Results for 'simulated societies'

988 found
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  1.  8
    People's Preferences for Inequality Respond Instantly to Changes in Status: A Simulated Society Experiment of Conflict Between the Rich and the Poor.Heidi A. Vuletich, Kurt Gray & B. Keith Payne - 2023 - Cognitive Science 47 (6):e13306.
    Most people in the United States agree they want some income inequality but debate exactly how much is fair. High‐status people generally prefer more inequality than low‐status individuals. Here we examine how much preferences for inequality are (or are not) driven by self‐interest. Past work has generally investigated this idea in two ways: The first is by stratifying preferences by income, and the second is by randomly assigning financial status within lab‐constructed scenarios. In this paper, we develop a method that (...)
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  2.  20
    Educational simulation: teaching tool for Science, Technology and Society Education in the discipline of Philosophy and Society.Graciela López-Chávez Martínez & Chávez Hernández - 2013 - Humanidades Médicas 13 (2):480-497.
    El perfeccionamiento de la disciplina Filosofía y Sociedad en la Educación Superior es una de la exigencias en los Lineamientos al VI Congreso del Partido Comunista de Cuba lo cual contribuye a la preparación de un profesional a la altura de los cambios científico tecnológicos que actualmente despliega la Educación Médica Superior cubana. Para el logro de este propósito se aplicó la simulación educativa como herramienta didáctica avanzada en temas de Ciencia Tecnología y Sociedad en la disciplina Filosofía y Sociedad, (...)
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  3. Simulation and Dissimulation. Mandeville’s Satirical View of Commercial Society.Joaquim Braga - 2015 - In Edmundo Balsemão Pires & Joaquim Braga (eds.), Bernard de Mandeville's Tropology of Paradoxes: Morals, Politics, Economics, and Therapy. Berlin/New York: Springer International Publishing.
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  4. Can the society be simulated as plasma fluid?Mohammed Sanduk - unknown
    Both society and plasma (ionized gas) fluid are composed of active, interactive, and free, in-dividuals. These individuals response to any internal and external effects (fields for plasma), and exhibit collective behaviour. According to this structure, there are a wide range of similar-ities between the plasma fluid and the society. The nature of fluidity of plasma arises from the interaction of its free interactive charges, so the society may behave as a fluid owing to the free interactive individuals (persons). This fluid (...)
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  5.  7
    Overlapping consensus in pluralist societies: simulating Rawlsian full reflective equilibrium.Richard Lohse - 2023 - Synthese 203 (1):1-26.
    The fact of reasonable pluralism in liberal democracies threatens the stability of such societies. John Rawls proposed a solution to this problem: The different comprehensive moral doctrines endorsed by the citizens overlap on a shared political conception of justice, e.g. his justice as fairness. Optimally, accepting the political conception is for each citizen individually justified by the method of wide reflective equilibrium. If this holds, society is in full reflective equilibrium. Rawls does not in detail investigate the conditions under (...)
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  6.  21
    An agent-based simulation for restricting exploitation in electronic societies through social mechanisms.Sharmila Savarimuthu, Maryam Purvis, Martin Purvis & Bastin Tony Roy Savarimuthu - 2015 - AI and Society 30 (3):345-358.
  7.  25
    Simulations.Jean Baudrillard - 1983 - Semiotext(E).
    Baudrillard's bewildering thesis, a bold extrapolation on Ferdinand de Saussure's general theory of general linguistics, is in fact a clinical vision of contemporary consumer societies where signs don't refer anymore to anything except themselves. They all are generated by the matrix. Simulations never existed as a book before it was "translated" into English. Actually it came from two different bookCovers written at different times by Jean Baudrillard. The first part of Simulations, and most provocative because it made a fiction (...)
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  8.  71
    Simulating rational social normative trust, predictive trust, and predictive reliance between agents.Maj Tuomela & Solveig Hofmann - 2003 - Ethics and Information Technology 5 (3):163-176.
    A program for the simulation of rational social normative trust, predictive `trust,' and predictive reliance between agents will be introduced. It offers a tool for social scientists or a trust component for multi-agent simulations/multi-agent systems, which need to include trust between agents to guide the decisions about the course of action. It is based on an analysis of rational social normative trust (RSNTR) (revised version of M. Tuomela 2002), which is presented and briefly argued. For collective agents, belief conditions for (...)
