Results for 'Methodology of Simulation'

965 found
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  1. Validation of Computer Simulations from a Kuhnian Perspective.Eckhart Arnold - 2019 - In Claus Beisbart & Nicole J. Saam (eds.), Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives. Springer Verlag. pp. 203-224.
    While Thomas Kuhn's theory of scientific revolutions does not specifically deal with validation, the validation of simulations can be related in various ways to Kuhn's theory: 1) Computer simulations are sometimes depicted as located between experiments and theoretical reasoning, thus potentially blurring the line between theory and empirical research. Does this require a new kind of research logic that is different from the classical paradigm which clearly distinguishes between theory and empirical observation? I argue that this is not the case. (...)
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  2. The Simulation Hypothesis and the Crisis of Epistemological Certainty.Stephen Leonard Carr - manuscript
    This paper examines how accepting the simulation hypothesis as a serious philosophical proposition forces a fundamental reconsideration of epistemological certainty. While previous work has focused on the probability of living in a simulation or the nature of consciousness within simulations, we demonstrate that the mere possibility of simulated reality creates a unique crisis for knowledge hierarchies that differs fundamentally from traditional sceptical arguments. Unlike Cartesian doubt, which preserves the notion of an objective reality while questioning our access to (...)
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  3. Chains of Reference in Computer Simulations.Franck Varenne - 2013 - FMSH Working Papers 51:1-32.
    This paper proposes an extensionalist analysis of computer simulations (CSs). It puts the emphasis not on languages nor on models, but on symbols, on their extensions, and on their various ways of referring. It shows that chains of reference of symbols in CSs are multiple and of different kinds. As they are distinct and diverse, these chains enable different kinds of remoteness of reference and different kinds of validation for CSs. Although some methodological papers have already underlined the role of (...)
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  4. Methodological Individualism and Agent-based Computational Simulation: A Reply to Kincaid and Zahle.Francesco Di Iorio - 2024 - Social Science Information.
    This study reflects on Harold Kincaid and Jule Zahle’s view that there is no necessary association between methodological individualism and agent-based models because the analysis of social phenomena in terms of the latter cannot always be regarded as an implementation of the former. Their view remains in contention with the standpoint of several philosophers of science and social scientists, including Chen and Di Iorio. Kincaid and Zahle’s main argument against such a standpoint is that agent-based simulation is compatible with (...)
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    The Mind of the Noble Ape in Three Simulations.Tom Barbalet - 2012 - In Liz Swan (ed.), Origins of Mind. New York: Springer Verlag. pp. 383--397.
    The Noble Ape Simulation offers an account of the mind as something that can be observed, measured, and ultimately simulated through external effects. This version of the applied mind is not created through a single method but through layering three simulations relating to information chemistry, social constraints, and evolving narrative. As examples, additional simulation elements in Noble Ape are presented to offer the simulation methodology of Noble Ape. This chapter, rather than being a theoretical critique, is (...)
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  6. The mind of the noble ape in three simulations.Tom Barbalet - 2012 - In Liz Swan (ed.), Origins of Mind. New York: Springer Verlag. pp. 383--397.
    The Noble Ape Simulation offers an account of the mind as something that can be observed, measured, and ultimately simulated through external effects. This version of the applied mind is not created through a single method but through layering three simulations relating to information chemistry, social constraints, and evolving narrative. As examples, additional simulation elements in Noble Ape are presented to offer the simulation methodology of Noble Ape. This chapter, rather than being a theoretical critique, is (...)
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  7. How simulations fail.Patrick Grim, Robert Rosenberger, Adam Rosenfeld, Brian Anderson & Robb E. Eason - 2011 - Synthese 190 (12):2367-2390.
    ‘The problem with simulations is that they are doomed to succeed.’ So runs a common criticism of simulations—that they can be used to ‘prove’ anything and are thus of little or no scientific value. While this particular objection represents a minority view, especially among those who work with simulations in a scientific context, it raises a difficult question: what standards should we use to differentiate a simulation that fails from one that succeeds? In this paper we build on a (...)
