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Science without Laws

Mind 111 (441):111-114 (2002)

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  1. The Mathematics of High School Physics.Nikos Kanderakis - 2016 - Science & Education 25 (7-8):837-868.
    In the seventeenth and eighteenth centuries, mathematicians and physical philosophers managed to study, via mathematics, various physical systems of the sublunar world through idealized and simplified models of these systems, constructed with the help of geometry. By analyzing these models, they were able to formulate new concepts, laws and theories of physics and then through models again, to apply these concepts and theories to new physical phenomena and check the results by means of experiment. Students’ difficulties with the mathematics of (...)
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  • Using Computer Simulations for Promoting Model-based Reasoning.Maria Develaki - 2017 - Science & Education 26 (7-9):1001-1027.
    Scientific reasoning is particularly pertinent to science education since it is closely related to the content and methodologies of science and contributes to scientific literacy. Much of the research in science education investigates the appropriate framework and teaching methods and tools needed to promote students’ ability to reason and evaluate in a scientific way. This paper aims to contribute to an extended understanding of the nature and pedagogical importance of model-based reasoning and to exemplify how using computer simulations can support (...)
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  • Epistemological Issues Concerning Computer Simulations in Science and Their Implications for Science Education.Ileana M. Greca, Eugenia Seoane & Irene Arriassecq - 2014 - Science & Education 23 (4):897-921.
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  • Thought Experiments: Determining Their Meaning.Igal Galili - 2009 - Science & Education 18 (1):1-23.
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  • A Law of Physics in the Classroom: The Case of Ohm’s Law.Nahum Kipnis - 2009 - Science & Education 18 (3-4):349-382.
    Difficulties in learning Ohm’s Law suggest a need to refocus it from the law for a part of the circuit to the law for the whole circuit. Such a revision may improve understanding of Ohm’s Law and its practical applications. This suggestion comes from analysis of the history of the law’s discovery and its teaching. The historical materials this paper provides can also help teacher to improve students’ insights into the nature of science.
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  • Models and perspectives on stage: remarks on Giere’s Scientific perspectivism.Matthew J. Brown - 2009 - Studies in History and Philosophy of Science Part A 40 (2):213-220.
    Ron Giere’s recent book Scientific perspectivism sets out an account of science that attempts to forge a via media between two popular extremes: absolutist, objectivist realism on the one hand, and social constructivism or skeptical anti-realism on the other. The key for Giere is to treat both scientific observation and scientific theories as perspectives, which are limited, partial, contingent, context-, agent- and purpose-dependent, and pluralism-friendly, while nonetheless world-oriented and modestly realist. Giere’s perspectivism bears significant similarity to earlier ideas of Paul (...)
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  • Imagination in scientific modeling.Adam Toon - 2016 - In Amy Kind (ed.), The Routledge Handbook of the Philosophy of Imagination. New York: Routledge. pp. 451-462.
    Modeling is central to scientific inquiry. It also depends heavily upon the imagination. In modeling, scientists seem to turn their attention away from the complexity of the real world to imagine a realm of perfect spheres, frictionless planes and perfect rational agents. Modeling poses many questions. What are models? How do they relate to the real world? Recently, a number of philosophers have addressed these questions by focusing on the role of the imagination in modeling. Some have also drawn parallels (...)
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  • Laws Are Not Descriptions.Federico Laudisa - 2015 - International Studies in the Philosophy of Science 29 (3):251-270.
    The view that takes laws of nature to be essentially nothing more than descriptions of facts is still rather popular. The present article, on the contrary, defends the claim that the only real motivation for defending a descriptive view of laws—the quest for ontological parsimony—entails too high a price to pay in philosophical terms. It is argued that nomic primitivism, namely the alternative option that takes laws to be primitive fundamental entities in our ontology, is decisively more appealing, since it (...)
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  • Missing systems and the face value practice.Martin Thomson-Jones - 2010 - Synthese 172 (2):283-299.
    Call a bit of scientific discourse a description of a missing system when (i) it has the surface appearance of an accurate description of an actual, concrete system (or kind of system) from the domain of inquiry, but (ii) there are no actual, concrete systems in the world around us fitting the description it contains, and (iii) that fact is recognised from the outset by competent practitioners of the scientific discipline in question. Scientific textbooks, classroom lectures, and journal articles abound (...)