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  9.  41
    A Simulation Approach to Veritistic Social Epistemology.Erik J. Olsson - 2011 - Episteme 8 (2):127-143.
    In a seminal book, Alvin I. Goldman outlines a theory for how to evaluate social practices with respect to their “veritistic value”, i.e., their tendency to promote the acquisition of true beliefs in society. In the same work, Goldman raises a number of serious worries for his account. Two of them concern the possibility of determining the veritistic value of a practice in a concrete case because we often don't know what beliefs are actually true, and even if we did, (...)
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  10. Simulating (some) individuals in a connected world.Jenny Krutzinna - 2021 - Journal of Medical Ethics 47 (6):403-404.
    Braun explores the use of digital twin technology in medicine with a particular emphasis on the question of how such simulations can represent a person.1 In defining some first conditions for ethically justifiable forms of representation of digital twins, he argues that digital twins do not threaten an embodied person, as long as that person retains control over their simulated representation via dynamic consent, and ideally with the option to choose both form and usage of the simulation. His thoughtful (...)
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  11.  53
    A simulation approach to veritistic social epistemology.Erik J. Olsson - 2011 - Episteme 8 (2):127-143.
    In a seminal book, Alvin I. Goldman outlines a theory for how to evaluate social practices with respect to their , i.e., their tendency to promote the acquisition of true beliefs (and impede the acquisition of false beliefs) in society. In the same work, Goldman raises a number of serious worries for his account. Two of them concern the possibility of determining the veritistic value of a practice in a concrete case because (1) we often don't know what beliefs are (...)
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  12.  23
    Modèles et simulations à base d’agents dans les sciences économiques et sociales : de l’exploration conceptuelle à une variété de manières d’expérimenter.Denis Phan & Franck Varenne - 2017 - In Gilles Campagnolo & Jean-Sébastien Gharbi (eds.), Philosophie économique: un état des lieux. Paris: Éditions matériologiques. pp. 347-382. Translated by Gilles Campagnolo.
    Les modèles basés sur des agents en interactions, constituent des systèmes sociaux complexes, qui peuvent être simulés par informatiques. Ils se répandent dans les sciences économiques et sociales - comme dans la plupart des sciences des systèmes complexes. Des énigmes épistémologiques (ré)apparaissent. On a souvent opposé modèles et investigations empiriques : d’un côté, on considère les sciences empiriques fondées sur une observation méthodique (enquêtes, expériences) tandis que de l’autre, on conçoit les approches théoriques et la modélisation comme s’appuyant sur une (...)
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  13.  7
    What Can Students Learn in an Extended Role-Play Simulation on Technology and Society?Michael C. Loui - 2009 - Bulletin of Science, Technology and Society 29 (1):37-47.
    In a small course on technology and society, students participated in an extended role-play simulation for two weeks. Each student played a different adult character in a fictional community, which faces technological decisions in three scenarios set in the near future. The three scenarios involved stem cell research, nanotechnology, and privacy. Each student had an active role in two scenarios and served as an observer for the third. At the beginning, students were apprehensive, excited, and uncertain. During the first and (...)
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  14. Simulation, self-extinction, and philosophy in the service of human civilization.Jeffrey White - 2016 - AI and Society 31 (2):171-190.
    Nick Bostrom’s recently patched ‘‘simulation argument’’ (Bostrom in Philos Q 53:243–255, 2003; Bos- trom and Kulczycki in Analysis 71:54–61, 2011) purports to demonstrate the probability that we ‘‘live’’ now in an ‘‘ancestor simulation’’—that is as a simulation of a period prior to that in which a civilization more advanced than our own—‘‘post-human’’—becomes able to simulate such a state of affairs as ours. As such simulations under consid- eration resemble ‘‘brains in vats’’ (BIVs) and may appear open to similar objections, the (...)
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  15. Simulation as formal and generative social science: the very idea.Nuno David, Jaime Sichman & Helder Coelho - 2007 - In Carlos Gershenson, Diederik Aerts & Bruce Edmonds (eds.), Worldviews, Science, and Us: Philosophy and Complexity. World Scientific. pp. 266--275.