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  8. The Logic of the Method of Agent-Based Simulation in the Social Sciences: Empirical and Intentional Adequacy of Computer Programs.Nuno David, Jaime Sichman & Helder Coleho - 2005 - Journal of Artificial Societies and Social Simulation 8 (4).
    The classical theory of computation does not represent an adequate model of reality for simulation in the social sciences. The aim of this paper is to construct a methodological perspective that is able to conciliate the formal and empirical logic of program verification in computer science, with the interpretative and multiparadigmatic logic of the social sciences. We attempt to evaluate whether social simulation implies an additional perspective about the way one can understand the concepts of program and computation. (...)
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  9. Criticism of individualist and collectivist methodological approaches to social emergence.S. M. Reza Amiri Tehrani - 2023 - Expositions: Interdisciplinary Studies in the Humanities 15 (3):111-139.
    ABSTRACT The individual-community relationship has always been one of the most fundamental topics of social sciences. In sociology, this is known as the micro-macro relationship while in economics it refers to the processes, through which, individual actions lead to macroeconomic phenomena. Based on philosophical discourse and systems theory, many sociologists even use the term "emergence" in their understanding of micro-macro relationship, which refers to collective phenomena that are created by the cooperation of individuals, but cannot be reduced to individual actions. (...)
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  10. The Structure and Logic of Interdisciplinary Research in Agent-Based Social Simulation.Nuno David, Maria Marietto, Jaime Sichman & Helder Coelho - 2004 - Journal of Artificial Societies and Social Simulation 7 (3).
    This article reports an exploratory survey of the structure of interdisciplinary research in Agent-Based Social Simulation. One hundred and ninety six researchers participated in the survey completing an on-line questionnaire. The questionnaire had three distinct sections, a classification of research domains, a classification of models, and an inquiry into software requirements for designing simulation platforms. The survey results allowed us to disambiguate the variety of scientific goals and modus operandi of researchers with a reasonable level of detail, and (...)
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  11. Les simulations computationnelles dans les sciences sociales.Franck Varenne - 2010 - Nouvelles Perspectives En Sciences Sociales 5 (2):17-49.
    Since the 1990’s, social sciences are living their computational turn. This paper aims to clarify the epistemological meaning of this turn. To do this, we have to discriminate between different epistemic functions of computation among the diverse uses of computers for modeling and simulating in the social sciences. Because of the introduction of a new – and often more user-friendly – way of formalizing and computing, the question of realism of formalisms and of proof value of computational treatments reemerges. Facing (...)
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  12. Energy analysis for construction of a zero-energy residential building using thermal simulation in Iran.Nima Amani, Abdulamir Rezasoroush, Mostafa Moghadas Mashhad & Keyvan Safarzadeh - 2021 - International Journal of Energy Sector Management (Ijesm) 15 (5):895-913.
    Purpose: The purpose of this paper is to examine the feasibility and design of zero-energy buildings (ZEBs) in cold and semi-arid climates. In this study, to maximize the use of renewable energy, energy consumption is diminished using passive solar architecture systems and techniques. -/- Design/methodology/approach: The case study is a residential building with a floor area of 100 m2 and four inhabitants in the cold and semi-arid climate, northeast of Iran. For thermal simulation, the climate data such as (...)
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  13. The Potential of AI to Simulate Real-Time Historical What-If Scenarios for Immersive Educational Experiences.Mezbah Uddin Rafi - 2024 - SSRN 1 (13 September 2024):16.
    This paper examines the innovative application of Artificial Intelligence (AI) to simulate real-time historical what-if scenarios, exploring its potential for creating immersive and engaging educational experiences. AI-driven simulations could revolutionize the way history is taught, allowing users to engage directly with alternative historical outcomes. By exploring possible scenarios—such as different outcomes for major events like World War II or the Cuban Missile Crisis—students and educators can gain deeper insights into historical processes. This paper discusses the methodologies behind AI-driven historical simulations, (...)
