be defined with fewer and weaker conditions than Life requires. Perhaps the emergence of that early elementary Collective Intelligence provided the basic momentum to build Life as we now know it. Thus Evolution caused Intelligence to create Life. Our hypothesis is consistent with biochemistry theories that "primeval biochemical molecules" started to interact, "firing" the Collective Intelligence of their "elementary chemical social structure" for survival. This successful action boosted further growth of complexity in that "elementary social structure," which finally resulted in the emergence of "well-defined Life." Furthermore, it provided a self-propagating cycle of growth of individual and collective Intelligence and individual and collective Life. The Collective Intelligence of ants, wolves, humans, and so forth today is only a higher level of Collective Intelligence development. Thus the present Evolution is a computational process of unidentified complexity where Life, Intelligence, and perhaps other as yet undiscovered components play temporary roles. In this paper we provide formalization and a proposed partial proof for this hypothesis. (shrink)
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  7.  37
    From Earth to the Universe: Life, Intelligence, and Evolution.Linda Billings - 2018 - Biological Theory 13 (2):93-102.
    While the scientific discourse on astrobiology—the study of the origin, evolution, and distribution of life in the universe—leans toward optimism about the possibility of extraterrestrial life, optimistic thinking is tempered by the limits of evidence and observations gathered thus far. Most astrobiologists assume that “first contact” with extraterrestrial life, if it is ever to occur, will likely be the discovery of microbial life elsewhere in our solar system. But in popular culture, “first contact” tends to be characterized as contact with (...)
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  8.  28
    (1 other version)Intelligence tests of blind subjects with the modified bridges point scale.W. E. Black - 1928 - Australasian Journal of Philosophy 6 (1):64 – 66.
  9.  36
    Cybernetics, design and regenerative economics.Skyler Perkins & Anika Jessup - 2021 - Technoetic Arts 19 (1):123-137.
    With unbridled exponential economic growth, earth systems and social systems are headed for catastrophic meltdown. Meanwhile, much of humanity is highly dependent on current institutions. Second-order cybernetics can help society come to grips with the enormous demand of adapting existing institutions for a regenerative economy. While the current trajectory of increasing consumption and rapid ecological decay will lead to collapse, the progress achieved by civilization can be vindicated by large-scale investment in regenerating natural capital assets, developing open-source technologies (...)
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  10. Objects as Temporary Autonomous Zones.Tim Morton - 2011 - Continent 1 (3):149-155.
    continent. 1.3 (2011): 149-155. The world is teeming. Anything can happen. John Cage, “Silence” 1 Autonomy means that although something is part of something else, or related to it in some way, it has its own “law” or “tendency” (Greek, nomos ). In their book on life sciences, Medawar and Medawar state, “Organs and tissues…are composed of cells which…have a high measure of autonomy.”2 Autonomy also has ethical and political valences. De Grazia writes, “In Kant's enormously influential moral philosophy, autonomy (...)
     
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  11.  14
    The Greatest Human Right.V. Razmerov - 1979 - Russian Studies in Philosophy 17 (4):3-20.
    Our time is one of revolutionary changes enormous in scale and pace, both in the social sphere and in that of science and technology, as a consequence of which the main problems of human existence are being posed in a fundamentally new manner. The problem of war and peace holds highest priority among these problems of vital importance. Now it is not only the prospects for progressive human development that depend upon the manner in which the problem of war (...)
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  12. Intelligent design.William Hasker - 2009 - Philosophy Compass 4 (3):586-597.
    The intelligent design movement aspires to create a new scientific paradigm which will replace the existing Darwinian paradigm of evolution by random mutation and natural selection. However, the creation of such a paradigm is hampered by the fact that the movement pursues a 'big tent' strategy that refuses to make a choice between young-earth creationism, old-earth (progressive) creationism, and divinely directed natural selection. The latter two options are discussed in some detail, and it becomes apparent that either one (...)
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  13.  65
    Combining Associations Between Emotional Intelligence, Work Motivation, and Organizational Justice With Counterproductive Work Behavior: A Profile Analysis via Multidimensional Scaling (PAMS) Approach.Aharon Tziner, Erich C. Fein, Se-Kang Kim, Cristinel Vasiliu & Or Shkoler - 2020 - Frontiers in Psychology 11.
