Results for ' simulation'

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  1. Illusion / Real.Simulation - 2007 - In Jean Baudrillard (ed.), Exiles from dialogue. Malden, Mass.: Polity.
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  2. Mirror neurons and the simulation theory of mind-reading.Vittorio Gallese & Alvin I. Goldman - 1998 - Trends in Cognitive Sciences 2 (12):493–501.
    A new class of visuomotor neuron has been recently discovered in the monkey’s premotor cortex: mirror neurons. These neurons respond both when a particular action is performed by the recorded monkey and when the same action, performed by another individual, is observed. Mirror neurons appear to form a cortical system matching observation and execution of goal-related motor actions. Experimental evidence suggests that a similar matching system also exists in humans. What might be the functional role of this matching system? One (...)
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  3. Advancing the art of simulation in the social sciences.Robert Axelrod - 1997 - Complexity 3 (2):16-22.
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  4.  38
    Calculated Surprises: A Philosophy of Computer Simulation.Johannes Lenhard - 2019 - Oup Usa.
    Simulation modeling, the core thesis of Calculated Surprises, is transforming the established conception of mathematical modeling in fundamental ways. These transformations feed back into philosophy of science, opening up new perspectives on longstanding oppositions. The book integrates historical features with both practical case studies and broad reflections on science and technology.
  5.  81
    Epistemic Entitlements and the Practice of Computer Simulation.John Symons & Ramón Alvarado - 2019 - Minds and Machines 29 (1):37-60.
    What does it mean to trust the results of a computer simulation? This paper argues that trust in simulations should be grounded in empirical evidence, good engineering practice, and established theoretical principles. Without these constraints, computer simulation risks becoming little more than speculation. We argue against two prominent positions in the epistemology of computer simulation and defend a conservative view that emphasizes the difference between the norms governing scientific investigation and those governing ordinary epistemic practices.
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  6. How Do Engineering Scientists Think? Model‐Based Simulation in Biomedical Engineering Research Laboratories.Nancy J. Nersessian - 2009 - Topics in Cognitive Science 1 (4):730-757.
    Designing, building, and experimenting with physical simulation models are central problem‐solving practices in the engineering sciences. Model‐based simulation is an epistemic activity that includes exploration, generation and testing of hypotheses, explanation, and inference. This paper argues that to interpret and understand how these simulation models function in creating knowledge and technologies requires construing problem solving as accomplished by a researcher–artifact system. It draws on and further develops the framework of “distributed cognition” to interpret data collected in ethnographic (...)
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  7. Capacity for simulation and mitigation drives hedonic and non-hedonic time biases.Preston Greene, Andrew J. Latham, Kristie Miller & James Norton - 2022 - Philosophical Psychology 35 (2):226-252.
    Until recently, philosophers debating the rationality of time-biases have supposed that people exhibit a first-person hedonic bias toward the future, but that their non-hedonic and third-person preferences are time-neutral. Recent empirical work, however, suggests that our preferences are more nuanced. First, there is evidence that our third-person preferences exhibit time-neutrality only when the individual with respect to whom we have preferences—the preference target—is a random stranger about whom we know nothing; given access to some information about the preference target, third-person (...)
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  8. (1 other version)Folk psychology: Simulation or tacit theory?Stephen Stich & Shaun Nichols - 1992 - Mind and Language 7 (1-2):35-71.
    A central goal of contemporary cognitive science is the explanation of cognitive abilities or capacities. [Cummins 1983] During the last three decades a wide range of cognitive capacities have been subjected to careful empirical scrutiny. The adult's ability to produce and comprehend natural language sentences and the child's capacity to acquire a natural language were among the first to be explored. [Chomsky 1965, Fodor, Bever & Garrett 1974, Pinker 1989] There is also a rich literature on the ability to solve (...)
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  9. Cognitivism and computer simulation.Anthony Palmer - 1987 - In Alan Costall (ed.), Cognitive Psychology In Question. New York: St Martin's Press. pp. 55--69.
     
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  10.  54
    Developing an Evaluation Tool for Assessing Clinical Ethics Consultation Skills in Simulation Based Education: The ACES Project.Katherine Wasson, Kayhan Parsi, Michael McCarthy, Viva Jo Siddall & Mark Kuczewski - 2016 - HEC Forum 28 (2):103-113.