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  • The ontology of theoretical modelling: models as make-believe.Adam Toon - 2010 - Synthese 172 (2):301-315.
    The descriptions and theoretical laws scientists write down when they model a system are often false of any real system. And yet we commonly talk as if there were objects that satisfy the scientists’ assumptions and as if we may learn about their properties. Many attempt to make sense of this by taking the scientists’ descriptions and theoretical laws to define abstract or fictional entities. In this paper, I propose an alternative account of theoretical modelling that draws upon Kendall Walton’s (...)
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  • Who’s Afraid of Nagelian Reduction?Foad Dizadji-Bahmani, Roman Frigg & Stephan Hartmann - 2010 - Erkenntnis 73 (3):393-412.
    We reconsider the Nagelian theory of reduction and argue that, contrary to a widely held view, it is the right analysis of intertheoretic reduction. The alleged difficulties of the theory either vanish upon closer inspection or turn out to be substantive philosophical questions rather than knock-down arguments.
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  • The Practical Value of Biological Information for Research.Beckett Sterner - 2014 - Philosophy of Science 81 (2):175-194,.
    Many philosophers are skeptical about the scientific value of the concept of biological information. However, several have recently proposed a more positive view of ascribing information as an exercise in scientific modeling. I argue for an alternative role: guiding empirical data collection for the sake of theorizing about the evolution of semantics. I clarify and expand on Bergstrom and Rosvall’s suggestion of taking a “diagnostic” approach that defines biological information operationally as a procedure for collecting empirical cases. The more recent (...)
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  • Simulated experiments: Methodology for a virtual world.Winsberg Eric - 2003 - Philosophy of Science 70 (1):105-125.
    This paper examines the relationship between simulation and experiment. Many discussions of simulation, and indeed the term "numerical experiments," invoke a strong metaphor of experimentation. On the other hand, many simulations begin as attempts to apply scientific theories. This has lead many to characterize simulation as lying between theory and experiment. The aim of the paper is to try to reconcile these two points of viewto understand what methodological and epistemological features simulation has in common with experimentation, while at the (...)
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  • Concepts of Law of Nature.Brendan Shea - 2011 - Dissertation, University of Illinois
    Over the past 50 years, there has been a great deal of philosophical interest in laws of nature, perhaps because of the essential role that laws play in the formulation of, and proposed solutions to, a number of perennial philosophical problems. For example, many have thought that a satisfactory account of laws could be used to resolve thorny issues concerning explanation, causation, free-will, probability, and counterfactual truth. Moreover, interest in laws of nature is not constrained to metaphysics or philosophy of (...)
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  • Inductive Justification and Discovery. On Hans Reichenbach’s Foundation of the Autonomy of the Philosophy of Science.Gregor Schiemann - 2002 - In Schickore J. & Steinle F. (eds.), Revisiting Discovery and Justification. Max-Planck-Institut. pp. 23-39.
    I would like to assume that Reichenbach's distinction of Justification and Discovery lives on, and to seek arguments in his texts that would justify their relevance in this field. The persuasive force of these arguments transcends the contingent circumstances apart from which their genesis and local transmission cannot be made understandable. I shall begin by characterizing the context distinction as employed by Reichenbach in "Experience and Prediction" to differentiate between epistemology and science (1). Following Thomas Nickles and Kevin T. Kelly, (...)
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  • Plantinga on Providence and Physics.Hans Halvorson - 2013 - European Journal for Philosophy of Religion 5 (3):19--30.
    Discussion of Alvin Plantinga's book, "Where the Conflict Really Lies".
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  • How much work do scientific images do?Stephen Downes - 2012 - Spontaneous Generations 6 (1):115-130.
    In this paper, I defend the view that there are many scientific images that have a serious epistemic role in science but this role is not adequately accounted for by the going view of representation and its attendant theoretical commitments. The relevant view of representation is Laura Perini’s account of representation for scientific images. I draw on Adina Roskies’ work on scientific images as well as work on models in science to support my conclusion.
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  • ‘On the Different Ways of ‘‘Doing Theory’’ in Biology‘.Massimo Pigliucci - 2013 - Biological Theory 7 (4): 287-297.