    The formal and empirical-generative perspectives of computation are demonstrated to be inadequate to secure the goals of simulation in the social sciences. Simulation does not resemble formal demonstrations or generative mechanisms that deductively explain how certain models are sufficient to generate emergent macrostructures of interest. The description of scientific practice implies additional epistemic conceptions of scientific knowledge. Three kinds of knowledge that account for a comprehensive description of the discipline were identified: formal, empirical and intentional knowledge. The use of formal (...)
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  16.  18
    Proceedings of the XXIXth Conference of the French-Speaking Society for Theoretical Biology: Quantitative and Qualitative Approaches in Life Science: Formalisms, Models and Simulations in Biology and Health.Pascale Calabrese & Julie Fontecave-Jallon - 2010 - Acta Biotheoretica 58 (2-3):85-87.
    To study the interaction of forces that produce chest wall motion, we propose a model based on the lever system of Hillman and Finucane :951–961, 1987) and introduce some dynamic properties of the respiratory system. The passive elements are considered as elastic compartments linked to the open air via a resistive tube, an image of airways. The respiratory muscles force is applied to both compartments. Parameters of the model are identified in using experimental data of airflow signal measured by pneumotachography (...)
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  17.  62
    Simulation and reason explanation: The radical view.Robert M. Gordon - 2001 - Philosophical Topics 29 (1-2):175-192.
    Alvin Goldman's early work in action theory and theory of knowledge was a major influence on my own thinking and writing about emotions. For that reason and others, it was a very happy moment in my professional life when I learned, in 1988, that in his presidential address to the Society for Philosophy and Psychology Goldman endorsed and defended the “simulation” theory I had put forward in a 1986 article. I discovered afterward that we share a strong conviction that empirical (...)
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  18.  26
    Proceedings of the XXIXth Conference of the French-Speaking Society for Theoretical Biology: Quantitative and Qualitative Approaches in Life Science: Formalisms, Models and Simulations in Biology and Health.Pascale Calabrese, Pierre Baconnier, Aicha Laouani, Julie Fontecave-Jallon, Pierre-Yves Guméry & André Eberhard - 2010 - Acta Biotheoretica 58 (2-3):85-87.
    To study the interaction of forces that produce chest wall motion, we propose a model based on the lever system of Hillman and Finucane (J Appl Physiol 63(3):951–961, 1987 ) and introduce some dynamic properties of the respiratory system. The passive elements (rib cage and abdomen) are considered as elastic compartments linked to the open air via a resistive tube, an image of airways. The respiratory muscles (active) force is applied to both compartments. Parameters of the model are identified in (...)
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  19.  9
    Simulating the world: The digital enactment of pandemics as a mode of global self-observation.Sven Opitz - 2017 - European Journal of Social Theory 20 (3):392-416.
    If the twentieth century was the age of the world picture taken as a photograph of the Whole Earth from outer space, today’s observations of the planet are produced by means of computer simulation. Pandemic models are of paramount sociological interest in this respect, since modelling contagion is closely intertwined with modelling the material connectivities of social life. By envisioning the global dynamics of disease transmission, pandemic simulations enact the relationscapes of a transnational world. This article seeks to analyse such (...)
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  20.  27
    Simulations.Phil Beitchman, Paul Foss & Paul Patton (eds.) - 1983 - Semiotext(E).
    Simulations never existed as a book before it was "translated" into English. Actually it came from two different bookCovers written at different times by Jean Baudrillard. The first part of Simulations, and most provocative because it made a fiction of theory, was "The Procession of Simulacra." It had first been published in Simulacre et Simulations. The second part, written much earlier and in a more academic mode, came from L'Echange Symbolique et la Mort. It was a half-earnest, half-parodical attempt to (...)
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  21.  28
    From Small Groups to Large Societies: How to Construct a Simulator? [REVIEW]Rainer Hegselmann & Oliver Will - 2013 - Biological Theory 8 (2):185-194.
    There seems to be an overarching historical process in which life in small groups has evolved into life in large societies. This paper describes the design of a simulator for the study of that process. The simulator is named after David Hume (1711–1776), who presented a rich, informal, and still modern theory about the problems, useful inventions, and driving mechanisms in the evolution from small groups to large societies. HUME1.0 is a simulator that is meant to cover the (...)