    The American Society for Bioethics and Humanities has created a quality attestation process for clinical ethics consultants; the pilot phase of reviewing portfolios has begun. One aspect of the QA process which is particularly challenging is assessing the interpersonal skills of individual clinical ethics consultants. We propose that using case simulation to evaluate clinical ethics consultants is an approach that can meet this need provided clear standards for assessment are identified. To this end, we developed the Assessing Clinical Ethics (...)
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  11.  81
    He thinks he knows: And more developmental evidence against the simulation (role taking) theory.Josef Perner & Deborrah Howes - 1992 - Mind and Language 7 (1-2):72-86.
  12. Metaphor interpretation as embodied simulation.Raymond W. Gibbs - 2006 - Mind and Language 21 (3):434–458.
    Cognitive theories of metaphor understanding are typically described in terms of the mappings between different kinds of abstract, schematic, disembodied knowledge. My claim in this paper is that part of our ability to make sense of metaphorical language, both individual utterances and extended narratives, resides in the automatic construction of a simulation whereby we imagine performing the bodily actions referred to in the language. Thus, understanding metaphorical expressions like ‘grasp a concept’ or ‘get over’ an emotion involve simulating what (...)
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  13.  58
    The scope and limit of mental simulation.Pierre Jacob - 2002 - In Jérôme Dokic & Joëlle Proust (eds.), Simulation and Knowledge of Action. John Benjamins.
  14. The dimensions of episodic simulation.B. Mahr Johannes - 2020 - Cognition 196 (1):104085.
    Human adults possess the extraordinary ability to produce mental imagery about a wide variety of non-occurrent events. We can, for example, simulate the perception of different places, different times, different possibilities, or others’ perspectives. Findings from cognitive psychology, neuropsychology, and cognitive neuroscience suggest that all of these capacities rely on the same neuro-cognitive mechanism: episodic simulation. This ability produces mental imagery by constructively recombining elements of past experiences to simulate event representations. However, if episodic simulation indeed produces mental (...)
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  15.  35
    (1 other version)Varieties of off-line simulation.Alan M. Leslie, Shaun Nichols, Stephen P. Stich & David B. Klein - 1996 - In Peter Carruthers & Peter K. Smith (eds.), Theories of Theories of Mind. New York: Cambridge University Press. pp. 39-74.
    In the last few years, off-line simulation has become an increasingly important alternative to standard explanations in cognitive science. The contemporary debate began with Gordon (1986) and Goldman's (1989) off-line simulation account of our capacity to predict behavior. On their view, in predicting people's behavior we take our own decision making system `off line' and supply it with the `pretend' beliefs and desires of the person whose behavior we are trying to predict; we then let the decision maker (...)
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  16. Understanding simulation.Susan Hurley - 2008 - Philosophy and Phenomenological Research 77 (3):755-774.
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  17. Innocence Lost: Simulation Scenarios: Prospects and Consequences.Barry Francis Dainton - manuscript
    Those who believe suitably programmed computers could enjoy conscious experience of the sort we enjoy must accept the possibility that their own experience is being generated as part of a computerized simulation. It would be a mistake to dismiss this is just one more radical sceptical possibility: for as Bostrom has recently noted, if advances in computer technology were to continue at close to present rates, there would be a strong probability that we are each living in a computer (...)
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  18.  18
    Does Motor Simulation Theory Explain the Cognitive Mechanisms Underlying Motor Imagery? A Critical Review.Helen O’Shea & Aidan Moran - 2017 - Frontiers in Human Neuroscience 11.
  19.  65
    Values and Uncertainty in Simulation Models.Margaret Morrison - 2014 - Erkenntnis 79 (S5):939-959.
    In this paper I argue for a distinction between subjective and value laden aspects of judgements showing why equating the former with the latter has the potential to confuse matters when the goal is uncovering the influence of political influences on scientific practice. I will focus on three separate but interrelated issues. The first concerns the issue of ‘verification’ in computational modelling. This is a practice that involves a number of formal techniques but as I show, even these allegedly objective (...)
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  20. Mental Time Travel? A Neurocognitive Model of Event Simulation.Donna Rose Addis - 2020 - Review of Philosophy and Psychology 11 (2):233-259.