    ‘‘Theoretical biology’’ is a surprisingly heter- ogeneous field, partly because it encompasses ‘‘doing the- ory’’ across disciplines as diverse as molecular biology, systematics, ecology, and evolutionary biology. Moreover, it is done in a stunning variety of different ways, using anything from formal analytical models to computer sim- ulations, from graphic representations to verbal arguments. In this essay I survey a number of aspects of what it means to do theoretical biology, and how they compare with the allegedly much more restricted (...)
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  • Classificatory Theory in Data-intensive Science: The Case of Open Biomedical Ontologies.Sabina Leonelli - 2012 - International Studies in the Philosophy of Science 26 (1):47 - 65.
    Knowledge-making practices in biology are being strongly affected by the availability of data on an unprecedented scale, the insistence on systemic approaches and growing reliance on bioinformatics and digital infrastructures. What role does theory play within data-intensive science, and what does that tell us about scientific theories in general? To answer these questions, I focus on Open Biomedical Ontologies, digital classification tools that have become crucial to sharing results across research contexts in the biological and biomedical sciences, and argue that (...)
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  • How to be a successful scientist.Paul Thagard - 2005 - In M. Gorman, R. Tweney, D. Gooding & A. Kincannon (eds.), Scientific and Technological Thinking. Erlbaum. pp. 159--171.
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  • A better best system account of lawhood.Jonathan Cohen & Craig Callender - 2009 - Philosophical Studies 145 (1):1 - 34.
    Perhaps the most significant contemporary theory of lawhood is the Best System (/MRL) view on which laws are true generalizations that best systematize knowledge. Our question in this paper will be how best to formulate a theory of this kind. We’ll argue that an acceptable MRL should (i) avoid inter-system comparisons of simplicity, strength, and balance, (ii) make lawhood epistemically accessible, and (iii) allow for laws in the special sciences. Attention to these problems will bring into focus a useful menu (...)
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  • (1 other version)A Theory of Hedged Moral Principles.Pekka Väyrynen - 2009 - In Russ Shafer-Landau (ed.), Oxford Studies in Metaethics: Volume 4. Oxford University Press. pp. 91-132.
    This paper offers a general model of substantive moral principles as a kind of hedged moral principles that can (but don't have to) tolerate exceptions. I argue that the kind of principles I defend provide an account of what would make an exception to them permissible. I also argue that these principles are nonetheless robustly explanatory with respect to a variety of moral facts; that they make sense of error, uncertainty, and disagreement concerning moral principles and their implications; and that (...)
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  • A philosophy of science for the twenty‐first century.Janet A. Kourany - 2003 - Philosophy of Science 70 (1):1-14.
    Two major reasons feminists are concerned with science relate to science's social effects: that science can be a powerful ally in the struggle for equality for women; and that all too frequently science has been a generator and perpetuator of inequality. This concern with the social effects of science leads feminists to a different mode of appraising science from the purely epistemic one prized by most contemporary philosophers of science. The upshot, I suggest, is a new program for philosophy of (...)
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  • Getting Rid of Derivational Redundancy or How to Solve Kuhn’s Problem.Rens Bod - 2007 - Minds and Machines 17 (1):47-66.
    This paper deals with the problem of derivational redundancy in scientific explanation, i.e. the problem that there can be extremely many different explanatory derivations for a natural phenomenon while students and experts mostly come up with one and the same derivation for a phenomenon (modulo the order of applying laws). Given this agreement among humans, we need to have a story of how to select from the space of possible derivations of a phenomenon the derivation that humans come up with. (...)
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  • (1 other version)Mechanisms and psychological explanation.Cory Wright & William Bechtel - 2006 - In Paul Thagard (ed.), Handbook of the Philosophy of Psychology and Cognitive Science. Elsevier.
    As much as assumptions about mechanisms and mechanistic explanation have deeply affected psychology, they have received disproportionately little analysis in philosophy. After a historical survey of the influences of mechanistic approaches to explanation of psychological phenomena, we specify the nature of mechanisms and mechanistic explanation. Contrary to some treatments of mechanistic explanation, we maintain that explanation is an epistemic activity that involves representing and reasoning about mechanisms. We discuss the manner in which mechanistic approaches serve to bridge levels rather than (...)
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  • Scientific representation: Against similarity and isomorphism.Mauricio Suárez - 2003 - International Studies in the Philosophy of Science 17 (3):225-244.