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  22.  22
    Simulating the emergence of norms in different scenarios.Ulf Lotzmann, Michael Möhring & Klaus G. Troitzsch - 2013 - Artificial Intelligence and Law 21 (1):109 - 138.
    This paper deals with EMIL-S, a software tool box which was designed during the EMIL project for the simulation of processes during which norms emerged in an agent society. This tool box implements the cognitive architecture of normative agents which was designed during the EMIL project which is also discussed in other papers in this issue. This implementation is described in necessary detail, and two examples of its application to several different scenarios are given, namely a scenario in which persons (...)
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  23.  21
    Simulating Medical Patients and Practices: Bodies and the Construction of Valid Medical Simulators.Ericka Johnson - 2008 - Body and Society 14 (3):105-128.
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  24. Simulation from schematics: dorsal stream processing and the perception of implied motion.Kevin J. Holmes & Phillip Wolff - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 2704--2709.
     
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  25.  33
    Simulator-mediated acquisition of a dynamic control skill.Jean Hayes Michie & Donald Michie - 1998 - AI and Society 12 (1-2):71-77.
    Uses of stored skill-models to accelerate simulator-based real-time training in a control skill are discussed. A real-time coach must deliver advice at three levels: (1) what to do next, (2) what to watch for, and (3) what went wrong. Human learning and machine learning results are presented using different screen representations of a pole-and-cart balancing task.
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  26.  83
    Simulating convesations: The communion game. [REVIEW]Stephen J. Cowley & Karl MacDorman - 1995 - AI and Society 9 (2-3):116-137.
    In their enthusiasm for programming, computational linguists have tended to lose sight of what humansdo. They have conceived of conversations as independent of sound and the bodies that produce it. Thus, implicit in their simulations is the assumption that the text is the essence of talk. In fact, unlike electronic mail, conversations are acoustic events. During everyday talk, human understanding depends both on the words spoken and on fine interpersonal vocal coordination. When utterances are analysed into sequences of word-based forms, (...)
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  27.  41
    Simulating effects of signage, groups, and crowds on emergent evacuation patterns.Mei Ling Chu, Paolo Parigi, Jean-Claude Latombe & Kincho H. Law - 2015 - AI and Society 30 (4):493-507.
  28.  98
    Agent-Based Models and Simulations in Economics and Social Sciences: from conceptual exploration to distinct ways of experimenting.Denis Phan & Franck Varenne - 2010 - Journal of Artificial Societies and Social Simulation 13 (1).
    Now that complex Agent-Based Models and computer simulations spread over economics and social sciences - as in most sciences of complex systems -, epistemological puzzles (re)emerge. We introduce new epistemological concepts so as to show to what extent authors are right when they focus on some empirical, instrumental or conceptual significance of their model or simulation. By distinguishing between models and simulations, between types of models, between types of computer simulations and between types of empiricity obtained through a simulation, section (...)
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  29.  18
    誤りの修正を支援するシミュレーション環境: 誤り原因の示唆性を考慮した Error-Based Simulation の制御.Hirashima Tsukasa Horiguchi Tomoya - 2002 - Transactions of the Japanese Society for Artificial Intelligence 17:462-472.
    In simulation-based learning environments, 'unexpected' phenomena often work as counterexamples which promote a learner to reconsider the problem. It is important that counterexamples contain sufficient information which leads a learner to correct understanding. This paper proposes a method for creating such counterexamples. Error-Based Simulation (EBS) is used for this purpose, which simulates the erroneous motion in mechanics based on a learner's erroneous equation. Our framework is as follows: (1) to identify the cause of errors by comparing a learner's answer with (...)
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  30. Combining Simulative and Metaphor-Based Reasoning about Beliefs.John A. Barnden Stephen Helmreich Eric & Iverson Gees C. Stein - 1994 - In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum. pp. 21.
  31.  94
    Society-in-the-loop: programming the algorithmic social contract.Iyad Rahwan - 2018 - Ethics and Information Technology 20 (1):5-14.
    Recent rapid advances in Artificial Intelligence and Machine Learning have raised many questions about the regulatory and governance mechanisms for autonomous machines. Many commentators, scholars, and policy-makers now call for ensuring that algorithms governing our lives are transparent, fair, and accountable. Here, I propose a conceptual framework for the regulation of AI and algorithmic systems. I argue that we need tools to program, debug and maintain an algorithmic social contract, a pact between various human stakeholders, mediated by machines. To achieve (...)