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  14. Models, Unification, and Simulations: Margaret C. Morrison (1954–2021).Brigitte Falkenburg & Stephan Hartmann - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (1):25-33.
    The philosophy of science community mourns the loss of Margaret Catherine Morrison, who passed away on January 9, 2021, after a long battle with cancer. Margie, as she was known to all who knew her, was highly regarded for her influential contributions to the philosophy of science, particularly her studies of the role of models and simulations in the natural and social sciences. These contributions made her a world-leading philosopher of science, instrumental in shifting philosophers' attention from the structure of (...)
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  15. What’s in a Survey? Simulation-Induced Selection Effects in Astronomy.Sarah C. Gallagher & Chris Smeenk - 2023 - In Nora Mills Boyd, Siska De Baerdemaeker, Kevin Heng & Vera Matarese (eds.), Philosophy of Astrophysics: Stars, Simulations, and the Struggle to Determine What is Out There. Springer Verlag. pp. 207819642-222831658.
    Observational astronomy is plagued with selection effects that must be taken into account when interpreting data from astronomical surveys. Because of the physical limitations of observing time and instrument sensitivity, datasets are rarely complete. However, determining specifically what is missing from any sample is not always straightforward. For example, there are always more faint objects (such as galaxies) than bright ones in any brightness-limited sample, but faint objects may not be of the same kind as bright ones. Assuming they are (...)
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  16. Using Computer Simulations for Hypothesis-Testing and Prediction: Epistemological Strategies.Tan Nguyen - manuscript
    This paper explores the epistemological challenges in using computer simulations for two distinct goals: explanation via hypothesis-testing and prediction. It argues that each goal requires different strategies for justifying inferences drawn from simulation results due to different practical and conceptual constraints. The paper identifies unique and shared strategies researchers employ to increase confidence in their inferences for each goal. For explanation via hypothesis-testing, researchers need to address the underdetermination, interpretability, and attribution challenges. In prediction, the emphasis is on the (...)
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  17. Explanatory completeness and idealization in large brain simulations: a mechanistic perspective.Marcin Miłkowski - 2016 - Synthese 193 (5):1457-1478.
    The claim defended in the paper is that the mechanistic account of explanation can easily embrace idealization in big-scale brain simulations, and that only causally relevant detail should be present in explanatory models. The claim is illustrated with two methodologically different models: Blue Brain, used for particular simulations of the cortical column in hybrid models, and Eliasmith’s SPAUN model that is both biologically realistic and able to explain eight different tasks. By drawing on the mechanistic theory of computational explanation, I (...)
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  18. The role of robotics and AI in technologically mediated human evolution: a constructive proposal.Jeffrey White - 2020 - AI and Society 35 (1):177-185.
    This paper proposes that existing computational modeling research programs may be combined into platforms for the information of public policy. The main idea is that computational models at select levels of organization may be integrated in natural terms describing biological cognition, thereby normalizing a platform for predictive simulations able to account for both human and environmental costs associated with different action plans and institutional arrangements over short and long time spans while minimizing computational requirements. Building from established research programs, the (...)
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  19. Philosophy of Social Science in a nutshell: from discourse to model and experiment.Michel Dubois & Denis Phan - 2007 - In Denis Phan & Phan Amblard (eds.), Agent Based Modelling and Simulations in the Human and Social Siences. Oxford: The Bardwell Press. pp. 393-431.
    The debates on the scientificity of social sciences in general, and sociology in particular, are recurring. From the original methodenstreitat the end the 19th Century to the contemporary controversy on the legitimacy of “regional epistemologies”, a same set of interrogations reappears. Are social sciences really scientific? And if so, are they sciences like other sciences? How should we conceive “research programs” Lakatos (1978) or “research traditions” for Laudan (1977) able to produce advancement of knowledge in the field of social and (...)