    Mental time travel is defined as projecting the self into the past and the future. Despite growing evidence of the similarities of remembering past and imagining future events, dominant theories conceive of these as distinct capacities. I propose that memory and imagination are fundamentally the same process – constructive episodic simulation – and demonstrate that the ‘simulation system’ meets the three criteria of a neurocognitive system. Irrespective of whether one is remembering or imagining, the simulation system: acts (...)
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  21.  73
    A Bayesian Simulation Model of Group Deliberation and Polarization.Erik J. Olsson - 2013 - Springer.
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  22.  21
    Signification and simulation: Barthes's response to Turing.Mary McGee Wood - 1988 - Paragraph 11 (3):210-226.
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  23.  98
    Evidence and Knowledge from Computer Simulation.Wendy S. Parker - 2020 - Erkenntnis 87 (4):1521-1538.
    Can computer simulation results be evidence for hypotheses about real-world systems and phenomena? If so, what sort of evidence? Can we gain genuinely new knowledge of the world via simulation? I argue that evidence from computer simulation is aptly characterized as higher-order evidence: it is evidence that other evidence regarding a hypothesis about the world has been collected. Insofar as particular epistemic agents do not have this other evidence, it is possible that they will gain genuinely new (...)
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  24. Diversity, Trust, and Conformity: A Simulation Study.Sina Fazelpour & Daniel Steel - 2022 - Philosophy of Science 89 (2):209-231.
    Previous simulation models have found positive effects of cognitive diversity on group performance, but have not explored effects of diversity in demographics (e.g., gender, ethnicity). In this paper, we present an agent-based model that captures two empirically supported hypotheses about how demographic diversity can improve group performance. The results of our simulations suggest that, even when social identities are not associated with distinctive task-related cognitive resources, demographic diversity can, in certain circumstances, benefit collective performance by counteracting two types of (...)
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  25. Imagination and Simulation in Audience Responses to Fiction.Alvin Goldman - 2006 - In Shaun Nichols (ed.), The Architecture of the Imagination: New Essays on Pretence, Possibility, and Fiction. Oxford, GB: Oxford University Press UK. pp. 41-56.
    This chapter considers how imagination generates emotion. ‘Supposition-imagination’ (S-imagination) is distinguished from ‘enactment-imagination’ (E-imagination). The former kind of imagination involves entertaining or supposing various hypothetical scenarios; with the latter kind of imagination, one tries to create a kind of facsimile of a mental state. Thus, one might try to create a perception-like state as in visual imagination or motoric imagination. It is argued that this much richer form of imagination generates typical emotional reactions to fiction. Emotional reactions to fiction are (...)
     
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  26. The epistemic superiority of experiment to simulation.Sherrilyn Roush - 2018 - Synthese 195 (11):4883-4906.
    This paper defends the naïve thesis that the method of experiment has per se an epistemic superiority over the method of computer simulation, a view that has been rejected by some philosophers writing about simulation, and whose grounds have been hard to pin down by its defenders. I further argue that this superiority does not come from the experiment’s object being materially similar to the target in the world that the investigator is trying to learn about, as both (...)
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  27. The shared circuits model (SCM): How control, mirroring, and simulation can enable imitation, deliberation, and mindreading.Susan Hurley - 2008 - Behavioral and Brain Sciences 31 (1):1-22.
    Imitation, deliberation, and mindreading are characteristically human sociocognitive skills. Research on imitation and its role in social cognition is flourishing across various disciplines. Imitation is surveyed in this target article under headings of behavior, subpersonal mechanisms, and functions of imitation. A model is then advanced within which many of the developments surveyed can be located and explained. The shared circuits model (SCM) explains how imitation, deliberation, and mindreading can be enabled by subpersonal mechanisms of control, mirroring, and simulation. It (...)
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  28. Language and simulation in conceptual processing.Lawrence W. Barsalou, Ava Santos, W. Kyle Simmons & Wilson & D. Christine - 2008 - In Manuel de Vega, Arthur M. Glenberg & Arthur C. Graesser (eds.), Symbols and embodiment: debates on meaning and cognition. New York: Oxford University Press.
  29. Natural Evil and the Simulation Hypothesis.David Kyle Johnson - 2011 - Philo 14 (2):161-175.
    Some theists maintain that they need not answer the threat posed to theistic belief by natural evil; they have reason enough to believe that God exists and it renders impotent any threat that natural evil poses to theism. Explicating how God and natural evil coexist is not necessary since they already know both exist. I will argue that, even granting theists the knowledge they claim, this does not leave them in an agreeable position. It commits the theist to a very (...)