    The need for better incorporation of the construct emotional intelligence (EI) into counterproductive work behavior (CWB) research may be achieved via a unified conceptual framework. Accordingly, the purpose of this paper is to use the Profile Analysis via Multidimensional Scaling (PAMS) approach, a conceptual framework that unifies motivational process with antecedents and outcomes, to assess differences in EI concerning a variety of constructs: organizational justice, CWB, emotional exhaustion, job satisfaction, and intrinsic motivation. Employing established scales within a framework unifying (...)
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  14.  58
    Neurochemical models of near-death experiences: A large-scale study based on the semantic similarity of written reports.Charlotte Martial, Héléna Cassol, Vanessa Charland-Verville, Carla Pallavicini, Camila Sanz, Federico Zamberlan, Rocío Martínez Vivot, Fire Erowid, Earth Erowid, Steven Laureys, Bruce Greyson & Enzo Tagliazucchi - 2019 - Consciousness and Cognition 69:52-69.
  15. Concern Across Scales: a biologically inspired embodied artificial intelligence.Matthew Sims - 2022 - Frontiers in Neurorobotics 1 (Bio A.I. - From Embodied Cogniti).
    Intelligence in current AI research is measured according to designer-assigned tasks that lack any relevance for an agent itself. As such, tasks and their evaluation reveal a lot more about our intelligence than the possible intelligence of agents that we design and evaluate. As a possible first step in remedying this, this article introduces the notion of “self-concern,” a property of a complex system that describes its tendency to bring about states that are compatible with its continued (...)
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  16.  17
    Behaviorist intelligence and the scaling problem.John K. Tsotsos - 1995 - Artificial Intelligence 75 (2):135-160.
  17.  16
    Between Earth and World: Heidegger on Turrell, Nature, and Aesthetic Intelligibility.Ana Bilbao & Pavel Reichl - unknown
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  18.  86
    Artificial intelligence ELSI score for science and technology: a comparison between Japan and the US.Tilman Hartwig, Yuko Ikkatai, Naohiro Takanashi & Hiromi M. Yokoyama - 2023 - AI and Society 38 (4):1609-1626.
    Artificial intelligence (AI) has become indispensable in our lives. The development of a quantitative scale for AI ethics is necessary for a better understanding of public attitudes toward AI research ethics and to advance the discussion on using AI within society. For this study, we developed an AI ethics scale based on AI-specific scenarios. We investigated public attitudes toward AI ethics in Japan and the US using online questionnaires. We designed a test set using four dilemma scenarios (...)
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  19. Artificial Intelligence: Arguments for Catastrophic Risk.Adam Bales, William D'Alessandro & Cameron Domenico Kirk-Giannini - 2024 - Philosophy Compass 19 (2):e12964.
    Recent progress in artificial intelligence (AI) has drawn attention to the technology’s transformative potential, including what some see as its prospects for causing large-scale harm. We review two influential arguments purporting to show how AI could pose catastrophic risks. The first argument — the Problem of Power-Seeking — claims that, under certain assumptions, advanced AI systems are likely to engage in dangerous power-seeking behavior in pursuit of their goals. We review reasons for thinking that AI systems might seek (...)
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  20. Life as emergent agential systems: Tendencies without teleology in an open universe.Steven L. Peck - 2013 - Zygon 48 (4):984-1000.
    Life is a relationship among various kinds of agents interacting at different scales in ways that are multifarious, complex, and emergent. Life is always a part of an ecological embedding in communities of interaction, which in turn structure and influence how life evolves. Evolution is essential for understanding life and biodiversity. Henri Bergson's Creative Evolution suggests a way of examining “tendencies” without “teleology.” In this paper I reexamine that work in light of recent concepts in evolutionary ecology, and explore how (...)
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  21.  36
    Could Intelligent Computers Postulate Their Own Evolution Theory Which Would Be More Plausible than that of the Humans?Abd Al-Roof Higazi - 2018 - Open Journal of Philosophy 8 (1):23-27.