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  20. The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics.Roberto Cordeschi - 2002 - Kluwer Academic Publishers.
    Since the second half of the XXth century, researchers in cybernetics and AI, neural nets and connectionism, Artificial Life and new robotics have endeavoured to build different machines that could simulate functions of living organisms, such as adaptation and development, problem solving and learning. In this book these research programs are discussed, particularly as regard the epistemological issues of the behaviour modelling. One of the main novelty of this book consists of the fact that certain projects involving the building of (...)
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  21. (2 other versions)From Silico to Vitro: Computational Models of Complex Biological Systems Reveal Real-World Emergent Phenomena.Orly Stettiner - 2016 - In Vincent C. Müller (ed.), Computing and philosophy: Selected papers from IACAP 2014. Cham: Springer. pp. 133-147.
    Computer simulations constitute a significant scientific tool for promoting scientific understanding of natural phenomena and dynamic processes. Substantial leaps in computational force and software engineering methodologies now allow the design and development of large-scale biological models, which – when combined with advanced graphics tools – may produce realistic biological scenarios, that reveal new scientific explanations and knowledge about real life phenomena. A state-of-the-art simulation system termed Reactive Animation (RA) will serve as a study case to examine the contemporary philosophical (...)
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  22. Computational modeling in philosophy: introduction to a topical collection.Simon Scheller, Christoph Merdes & Stephan Hartmann - 2022 - Synthese 200 (2):1-10.
    Computational modeling should play a central role in philosophy. In this introduction to our topical collection, we propose a small topology of computational modeling in philosophy in general, and show how the various contributions to our topical collection fit into this overall picture. On this basis, we describe some of the ways in which computational models from other disciplines have found their way into philosophy, and how the principles one found here still underlie current trends in the field. Moreover, we (...)
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  23. The Sum of the Parts: Large-Scale Modeling in Systems Biology.Fridolin Gross & Sara Green - 2017 - Philosophy, Theory, and Practice in Biology 9 (10).
    Systems biologists often distance themselves from reductionist approaches and formulate their aim as understanding living systems “as a whole.” Yet, it is often unclear what kind of reductionism they have in mind, and in what sense their methodologies would offer a superior approach. To address these questions, we distinguish between two types of reductionism which we call “modular reductionism” and “bottom-up reductionism.” Much knowledge in molecular biology has been gained by decomposing living systems into functional modules or through detailed studies (...)
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  24. Humanities’ metaphysical underpinnings of late frontier scientific research.Alcibiades Malapi-Nelson - 2014 - Humanities 214 (3):740-765.
    The behavior/structure methodological dichotomy as locus of scientific inquiry is closely related to the issue of modeling and theory change in scientific explanation. Given that the traditional tension between structure and behavior in scientific modeling is likely here to stay, considering the relevant precedents in the history of ideas could help us better understand this theoretical struggle. This better understanding might open up unforeseen possibilities and new instantiations, particularly in what concerns the proposed technological modification of the human condition. The (...)
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  25. Incremental Risk Charge Methodology.Tim Xiao - manuscript
    The incremental risk charge (IRC) is a new regulatory requirement from the Basel Committee in response to the recent financial crisis. Notably few models for IRC have been developed in the literature. This paper proposes a methodology consisting of two Monte Carlo simulations. The first Monte Carlo simulation simulates default, migration, and concentration in an integrated way. Combining with full re-valuation, the loss distribution at the first liquidity horizon for a subportfolio can be generated. The second Monte Carlo (...)