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  30. Mirror neurons are not evidence for the Simulation Theory.Shannon Spaulding - 2012 - Synthese 189 (3):515-534.
    Recently, there has been a resurgence of interest in theories of mindreading. New discoveries in neuroscience have revitalized the languishing debate. The discovery of so-called mirror neurons has revived interest particularly in the Simulation Theory (ST) of mindreading. Both ST proponents and theorists studying mirror neurons have argued that mirror neurons are strong evidence in favor of ST over Theory Theory (TT). In this paper I argue against the prevailing view that mirror neurons are evidence for the ST of (...)
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  31. The Simplicity Assumption and Some Implications of the Simulation Argument for our Civilization.Lorenzo Pieri - manuscript
    According to the most common interpretation of the simulation argument, we are very likely to live in an ancestor simulation. It is interesting to ask if some families of simulations are more likely than others inside the space of all simulations. We argue that a natural probability measure is given by computational complexity: easier simulations are more likely to be run. Remarkably this allows us to extract experimental predictions from the fact that we live in a simulation. (...)
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  32.  34
    Generative Explanation and Individualism in Agent-Based Simulation.Julie Zahle - 2013 - Philosophy of the Social Sciences 43 (3):323-340.
    Social scientists associate agent-based simulation (ABS) models with three ideas about explanation: they provide generative explanations, they are models of mechanisms, and they implement methodological individualism. In light of a philosophical account of explanation, we show that these ideas are not necessarily related and offer an account of the explanatory import of ABS models. We also argue that their bottom-up research strategy should be distinguished from methodological individualism.
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  33.  17
    Sound and complete qualitative simulation is impossible.A. C. Cem Say & H. Levent Akın - 2003 - Artificial Intelligence 149 (2):251-266.
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  34.  43
    Pianists duet better when they play with themselves: On the possible role of action simulation in synchronization.Peter E. Keller, Günther Knoblich & Bruno H. Repp - 2007 - Consciousness and Cognition 16 (1):102-111.
    Ensemble musicians play in synchrony despite expressively motivated irregularities in timing. We hypothesized that synchrony is achieved by each performer internally simulating the concurrent actions of other ensemble members, relying initially on how they would perform in their stead. Hence, musicians should be better at synchronizing with recordings of their own earlier performances than with others’ recordings. We required pianists to record one part from each of several piano duets, and later to play the complementary part in synchrony with their (...)
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  35.  37
    Boon and Bane: On the Role of Adjustable Parameters in Simulation Models.Hans Hasse & Johannes Lenhard - 2017 - In Martin Carrier & Johannes Lenhard (eds.), Mathematics as a Tool: Tracing New Roles of Mathematics in the Sciences. Springer Verlag.
    We claim that adjustable parameters play a crucial role in building and applying simulation models. We analyze that role and illustrate our findings using examples from equations of state in thermodynamics. In building simulation models, two types of experiments, namely, simulation and classical experiments, interact in a feedback loop, in which model parameters are adjusted. A critical discussion of how adjustable parameters function shows that they are boon and bane of simulation. They help to enlarge the (...)
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  36. The Fine-Tuning Argument and the Simulation Hypothesis.Moti Mizrahi - 2017 - Think 16 (47):93-102.
    In this paper, I propose that, in addition to the multiverse hypothesis, which is commonly taken to be an alternative explanation for fine-tuning, other than the design hypothesis, the simulation hypothesis is another explanation for fine-tuning. I then argue that the simulation hypothesis undercuts the alleged evidential connection between ‘designer’ and ‘supernatural designer of immense power and knowledge’ in much the same way that the multiverse hypothesis undercuts the alleged evidential connection between ‘fine-tuning’ and ‘fine-tuner’ (or ‘designer’). If (...)
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  37.  26
    Role-Playing Computer Ethics: Designing and Evaluating the Privacy by Design (PbD) Simulation.Katie Shilton, Donal Heidenblad, Adam Porter, Susan Winter & Mary Kendig - 2020 - Science and Engineering Ethics 26 (6):2911-2926.