    How did life come into existence on Earth? Although many scientific theories and hypotheses have been drawn, we have not yet been able to provide a detailed answer to this fundamental question. What if intelligent computers would someday be in a condition to postulate their own evolution theory which would explain how they came into the world, how would this theory look like? And how would it stand in comparison to the humans’ theory? Let us suppose that a thousand (...)
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  22.  8
    Intelligence not Knowledge is Primordial.Agusti Cullell J. - 2024 - Philosophy International Journal 7 (3):1-14.
    The development of a free, creative, and wise collective intelligence that is harmonious in its functional, axiological, and liberating dimensions has never received the priority, attention, and means required as the interactive agent it is, which constitutes human life by creating the cultures in which we live. Rather than prioritizing the development of our innate intelligence, our true power, we have sought security and well-being in submitting to supernatural powers and in the production, possession, and accumulation of goods, (...)
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  23. Information, Intelligence and Idealism.Martin Korth - manuscript
    Why are computers so smart these days? And why are humans apparently still a bit smarter? Does this have something to do with the difference between data and meaning? Does this in turn mean that at least some abstract entities, such as numbers, exist independently of human thought? Wouldn’t that require an expansion of our scientific world view? And would that at all be compatible with what we know about our world from physics and chemistry, philosophy, psychology, neuroscience and the (...)
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  24. Artificial intelligence in support of the circular economy: ethical considerations and a path forward.Huw Roberts, Joyce Zhang, Ben Bariach, Josh Cowls, Ben Gilburt, Prathm Juneja, Andreas Tsamados, Marta Ziosi, Mariarosaria Taddeo & Luciano Floridi - forthcoming - AI and Society:1-14.
    The world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a circular economy (CE) model of development has been proposed as a sustainable alternative. Artificial intelligence (AI) is a crucial enabler for CE. It can aid in designing robust and sustainable products, facilitate new circular business models, and support the broader infrastructures needed to scale circularity. However, to date, considerations of the ethical (...)
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  25.  31
    An Ecological Intelligence Scale Intended for Adults.Emel Okur-Berberoglu - 2020 - World Futures 76 (3):133-152.
    Ecological intelligence refers to systemic thinking, ecophilosophy, holistic perspective, collective lifestyle and cultural commons. It is difficult to determine the exact nature of EI and its...
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  26. (4 other versions)Intelligent design: The bridge between science and theology.William A. Dembski - 2002
    Intelligent design begins with a seemingly innocuous question: Can objects, even if nothing is known about how they arose, exhibit features that reliably signal the action of an intelligent cause? To see what’s at stake, consider Mount Rushmore. The evidence for Mount Rushmore’s design is direct—eyewitnesses saw the sculptor Gutzon Borglum spend the better part of his life designing and building this structure. But what if there were no direct evidence for Mount Rushmore’s design? What if humans went extinct and (...)
     
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  27. Legal Personhood for Artificial Intelligence: Citizenship as the Exception to the Rule.Tyler L. Jaynes - 2020 - AI and Society 35 (2):343-354.
    The concept of artificial intelligence is not new nor is the notion that it should be granted legal protections given its influence on human activity. What is new, on a relative scale, is the notion that artificial intelligence can possess citizenship—a concept reserved only for humans, as it presupposes the idea of possessing civil duties and protections. Where there are several decades’ worth of writing on the concept of the legal status of computational artificial artefacts in the (...)
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  28.  15
    The development of the Chinese version of the Sports Emotional Intelligence Scale.Jia Zhang, Donghuan Bai, Long Qin & Pengwei Song - 2022 - Frontiers in Psychology 13.
    ObjectiveTo revise and test the Chinese version of the Sports Emotional Intelligence Scale in sports situations.Materials and methodsAfter pretesting 112 college students, 832 college students were formally tested, and item analysis, validity test, internal consistency reliability analysis, and calibration validity and equivalence test of the Chinese version of the SEIS were performed. The Chinese version of the SEIS had 14 items with four dimensions, with a cumulative variance contribution of 57.812 percent; the four-factor measurement model fit well. The (...)