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  26. Foundations of an Ethical Framework for AI Entities: the Ethics of Systems.Andrej Dameski - 2020 - Dissertation, University of Luxembourg
    The field of AI ethics during the current and previous decade is receiving an increasing amount of attention from all involved stakeholders: the public, science, philosophy, religious organizations, enterprises, governments, and various organizations. However, this field currently lacks consensus on scope, ethico-philosophical foundations, or common methodology. This thesis aims to contribute towards filling this gap by providing an answer to the two main research questions: first, what theory can explain moral scenarios in which AI entities are participants?; and second, (...)
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  27. A defence of constructionism: philosophy as conceptual engineering.Luciano Floridi - 2011 - Metaphilosophy 42 (3):282-304.
    This article offers an account and defence of constructionism, both as a metaphilosophical approach and as a philosophical methodology, with references to the so-called maker's knowledge tradition. Its main thesis is that Plato's “user's knowledge” tradition should be complemented, if not replaced, by a constructionist approach to philosophical problems in general and to knowledge in particular. Epistemic agents know something when they are able to build (reproduce, simulate, model, construct, etc.) that something and plug the obtained information into the (...)
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  28. Laws of Form and the Force of Function: Variations on the Turing Test.Hajo Greif - 2012 - In Vincent C. Müller & Aladdin Ayesh (eds.), Revisiting Turing and His Test: Comprehensiveness, Qualia, and the Real World. AISB. pp. 60-64.
    This paper commences from the critical observation that the Turing Test (TT) might not be best read as providing a definition or a genuine test of intelligence by proxy of a simulation of conversational behaviour. Firstly, the idea of a machine producing likenesses of this kind served a different purpose in Turing, namely providing a demonstrative simulation to elucidate the force and scope of his computational method, whose primary theoretical import lies within the realm of mathematics rather than (...)
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  29. Analysis of minimal complex systems and complex problem solving require different forms of causal cognition.Joachim Funke - 2014 - Frontiers in Psychology 5.
    In the last 20 years, a stream of research emerged under the label of „complex problem solving“ (CPS). This research was intended to describe the way people deal with complex, dynamic, and intransparent situations. Complex computer-simulated scenarios were as stimulus material in psychological experiments. This line of research lead to subtle insights into the way how people deal with complexity and uncertainty. Besides these knowledge-rich, realistic, intransparent, complex, dynamic scenarios with many variables, a second line of research used more simple, (...)
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  30. Naturalism and simulationism in the philosophy of memory.Nikola Andonovski & Kourken Michaelian - 2024 - In Ali Hossein Khani, Gary Kemp, Hassan Amiriara & Hossein Sheykh Rezaee (eds.), Naturalism and its challenges. New York, NY: Routledge.
    In this chapter, we examine the naturalist approach in the philosophy of memory through the lens of the simulation theory of memory. On the theory, episodic memory is a kind of constructive simulation performed by a functionally specialized neurocognitive system. Taking naturalism to be a kind of methodological stance characterized by a cluster of epistemic guidelines, we illustrate the roles these guidelines have played in the development of the theory. We show how scientific evidence has guided both the (...)
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  31. The Cost of Prediction.Johannes Lenhard, Simon Stephan & Hans Hasse - manuscript
    This paper examines a looming reproducibility crisis in the core of the hard sciences. Namely, it concentrates on molecular modeling and simulation (MMS), a family of methods that predict properties of substances through computing interactions on a molecular level and that is widely popular in physics, chemistry, materials science, and engineering. The paper argues that in order to make quantitative predictions, sophisticated models are needed which have to be evaluated with complex simulation procedures that amalgamate theoretical, technological, and (...)
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  32. On evolution of thinking about semiosis: semiotics meets cognitive science.Piotr Konderak - 2017 - Avant: Trends in Interdisciplinary Studies 7 (2):82-103.
    The aim of the paper is to sketch an idea—seen from the point of view of a cognitive scientist—of cognitive semiotics as a discipline. Consequently, the article presents aspects of the relationship between the two disciplines: semiotics and cognitive science. The main assumption of the argumentation is that at least some semiotic processes are also cognitive processes. At the methodological level, this claim allows for application of cognitive models as explanations of selected semiotic processes. In particular, the processes of embedded (...)