    There is growing consensus that teaching computer ethics is important, but there is little consensus on how to do so. One unmet challenge is increasing the capacity of computing students to make decisions about the ethical challenges embedded in their technical work. This paper reports on the design, testing, and evaluation of an educational simulation to meet this challenge. The privacy by design simulation enables more relevant and effective computer ethics education by letting students experience and make decisions (...)
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  38.  7
    From United Steel to Waymo: industrializing simulation.Sam Hind - forthcoming - AI and Society:1-14.
    The use of computers for simulation work can be traced back to the 1950s, and the pioneering work of Stafford Beer, KD Tocher and others at Cybor House in Sheffield, UK, the research and development (R&D) department of British steelmakers, United Steel. This innovative simulation work sought to offer an abstracted, ‘total’ environment of the steelmaking process in which different operational activities could be modeled. Critical to this work was the ability of computer simulations to perform such modelling (...)
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    Traveling with TARDIS. Parameterization and transferability in molecular modeling and simulation.Johannes Lenhard & Hans Hasse - 2023 - Synthese 201 (4):1-18.
    The English language has adopted the word Tardis for something that looks simple from the outside but is much more complicated when inspected from the inside. The word comes from a BBC science fiction series, in which the Tardis is a machine for traveling in time and space, that looks like a phone booth from the outside. This paper claims that simulation models are a Tardis in a way that calls into question their transferability. The argument is developed taking (...)
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  40.  24
    Finite element simulation and experimental determination of interfacial adhesion properties by wedge indentation.L. Chen, K. B. Yeap, K. Y. Zeng & G. R. Liu - 2009 - Philosophical Magazine 89 (17):1395-1413.
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  41.  21
    Science and Art of Simulation I. Exploring – Understanding – Knowing (SAS).Michael Resch, Andreas Kaminski & Petra Gehring (eds.) - 2017 - Berlin, Heidelberg: Springer.
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  42. Conscious thought as simulation of behavior and perception.Germund Hesslow - 2002 - Trends in Cognitive Sciences 6 (6):242-247.
  43.  24
    Modeling and Simulation for Effectiveness Evaluation of Dynamic Discrete Military Supply Chain Networks.Biao Xiong, Bixin Li, Rong Fan, Qingzhong Zhou & Wu Li - 2017 - Complexity:1-9.
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  44.  25
    Embodied simulation and knowledge of possibilities.Max Jones & Tom Schoonen - forthcoming - Philosophical Psychology.
  45.  89
    Heuristics, hypotheses, and social influence: A new approach to the experimental simulation of social epistemology.Robert Rosenwein & Michael Gorman - 1995 - Social Epistemology 9 (1):57 – 69.
    (1995). Heuristics, hypotheses, and social influence: A new approach to the experimental simulation of social epistemology. Social Epistemology: Vol. 9, Simulating Science, pp. 57-69.
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  46. Westworld: Ideology, Simulation, Spectacle.Larry Alan Busk - 2016 - Mediations 30 (1).
    Is ideology critique equipped to handle the hyperreal? Larry Alan Busk analyzes Michael Crichton’s 1973 film Westworld as a symptom of the ideological complexity of the current political and cultural conjuncture.
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  47. Re-Enactment and Simulation: Toward a Synthesis of What Type?René Berger & R. Scott Walker - 1989 - Diogenes 37 (147):1-22.
    For thousands of years communication has functioned principally by means of linguistic and iconic messages. In the first case linguistic symbols serve as intermediaries; in the second, images or, more broadly, representations. In order to be transmitted, linguistic and/or iconic symbols need to be re-produced, re-presented, vocally, through writing, painting, sculpture or any other means of re-production. But re-production requires a space that, through use of an appropriate material, serves as its medium; forms to occupy it; rules to control it, (...)
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  48. All that can be at issue in the theory-theory/simulation debate.Frank Jackson - 1999 - Philosophical Papers 28 (2):77-96.
  49.  7
    Molecular dynamics simulation of aluminium diffusion in decagonal quasicrystals.S. Hocker, F. Gähler & P. Brommer - 2006 - Philosophical Magazine 86 (6-8):1051-1057.
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    Modeling and simulation of metabolic pathways, gene regulation and cell differentiation.Ralf Hofestädt, Michael Mavrovouniotis, Julio Collado-Vides & Markus Löffler - 1996 - Bioessays 18 (4):333-335.
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