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  29.  72
    Artificial Intelligence, Automation, and Social Welfare: Some Ethical and Historical Perspectives on Technological Overstatement and Hyperbole.Jo Ann Oravec - 2019 - Ethics and Social Welfare 13 (1):18-32.
    The potential societal impacts of automation using intelligent control and communications technologies have emerged as topics in a number of recent writings and public policy initiatives. Many of these expressions have referenced the writings and research efforts of Herbert Simon (1961), Norbert Wiener (1948), and contemporaries from their early technological and social vantage points concerning the future of technology and society. Constructed entities labeled as “thinking machines” (such as IBM’s Watson as well as intelligent chatbot and robotic systems) have also (...)
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  30.  27
    (1 other version)Anxiety and Emotional Intelligence: Comparisons Between Combat Sports, Gender and Levels Using the Trait Meta-Mood Scale and the Inventory of Situations and Anxiety Response.María Merino Fernández, Ciro José Brito, Bianca Miarka & Alfonso Lopéz Díaz-de-Durana - 2020 - Frontiers in Psychology 11.
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  31.  82
    True Collective Intelligence? A Sketch of a Possible New Field.Geoff Mulgan - 2014 - Philosophy and Technology 27 (1):133-142.
    Collective intelligence is much talked about but remains very underdeveloped as a field. There are small pockets in computer science and psychology and fragments in other fields, ranging from economics to biology. New networks and social media also provide a rich source of emerging evidence. However, there are surprisingly few useable theories, and many of the fashionable claims have not stood up to scrutiny. The field of analysis should be how intelligence is organised at large scale—in organisations, (...)
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  32.  62
    Artificial intelligence assistants and risk: framing a connectivity risk narrative.Martin Cunneen, Martin Mullins & Finbarr Murphy - 2020 - AI and Society 35 (3):625-634.
    Our social relations are changing, we are now not just talking to each other, but we are now also talking to artificial intelligence (AI) assistants. We claim AI assistants present a new form of digital connectivity risk and a key aspect of this risk phenomenon is related to user risk awareness (or lack of) regarding AI assistant functionality. AI assistants present a significant societal risk phenomenon amplified by the global scale of the products and the increasing use in (...)
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  33.  42
    The shift of Artificial Intelligence research from academia to industry: implications and possible future directions.Miguel Angelo de Abreu de Sousa - forthcoming - AI and Society:1-10.
    The movement of Artificial Intelligence (AI) research from universities to big corporations has had a significant impact on the development of the field. In the past, AI research was primarily conducted in academic institutions, which foster a culture of peer reviewing and collaboration to enhance quality improvements. The growing interest in AI among corporations, especially regarding Machine Learning (ML) technology, has shifted the focus of research from quality to quantity. Corporations have the resources to invest in large-scale ML (...)
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  34.  34
    Emotional Intelligence and Personality Traits Based on Academic Performance.Xin Dong, Olga A. Kalugina, Dinara G. Vasbieva & Arslan Rafi - 2022 - Frontiers in Psychology 13:894570.
    The purpose of this study was to examine the role of personality traits on academic performance. Furthermore, this study also aims at exploring the effects of virtual experience (mediator) and emotional intelligence (moderator) between personality traits and academic performance of the students. The findings imply that personality traits are the strong predictors of better academic performance. However, several personality traits do not have a positive impact on the academic performance. The study further suggests that students who have emotional abilities (...)
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  35. The Intelligibility of Human Nature in the Philosophy of R. G. Collingwood.Michael J. O'neill - 2004 - Dissertation, The Catholic University of America
    The primary aim of this dissertation is an exegesis of Collingwood's historical science of mind. I take seriously Collingwood's claim that history is for "self-understanding" and treat his philosophy of history as a form of reflective philosophy. In particular, I examine the epistemological basis for Collingwood's claim that mind is an object that changes as it understands itself. ;In Chapter One, I consider the distinction between natural process and historical process as central to an understanding of Collingwood's historical science of (...)
     
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  36.  24
    Intelligent Computation Offloading for IoT Applications in Scalable Edge Computing Using Artificial Bee Colony Optimization.Mohammad Babar, Muhammad Sohail Khan, Ahmad Din, Farman Ali, Usman Habib & Kyung Sup Kwak - 2021 - Complexity 2021:1-12.