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  33. Science Transformed?: Debating Claims of an Epochal Break.Alfred Nordmann, Hans Radder & Gregor Schiemann (eds.) - 2011 - University of Pittsburgh Press.
    Advancements in computing, instrumentation, robotics, digital imaging, and simulation modeling have changed science into a technology-driven institution. Government, industry, and society increasingly exert their influence over science, raising questions of values and objectivity. These and other profound changes have led many to speculate that we are in the midst of an epochal break in scientific history. -/- This edited volume presents an in-depth examination of these issues from philosophical, historical, social, and cultural perspectives. It offers arguments both for and (...)
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  34. Antithesis of Object Orientation: Occurrence-Only Modeling Applied in Engineering and Medicine.Sabah Al-Fedaghi - 2023
    This paper has a dual character, combining a philosophical ontological exploration with a conceptual modeling approach in systems and software engineering. Such duality is already practiced in software engineering, in which the current dominant modeling thesis is object orientation. This work embraces an anti-thesis that centers solely on the process rather than emphasizing the object. The approach is called occurrence-only modeling, in which an occurrence means an event or process where a process is defined as an orchestrated net of events (...)
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  35. Reverse-engineering in Cognitive-Science.Marcin Miłkowski - 2013 - In Marcin Miłkowski & Konrad Talmont-Kaminski (eds.), Regarding Mind, Naturally. Cambridge Scholars Press. pp. 12-29.
    I discuss whether there are some lessons for philosophical inquiry over the nature of simulation to be learnt from the practical methodology of reengineering. I will argue that reengineering serves a similar purpose as simulations in theoretical science such as computational neuroscience or neurorobotics, and that the procedures and heuristics of reengineering help to develop solutions to outstanding problems of simulation.
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  36. Observability of Turing Machines: a refinement of the theory of computation.Yaroslav Sergeyev & Alfredo Garro - 2010 - Informatica 21 (3):425–454.
    The Turing machine is one of the simple abstract computational devices that can be used to investigate the limits of computability. In this paper, they are considered from several points of view that emphasize the importance and the relativity of mathematical languages used to describe the Turing machines. A deep investigation is performed on the interrelations between mechanical computations and their mathematical descriptions emerging when a human (the researcher) starts to describe a Turing machine (the object of the study) by (...)
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  37. The role of emotions in complex problem solving.Miriam Spering, Dietrich Wagener & Joachim Funke - 2005 - Cognition and Emotion 19 (8):1252-1261.
    The assumption that positive affect leads to a better performance in simple cognitive tasks has become well established. We address the question whether positive and negative emotions differentially influence performance in complex problem-solving in the same way. Emotions were induced by positive or negative feedback in 74 participants who had to manage a computer-simulated complex problem-solving scenario. Results show that overall scenario performance is not affected, but positive and negative emotions elicit distinguishable problem-solving strategies: Participants with negative emotions are more (...)
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  38. The role of emotions in complex problem-solving.Miriam Spering, Daniel Wagener & Joachim Funke - 2005 - Cognition and Emotion 19:1252-1261.
    The assumption that positive affect leads to a better performance in simple cognitive tasks has become well established. We address the question whether positive and negative emotions differentially influence performance in complex problem-solving in the same way. Emotions were induced by positive or negative feedback in 74 participants who had to manage a computer-simulated complex problem-solving scenario. Results show that overall scenario performance is not affected, but positive and negative emotions elicit distinguishable problem-solving strategies: Participants with negative emotions are more (...)
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  39. Connecting Levels of Analysis in Educational Neuroscience: A Review of Multi-level Structure of Educational Neuroscience with Concrete Examples.Hyemin Han - 2019 - Trends in Neuroscience and Education 17:100113.