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  32.  46
    Kant and the simulation hypothesis.Gagan Deep Kaur - 2015 - AI and Society 30 (2):183-192.
    Computational imagination (CI) conceives imagination as an agent’s simulated sensorimotor interaction with the environment in the absence of sensory feedback, predicting consequences based on this interaction (Marques and Holland in Neurocomputing 72:743–759, 2009). Its bedrock is the simulation hypothesis whereby imagination resembles seeing or doing something in reality as both involve similar neural structures in the brain (Hesslow in Trends Cogn Sci 6(6):242–247, 2002). This paper raises two-forked doubts: (1) neural-level equivalence is escalated to make phenomenological equivalence. Even at (...)
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  33. Simulating similarity-based retrieval: A comparison of ARCS and MAC/FAC.K. Law, K. D. Forbus & D. Gentner - 1994 - In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum. pp. 543--548.
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  34. Simulation and Controller Design of Thermal Spraying Processes.P. Nylén & U. Snis - forthcoming - Proceedings of Swedish Ai Society, Linköping.
     
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  35.  17
    Agent Based Modelling and Simulations in the Human and Social Siences.Denis Phan & Phan Amblard (eds.) - 2007 - Oxford: The Bardwell Press.
    This book brings together contributions from leading researchers in the field of agent-based modelling and simulation. This approach has grown out of some recent and innovative ideas in the social sciences, computer sciences, life sciences, physics and game theory. It is proving helpful in understanding complexity in many domains. The opportunities it offers to explore the experimental approach to social and human behaviour is proving of theoretical and empirical value across a wide range of fields. With contributions from researchers whose (...)
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  36. The concept of simulation in control-theoretic accounts of motor control and action perception.Mitchell Herschbach - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 315--20.
    Control theory is a popular theoretical framework for explaining cognitive domains such as motor control and “mindreading.” Such accounts frequently characterize their “internal models” as “simulating” things outside the brain. But in what sense are these “simulations”? Do they involve the kind of “replication” simulation found in the simulation theory of mindreading? I will argue that some but not all control -theoretic appeals to “simulation” involve R-simulation. To do so, I examine in detail a recent computational model of motor control (...)
     
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  37. Mental simulation of ones action.L. M. Parsons - 1990 - Bulletin of the Psychonomic Society 28 (6):513-513.
     
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  38.  13
    Šéstakov V. I.. O dvojnoj arifmétičéskoj intérprétacii tréhznačnogo isčisléniá vyskazyvanij, ispol'zuémoj pri modélirovanii elogo isčisléniá posrédstvom réléjno-kommutatornyh shém. Priménénié logiki v nauké i téhnike, Izdatél'stvo Akadémii Nauk SSSR, Moscow 1960, pp. 341–376.Šestakov V. I.. A dual arithmetic interpretation of the 3-valued propositional calculus utilized in the simulation of this calculus by relay-contact networks. English translation of the preceding by Ebner Leo. American Mathematical Society translations, ser. 2 vol. 48 , pp. 45–72. [REVIEW]Alan Rose - 1972 - Journal of Symbolic Logic 37 (1):187-187.
  39.  49
    Framing and the theory-simulation controversy. Predicting people's decisions.Josef Perner & Anton Kühberger - 2002 - Mind and Society 3 (2):65-80.
    We introduce a particular way of drawing the distinction between the use of theory and simulation in the prediction of people's decisions and describe an empirical method to test whether theory or simulation is used in a particular case. We demonstrate this method with two effects of decision making involving the choice between a safe option (take amount X) and a risky option (take double the amount X with probability 1/2). People's predictions of choice frequencies for trivial (€ 0.75) as (...)
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  40.  69
    The fiction of simulation: a critique of Bostrom’s simulation argument.Miloš Agatonović - forthcoming - AI and Society:1-8.
    Nick Bostrom’s “simulation argument” purports to show that if it is possible to create and run a vast number of computer simulations indistinguishable from the reality we are living in, then it is highly probable that we are already living in a computer simulation. However, the simulation argument requires a modification to escape the undermining implications of the scepticism it implies, as argued by Birch. The present paper shows that, even if the modified simulation argument is valid, still it is (...)