    Most of the IoT-based smart systems require low latency and crisp response time for their applications. Achieving the demand of this high Quality of Service becomes quite challenging when computationally intensive tasks are offloaded to the cloud for execution. Edge computing therein plays an important role by introducing low network latency, quick response, and high bandwidth. However, offloading computations at a large scale overwhelms the edge server with many requests and the scalability issue originates. To address the above issues, (...)
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  37.  34
    The system of autono‑mobility: computer vision and urban complexity—reflections on artificial intelligence at urban scale.Fabio Iapaolo - 2023 - AI and Society 38 (3):1111-1122.
    Focused on city-scale automation, and using self-driving cars (SDCs) as a case study, this article reflects on the role of AI—and in particular, computer vision systems used for mapping and navigation—as a catalyst for urban transformation. Urban research commonly presents AI and cities as having a one-way cause-and-effect relationship, giving undue weight to AI’s impact on cities and overlooking the role of cities in shaping AI. Working at the intersection of data science and social research, this paper aims to (...)
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  38.  42
    A user-centered approach to developing an AI system analyzing U.S. federal court data.Rachel F. Adler, Andrew Paley, Andong L. Li Zhao, Harper Pack, Sergio Servantez, Adam R. Pah, Kristian Hammond & Scales Okn Consortium - 2023 - Artificial Intelligence and Law 31 (3):547-570.
    We implemented a user-centered approach to the design of an artificial intelligence (AI) system that provides users with access to information about the workings of the United States federal court system regardless of their technical background. Presently, most of the records associated with the federal judiciary are provided through a federal system that does not support exploration aimed at discovering systematic patterns about court activities. In addition, many users lack the data analytical skills necessary to conduct their own analyses (...)
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  39.  92
    Alternative Essences of Intelligence.Rodney A. Brooks - unknown
    We present a novel methodology for building humanlike artificially intelligent systems. We take as a model the only existing systems which are universally accepted as intelligent: humans. We emphasize building intelligent systems which are not masters of a single domain, but, like humans, are adept at performing a variety of complex tasks in the real world. Using evidence from cognitive science and neuroscience, we suggest four alternative essences of intelligence to those held by classical AI. These are the parallel (...)
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  40.  23
    Team Emotional Intelligence in Working Contexts: Development and Validation of the Team-Trait Meta Mood Scale.Aitor Aritzeta, Rosa Mindeguia, Goretti Soroa, Nekane Balluerka, Arantxa Gorostiaga, Unai Elorza & Jone Aliri - 2020 - Frontiers in Psychology 11.
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  41.  14
    Teacher’s Emotional Intelligence and Employee Brand-Based Equity: Mediating Role of Teaching Performance and Teacher’s Self-Efficacy.Qiaoqiao Lu & Nor Asniza Ishak - 2022 - Frontiers in Psychology 13.
    Educational institutions need to respond to global competitive problems, and branding has become a method for higher education institutions to differentiate themselves. Thus, this study attempted to investigate predictors of employee brand-based equity. A cross-sectional research design has been used to record the perception of the teachers, and data are collected using a convenience sampling technique. Before administrating the study on large scale, a pilot testing was conducted, and reliability of the scale and their items was ensured. Pilot (...)
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  42.  73
    Prospects for human level intelligence for humanoid robots.Rodney A. Brooks - unknown
    Both direct, and evolved, behavior-based approaches to mobile robots have yielded a number of interesting demonstrations of robots that navigate, map, plan and operate in the real world. The work can best be described as attempts to emulate insect level locomotion and navigation, with very little work on behavior-based non-trivial manipulation of the world. There have been some behavior-based attempts at exploring social interactions, but these too have been modeled after the sorts of social interactions we see in insects. But (...)
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  43.  22
    Do Psychological Resilience and Emotional Intelligence Vary Among Stress Profiles in University Students? A Latent Profile Analysis.Büşra Kökçam, Coşkun Arslan & Zeliha Traş - 2022 - Frontiers in Psychology 12:788506.