    In its origins educational neuroscience has started as an endeavor to discuss implications of neuroscience studies for education. However, it is now on its way to become a transdisciplinary field, incorporating findings, theoretical frameworks and methodologies from education, and cognitive and brain sciences. Given the differences and diversity in the originating disciplines, it has been a challenge for educational neuroscience to integrate both theoretical and methodological perspective in education and neuroscience in a coherent way. We present a multi-level framework for (...)
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  40. Brain in the Shell. Assessing the Stakes and the Transformative Potential of the Human Brain Project.Philipp Haueis & Jan Slaby - 2015 - In Philipp Haueis & Jan Slaby (eds.), Neuroscience and Critique. London: pp. 117–140.
    The “Human Brain Project” (HBP) is a large-scale European neuroscience and information communication technology (ICT) project that has been a matter of heated controversy since its inception. With its aim to simulate the entire human brain with the help of supercomputing technologies, the HBP plans to fundamentally change neuroscientific research practice, medical diagnosis, and eventually the use of computers itself. Its controversial nature and its potential impacts render the HBP a subject of crucial importance for critical studies of science and (...)
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  41. Relação custo-lucro e produtividade nas práticas culturais da cana-de-açúcar.Fernando Rodrigues de Amorim, Federico Del Giorgio Solfa & Timoteo Ramos Queiroz - 2024 - Journal of Management and Technology 24 (1):215-237.
    Objective of the study: To analyze the costs and profits of sugarcane production regarding the cultural practices of sugarcane suppliers. Methodology/approach: This study positions itself in this gap by comparatively analyzing 6 types of cultural practices: unraveling, windrowing, application of correctives, herbicides, insecticides and fertilizers, with the option of two systems Fixed rate (TF) and Variable rate (TV). Originality/Relevance: Brazil is a world reference in sugarcane production, with the State of São Paulo being the largest Brazilian producer. However, for (...)
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  42. Wired Bodies. New Perspectives on the Machine-Organism Analogy.Luca Tonetti & Cilia Nicole (eds.) - 2017 - Rome, Italy: CNR Edizioni.
    The machine-organism analogy has played a pivotal role in the history of Western philosophy and science. Notwithstanding its apparent simplicity, it hides complex epistemological issues about the status of both organism and machine and the nature of their interaction. What is the real object of this analogy: organisms as a whole, their parts or, rather, bodily functions? How can the machine serve as a model for interpreting biological phenomena, cognitive processes, or more broadly the social and cultural transformations of the (...)
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  43. Procedural Semantics and its Relevance to Paradox.Elbert Booij - forthcoming - Logic and Logical Philosophy:1-24.
    Two semantic paradoxes, the Liar and Curry’s paradox, are analysed using a newly developed conception of procedural semantics (semantics according to which the truth of propositions is determined algorithmically), whose main characteristic is its departure from methodological realism. Rather than determining pre-existing facts, procedures are constitutive of them. Of this semantics, two versions are considered: closed (where the halting of procedures is presumed) and open (without this presumption). To this end, a procedural approach to deductive reasoning is developed, based on (...)
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  44. Probability Guide to Gambling: The Mathematics of Dice, Slots, Roulette, Baccarat, Blackjack, Poker, Lottery and Sport Bets.Catalin Barboianu - 2006 - Craiova, Romania: Infarom.
    Over the past two decades, gamblers have begun taking mathematics into account more seriously than ever before. While probability theory is the only rigorous theory modeling the uncertainty, even though in idealized conditions, numerical probabilities are viewed not only as mere mathematical information, but also as a decision-making criterion, especially in gambling. This book presents the mathematics underlying the major games of chance and provides a precise account of the odds associated with all gaming events. It begins by explaining in (...)