    I argue against theories that attempt to reduce scientific representation to similarity or isomorphism. These reductive theories aim to radically naturalize the notion of representation, since they treat scientist's purposes and intentions as non-essential to representation. I distinguish between the means and the constituents of representation, and I argue that similarity and isomorphism are common but not universal means of representation. I then present four other arguments to show that similarity and isomorphism are not the constituents of scientific representation. I (...)
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  • Rumos da Epistemologia v. 11.Luiz Dutra & Alexandre Meyer Luz (eds.) - 2011 - Núcleo de Epistemologia e Lógica.
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  • A cognitive perspective on scientific realism.Michael Vlerick - 2019 - Philosophical Psychology 32 (8):1157-1178.
    The debate about scientific realism is concerned with the relation between our scientific theories and the world. Scientific realists argue that our best theories or components of those theories correspond to the world. Anti-realists deny such a correspondence. Traditionally, this central issue in the philosophy of science has been approached by focusing on the theories themselves (e.g., by looking at theory change or the underlying experimental context). I propose a relatively unexplored way to approach this old debate. In addition to (...)
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  • The Inductive Route Towards Necessity.Quentin Ruyant - 2020 - Acta Analytica 35 (2):147-163.
    It is generally assumed that relations of necessity cannot be known by induction on experience. In this paper, I propose a notion of situated possibilities, weaker than nomic possibilities, that is compatible with an inductivist epistemology for modalities. I show that assuming this notion, not only can relations of necessity be known by induction on our experience, but such relations cannot be any more underdetermined by experience than universal regularities. This means that any one believing in a universal regularity is (...)
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  • Reason, causation and compatibility with the phenomena.Basil Evangelidis - 2019 - Wilmington, Delaware, USA: Vernon Press.
    'Reason, Causation and Compatibility with the Phenomena' strives to give answers to the philosophical problem of the interplay between realism, explanation and experience. This book is a compilation of essays that recollect significant conceptions of rival terms such as determinism and freedom, reason and appearance, power and knowledge. This title discusses the progress made in epistemology and natural philosophy, especially the steps that led from the ancient theory of atomism to the modern quantum theory, and from mathematization to analytic philosophy. (...)
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  • Epistemology for interdisciplinary research – shifting philosophical paradigms of science.Mieke Boon & Sophie Van Baalen - 2018 - European Journal for Philosophy of Science 9 (1):16.
    In science policy, it is generally acknowledged that science-based problem-solving requires interdisciplinary research. For example, policy makers invest in funding programs such as Horizon 2020 that aim to stimulate interdisciplinary research. Yet the epistemological processes that lead to effective interdisciplinary research are poorly understood. This article aims at an epistemology for interdisciplinary research, in particular, IDR for solving ‘real-world’ problems. Focus is on the question why researchers experience cognitive and epistemic difficulties in conducting IDR. Based on a study of educational (...)
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  • Functional Analyses, Mechanistic Explanations, and Explanatory Tradeoffs.Sergio Daniel Barberis - 2013 - Journal of Cognitive Science 14:229-251.
    Recently, Piccinini and Craver have stated three theses concerning the relations between functional analysis and mechanistic explanation in cognitive sciences: No Distinctness: functional analysis and mechanistic explanation are explanations of the same kind; Integration: functional analysis is a kind of mechanistic explanation; and Subordination: functional analyses are unsatisfactory sketches of mechanisms. In this paper, I argue, first, that functional analysis and mechanistic explanations are sub-kinds of explanation by scientific (idealized) models. From that point of view, we must take into account (...)
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  • Invisible disagreement: an inverted qualia argument for realism.Justin Donhauser - 2017 - Philosophical Studies 174 (3):593-606.
    Scientific realists argue that a good track record of multi-agent, and multiple method, validation of empirical claims is itself evidence that those claims, at least partially and approximately, reflect ways nature actually is independent of the ways we conceptualize it. Constructivists contend that successes in validating empirical claims only suffice to establish that our ways of modelling the world, our “constructions,” are useful and adequate for beings like us. This essay presents a thought experiment in which beings like us intersubjectively (...)
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  • Second-Order Science of Interdisciplinary Research: A Polyocular Framework for Wicked Problems.Hugo F. Alrøe & E. Noe - 2014 - Constructivist Foundations 10 (1):65-76.
    Context: The problems that are most in need of interdisciplinary collaboration are “wicked problems,” such as food crises, climate change mitigation, and sustainable development, with many relevant aspects, disagreement on what the problem is, and contradicting solutions. Such complex problems both require and challenge interdisciplinarity. Problem: The conventional methods of interdisciplinary research fall short in the case of wicked problems because they remain first-order science. Our aim is to present workable methods and research designs for doing second-order science in domains (...)