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  41. Simulated perceptual grouping: An application to human-computer interaction.Kristinn R. Thórisson - 1994 - In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum.
  42.  10
    Simulation.Nicholas Gane - 2006 - Theory, Culture and Society 23 (2-3):282-283.
  43.  21
    Safety by simulation: theorizing the future of robot regulation.Mika Viljanen - 2024 - AI and Society 39 (1):139-154.
    Mobility robots may soon be among us, triggering a need for safety regulation. Robot safety regulation, however, remains underexplored, with only a few articles analyzing what regulatory approaches could be feasible. This article offers an account of the available regulatory strategies and attempts to theorize the effects of simulation-based safety regulation. The article first discusses the distinctive features of mobility robots as regulatory targets and argues that emergent behavior constitutes the key regulatory concern in designing robot safety regulation regimes. In (...)
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  44. Computational simulation of depth perception in the mammalian visual system.Jesse S. Jin - 1994 - In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum. pp. 451.
     
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  45.  55
    Social explanation and computational simulation.R. Keith Sawyer - 2004 - Philosophical Explorations 7 (3):219-231.
    I explore a type of computational social simulation known as artificial societies. Artificial society simulations are dynamic models of real-world social phenomena. I explore the role that these simulations play in social explanation, by situating these simulations within contemporary philosophical work on explanation and on models. Many contemporary philosophers have argued that models provide causal explanations in science, and that models are necessary mediators between theory and data. I argue that artificial society simulations provide causal mechanistic explanations. I conclude (...)
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  46.  17
    The Research of Computer Simulation of Textual Dimension in the Context of the Musical Discourse.Larysa Oriekhova, Petro Andriichuk, Tetyana Shnurenko, Volodymyr Horobets, Valentina Sinelnikova & Ivan Sinelnikov - 2022 - Postmodern Openings 13 (3):310-322.
    The relevance of the study is determined by the need to rethink musical art as a value orientation in the period of postmodernity. The purpose of the study is to determine the features of the textual dimension of musical discourse as a feature of the postmodern value perception of musical art in combination with the information and computerization of society. The purpose of the article is to show the basic context of the textual dimension of musical discourse. This research shows (...)
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  47.  40
    Israel in the Poconos: simulating the nation in a Zionist summer camp.Dan Lainer-Vos - 2014 - Theory and Society 43 (1):91-116.
  48.  96
    Why Build a Virtual Brain? Large-scale Neural Simulations as Test-bed for Artificial Computing Systems.Matteo Colombo - 2015 - In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings & P. P. Maglio (eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 429-434.
    Despite the impressive amount of financial resources invested in carrying out large-scale brain simulations, it is controversial what the payoffs are of pursuing this project. The present paper argues that in some cases, from designing, building, and running a large-scale neural simulation, scientists acquire useful knowledge about the computational performance of the simulating system, rather than about the neurobiological system represented in the simulation. What this means, why it is not a trivial lesson, and how it advances the literature on (...)
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  49.  56
    Design, Development, and Evaluation of a Second Generation Interactive Simulator for Engineering Ethics Education (SEEE2).Michael Alfred & Christopher A. Chung - 2012 - Science and Engineering Ethics 18 (4):689-697.
    This paper describes a second generation Simulator for Engineering Ethics Education. Details describing the first generation activities of this overall effort are published in Chung and Alfred (Sci Eng Ethics 15:189–199, 2009). The second generation research effort represents a major development in the interactive simulator educational approach. As with the first generation effort, the simulator places students in first person perspective scenarios involving different types of ethical situations. Students must still gather data, assess the situation, and make decisions. The approach (...)
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  50.  3
    Anthropographics in COVID-19 simulations.Madeleine Sorapure - 2022 - Big Data and Society 9 (1).
    Data visualization researchers and designers have explored a range of approaches to ensure that non-expert audiences understand and derive value from their work. Using anthropomorphized data graphics—or anthropographics—is one strategy that can help create a connection between data and audiences. Anthropographics have been defined as “visualizations that represent data about people in a way that is intended to promote prosocial feelings or prosocial behavior.” However, during the SARS-CoV-2 pandemic, anthropographics were used in data visualizations that had an expanded range of (...)
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