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  45. Technical-economic aspects of the use of technological process of deforming broaching.Sergii Sardak & S. Sardak Y. Nemyrovskyi, E. Posvyatenko - 2020 - In Vitalil Ivanov, Justyna Trojanowska, Jose Machado, Oleksandr Liaposhchenko, Jozef Zajac, Ivan Pavlenko, Milan Edl & Dragan Perakovic (eds.), Advances in Design, Simulation and Manufacturing II Proceedings of the 2nd International Conference on Design, Simulation, Manufacturing: The Innovation Exchange, DSMIE-2019, June 11-14, 2019, Lutsk, Ukraine. Springer. pp. 238-247.
    The article gives a definition of the technical and economic potential of the application of the deforming broaching process. Research of the consequences of introducing deforming broaching into technological processes at manufacturing enterprises is carried out on the basis of application of system resource and matrix approach. On the basis of the performed researches, a methodological basis for the economic evaluation of the results of applying deforming broaching on the pro-duction has been developed. The article has improved the well-known scientific (...)
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  46. The exact (up to infinitesimals) infinite perimeter of the Koch snowflake and its finite area.Yaroslav Sergeyev - 2016 - Communications in Nonlinear Science and Numerical Simulation 31 (1-3):21–29.
    The Koch snowflake is one of the first fractals that were mathematically described. It is interesting because it has an infinite perimeter in the limit but its limit area is finite. In this paper, a recently proposed computational methodology allowing one to execute numerical computations with infinities and infinitesimals is applied to study the Koch snowflake at infinity. Numerical computations with actual infinite and infinitesimal numbers can be executed on the Infinity Computer being a new supercomputer patented in USA (...)
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  47. A type of simulation which some experimental evidence suggests we don't live in.Samuel Alexander - 2018 - The Reasoner 12 (7):56-56.
    Do we live in a computer simulation? I will present an argument that the results of a certain experiment constitute empirical evidence that we do not live in, at least, one type of simulation. The type of simulation ruled out is very specific. Perhaps that is the price one must pay to make any kind of Popperian progress.
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  48. The Termination Risks of Simulation Science.Preston Greene - 2020 - Erkenntnis 85 (2):489-509.
    Historically, the hypothesis that our world is a computer simulation has struck many as just another improbable-but-possible “skeptical hypothesis” about the nature of reality. Recently, however, the simulation hypothesis has received significant attention from philosophers, physicists, and the popular press. This is due to the discovery of an epistemic dependency: If we believe that our civilization will one day run many simulations concerning its ancestry, then we should believe that we are probably in an ancestor simulation right (...)
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  49. Methodologies of Kelp: On Feminist Posthumanities, Transversal Knowledge Production and Multispecies Ethics in an Age of Entanglement.Cecilia Åsberg, Janna Holmstedt & Marietta Radomska - 2020 - In H. Mehti, N. Cahoon & A. Wolfsberger (eds.), The Kelp Congress. pp. 11-23.
    We take kelp as material entities immersed in a multitude of relations with other creatures (for whom kelp serves as both nourishment and shelter) and inorganic elements of the milieu it resides in, on the one hand, and as a figuration: a material-semiotic “map of contestable worlds” that encompasses entangled threads of “knowledge, practice and power” (Haraway 1997, 11) in its local and global sense, on the other. While drawing on our field notes from the congress and feminist posthumanities and (...)
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  50. Methodology of the Sciences.Lydia Patton - 2015 - In Michael N. Forster & Kristin Gjesdal (eds.), Oxford Handbook of German Philosophy in the Nineteenth Century. Oxford: Oxford University Press. pp. 594-606.
    In the growing Prussian university system of the early nineteenth century, "Wissenschaft" (science) was seen as an endeavor common to university faculties, characterized by a rigorous methodology. On this view, history and jurisprudence are sciences, as much as is physics. Nineteenth century trends challenged this view: the increasing influence of materialist and positivist philosophies, profound changes in the relationships between university faculties, and the defense of Kant's classification of the sciences by neo-Kantians. Wilhelm Dilthey's defense of the independence of (...)
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