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  • Ceteris Paribus Laws: A Naturalistic Account.Robert Kowalenko - 2014 - International Studies in the Philosophy of Science 28 (2):133-155.
    An otherwise lawlike generalisation hedged by a ceteris paribus (CP) clause qualifies as a law of nature, if the CP clause can be substituted with a set of conditions derived from the multivariate regression model used to interpret the empirical data in support of the gen- eralisation. Three studies in human biology that use regression analysis are surveyed, showing that standard objections to cashing out CP clauses in this way—based on alleged vagueness, vacuity, or lack of testability—do not apply. CP (...)
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  • Feminist Philosophy of Science.Lynn Hankinson Nelson - 2002 - In Peter K. Machamer & Michael Silberstein (eds.), The Blackwell guide to the philosophy of science. Malden, Mass.: Blackwell. pp. 312–331.
    This chapter contains sections titled: Highlights of Past Literature Current Work Future Work.
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  • The Value of Genetic Fallacies.Andrew C. Ward - 2010 - Informal Logic 30 (1):1-33.
    Since at least the 1938 publication of Hans Reichenbach’s Experience and Predication , there has been widespread agreement that, when discussing the beliefs that people have, it is important to distinguish contexts of discovery and contexts of justification. Traditionally, when one conflates the two contexts, the result is a “genetic fallacy”. This paper examines genealogical critiques and addresses the question of whether such critiques are fallacious and, if so, whether this vitiates their usefulness. The paper concludes that while there may (...)
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  • The Realism/Antirealism Debate in the Philosophy of Science.Radu Dudau - unknown
    This is a defense of the doctrine of scientific realism. SR is defined through the following two claims: Most essential unobservables posited by the well-established current scientific theories exist independently of our minds. We know our well-established scientific theories to be approximately true. I first offer positive argumentation for SR. I begin with the so-called 'success arguments' for SR: 1) scientific theories most of the times entail successful predictions; 2) science is methodologically successful in generating empirically successful theories. SR explains (...)
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  • (2 other versions)Scientific Realism, the Galilean Strategy, and Representation.Mauricio Suárez - 2009 - Poznan Studies in the Philosophy of the Sciences and the Humanities 101 (1):269-292.
    This paper critically reviews Philip Kitcher's most recent epistemology of science, real realism . I argue that this view is unstable under different understandings of the term 'representation', and that the arguments offered for the position are either unsound or invalid depending on the understanding employed. Suitably modified those arguments are however convincing in favor of a deflationary version of real realism, which I refer to as the bare view . The bare view accepts Kitcher's Galilean strategy, and the ensuing (...)
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  • Probing the improbable: Methodological challenges for risks with low probabilities and high stakes.Toby Ord, Rafaela Hillerbrand & Anders Sandberg - 2010 - Journal of Risk Research 13:191-205.
    Some risks have extremely high stakes. For example, a worldwide pandemic or asteroid impact could potentially kill more than a billion people. Comfortingly, scientific calculations often put very low probabilities on the occurrence of such catastrophes. In this paper, we argue that there are important new methodological problems which arise when assessing global catastrophic risks and we focus on a problem regarding probability estimation. When an expert provides a calculation of the probability of an outcome, they are really providing the (...)
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  • An agent-based conception of models and scientific representation.Ronald N. Giere - 2010 - Synthese 172 (2):269–281.
    I argue for an intentional conception of representation in science that requires bringing scientific agents and their intentions into the picture. So the formula is: Agents (1) intend; (2) to use model, M; (3) to represent a part of the world, W; (4) for some purpose, P. This conception legitimates using similarity as the basic relationship between models and the world. Moreover, since just about anything can be used to represent anything else, there can be no unified ontology of models. (...)
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  • Idealized, inaccurate but successful: A pragmatic approach to evaluating models in theoretical ecology. [REVIEW]Jay Odenbaugh - 2005 - Biology and Philosophy 20 (2-3):231-255.
    Ecologists attempt to understand the diversity of life with mathematical models. Often, mathematical models contain simplifying idealizations designed to cope with the blooming, buzzing confusion of the natural world. This strategy frequently issues in models whose predictions are inaccurate. Critics of theoretical ecology argue that only predictively accurate models are successful and contribute to the applied work of conservation biologists. Hence, they think that much of the mathematical work of ecologists is poor science. Against this view, I argue that model (...)