    The coronavirus/COVID-19 pandemic has brought about significant changes in the lifestyle of students. However, despite an extensive study of students’ life stress using a non-comprehensive scale and variable-centered approach, it has been little studied with a comprehensive scale and person-centered approach. Using the Student-Life Stress Inventory-revised (SSI-R), we analyzed students’ latent stress profiles and examined differences in psychological resilience and emotional intelligence by comparing stress profiles from a sample of 418 undergraduate and graduate students (aged 18–36) in (...)
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  44.  1
    Bridging perspectives on artificial intelligence: a comparative analysis of hopes and concerns in developed and developing countries.Amirmahdi Mohammadi & Mehrdad Maghsoudi - forthcoming - AI and Society:1-22.
    Artificial intelligence (AI) is transforming industries, generating both enthusiasm and concern. While AI-driven innovations enhance productivity, healthcare, and education, significant ethical issues persist, including misinformation, algorithmic bias, and job displacement. This study examines public perceptions of AI by analyzing large-scale social media discourse and integrating sentiment analysis with expert insights via the Delphi method to assess global perspectives. Findings reveal notable differences across socio-economic contexts. In high-income countries, discussions emphasize AI ethics, governance, and automation risks, whereas in low-income (...)
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  45.  22
    The Cultural Intelligence Scale : A Contribution to the Italian Validation.Caterina Gozzoli & Diletta Gazzaroli - 2018 - Frontiers in Psychology 9.
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  46.  20
    Emotional Intelligence of Undergraduate Athletes: The Role of Sports Experience.Gabriel Rodriguez-Romo, Cecilia Blanco-Garcia, Ignacio Diez-Vega & Jorge Acebes-Sánchez - 2021 - Frontiers in Psychology 12:609154.
    Sport is an emotional experience. Studies have shown that high emotional intelligence (EI) is associated with better sports performance, though different aspects of sports experience and their relationship with EI are still unclear. This study examined the possible relationships between sports experience and EI dimensions of undergraduate athletes. Likewise, according to the differences described in the literature between men and women, the secondary aim was to identify the possible relationship between EI and sports experience in both subgroups. A total (...)
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  47.  18
    Crowd-Sourced Intelligence Agency: Prototyping counterveillance.Derek Curry & Jennifer Gradecki - 2017 - Big Data and Society 4 (1).
    This paper discusses how an interactive artwork, the Crowd-Sourced Intelligence Agency, can contribute to discussions of Big Data intelligence analytics. The CSIA is a publicly accessible Open Source Intelligence system that was constructed using information gathered from technical manuals, research reports, academic papers, leaked documents, and Freedom of Information Act files. Using a visceral heuristic, the CSIA demonstrates how the statistical correlations made by automated classification systems are different from human judgment and can produce false-positives, as well (...)
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  48.  42
    Structure of the Wechsler Intelligence Scale for Children – Fourth Edition in a Group of Children with ADHD.Rapson Gomez, Alasdair Vance & Shaun D. Watson - 2016 - Frontiers in Psychology 7.
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  49.  85
    Intelligence, Artificial and Otherwise.Paul Dumouchel - 2019 - Forum Philosophicum: International Journal for Philosophy 24 (2):241-258.
    The idea of artificial intelligence implies the existence of a form of intelligence that is “natural,” or at least not artificial. The problem is that intelligence, whether “natural” or “artificial,” is not well defined: it is hard to say what, exactly, is or constitutes intelligence. This difficulty makes it impossible to measure human intelligence against artificial intelligence on a unique scale. It does not, however, prevent us from comparing them; rather, it changes the (...)
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  50. Artificial intelligence and society: a furtive transformation. [REVIEW]Frederick Kile - 2013 - AI and Society 28 (1):107-115.
    During the 1950s, there was a burst of enthusiasm about whether artificial intelligence might surpass human intelligence. Since then, technology has changed society so dramatically that the focus of study has shifted toward society’s ability to adapt to technological change. Technology and rapid communications weaken the capacity of society to integrate into the broader social structure those people who have had little or no access to education. (Most of the recent use of communications by the excluded has been (...)
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