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  • Science and the Common Good: Thoughts on Philip Kitcher’s S cience, Truth, and Democracy.Helen E. Longino - 2002 - Philosophy of Science 69 (4):560-568.
    In Science, Truth, and Democracy, Philip Kitcher develops the notion of well-ordered science: scientific inquiry whose research agenda and applications are subject to public control guided by democratic deliberation. Kitcher's primary departure from his earlier views involves rejecting the idea that there is any single standard of scientific significance. The context-dependence of scientific significance opens up many normative issues to philosophical investigation and to resolution through democratic processes. Although some readers will feel Kitcher has not moved far enough from earlier (...)
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  • Laws, symmetry, and symmetry breaking: Invariance, conservation principles, and objectivity.John Earman - 2004 - Philosophy of Science 71 (5):1227--1241.
    Given its importance in modern physics, philosophers of science have paid surprisingly little attention to the subject of symmetries and invariances, and they have largely neglected the subtopic of symmetry breaking. I illustrate how the topic of laws and symmetries brings into fruitful interaction technical issues in physics and mathematics with both methodological issues in philosophy of science, such as the status of laws of physics, and metaphysical issues, such as the nature of objectivity.
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  • Basic ontology and the ontology of the phenomenological life world: A proposal.Wim Christiaens - 2006 - Foundations of Science 11 (3):249-274.
    The condition of explicit theoretically discursive cognitive performance, as it culminates in scientific activity, is, I claim, the life world. I contrast life world and scientific world and argue that the latter arises from the first and that contrary to the prevailing views the scientific world (actually, worlds, since the classical world is substantially different from the quantum world) finds its completion in the life world and not the other way around. In other words: the closure we used to search (...)
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  • When scientific models represent.Daniela M. Bailer-Jones - 2003 - International Studies in the Philosophy of Science 17 (1):59 – 74.
    Scientific models represent aspects of the empirical world. I explore to what extent this representational relationship, given the specific properties of models, can be analysed in terms of propositions to which truth or falsity can be attributed. For example, models frequently entail false propositions despite the fact that they are intended to say something "truthful" about phenomena. I argue that the representational relationship is constituted by model users "agreeing" on the function of a model, on the fit with data and (...)
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  • (1 other version)Explanation and the hard problem.Wayne Wright - 2007 - Philosophical Studies 132 (2):301-330.
    This paper argues that the form of explanation at issue in the hard problem of consciousness is scientifically irrelevant, despite appearances to the contrary. In particular, it is argued that the 'sense of understanding' that plays a critical role in the form of explanation implicated in the hard problem provides neither a necessary nor a sufficient condition on satisfactory scientific explanation. Considerations of the actual tools and methods available to scientists are used to make the case against it being a (...)
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  • Normativity in the Philosophy of Science.Marie I. Kaiser - 2019 - Metaphilosophy 50 (1-2):36-62.
    This paper analyzes what it means for philosophy of science to be normative. It argues that normativity is a multifaceted phenomenon rather than a general feature that a philosophical theory either has or lacks. It analyzes the normativity of philosophy of science by articulating three ways in which a philosophical theory can be normative. Methodological normativity arises from normative assumptions that philosophers make when they select, interpret, evaluate, and mutually adjust relevant empirical information, on which they base their philosophical theories. (...)
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  • Cancer Modeling: the Advantages and Limitations of Multiple Perspectives.A. Plutynski - 2020 - In Michela Massimi & Casey D. McCoy (eds.), Understanding Perspectivism (Open Access): Scientific Challenges and Methodological Prospects. New York, NY, USA: Routledge.
    Cancer is a paradigmatic case of a complex causal process; causes of cancer operate at a variety of temporal and spatial scales, and the respects in which these causes act and interact are diverse. There are, for instance, temporal order effects, organizational effects, structural effects, and dynamic relationships between causes operating at different temporal and spatial scales. Because of this complexity, models of cancer initiation and progression often involve deliberate choices to focus on one time scale, one causal pathway, or (...)
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  • Argumentation in Science Education: A Model-based Framework.Florian Böttcher & Anke Meisert - 2011 - Science & Education 20 (2):103-140.
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