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  1. Categories, life, and thinking.Michael T. Ghiselin - 1981 - Behavioral and Brain Sciences 4 (2):269-283.
    Classifying is a fundamental operation in the acquisition of knowledge. Taxonomic theory can help students of cognition, evolutionary psychology, ethology, anatomy, and sociobiology to avoid serious mistakes, both practical and theoretical. More positively, it helps in generating hypotheses useful to a wide range of disciplines. Composite wholes, such as species and societies, are “individuals” in the logical sense, and should not be treated as if they were classes. A group of analogous features is a natural kind, but a group of (...)
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  • The Sharing Economy in Europe: Developments, Practices, and Contradictions.Vida Česnuitytė, Andrzej Klimczuk, Cristina Miguel & Gabriela Avram (eds.) - 2022 - Cham: Palgrave Macmillan.
    This open access book considers the development of the sharing and collaborative economy with a European focus, mapping across economic sectors, and country-specific case studies. It looks at the roles the sharing economy plays in sharing and redistribution of goods and services across the population in order to maximise their functionality, monetary exchange, and other aspects important to societies. It also looks at the place of the sharing economy among various policies and how the contexts of public policies, legislation, digital (...)
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  • The metaphysics of individuality and its consequences for systematic biology.E. O. Wiley - 1981 - Behavioral and Brain Sciences 4 (2):302-303.
  • Forschung AlS innovatives system: Entwurf einer integrativen sehweise, die modelle erstellt zur beschreibung und kritik Von forschungsprozessen.Håkan Törnebohm & Gerard Radnitzky - 1971 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 2 (2):239-290.
    Summary Research is regarded as transformations of complexes composed of knowledge, problems and (hardware and software) instruments. Sequences of such transformations are embedded in human settings in which they are given directions. Problems and the work of solving them are divided into empirical and theoretical ones. In an advanced science like physics empirical and theoretical work are interrelated by means of flows of problem-generating information. Empirical and theoretical researchers work also on problems of their own making. Residuals of knowledge which (...)
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  • The Social Psychology of “Pseudoscience”: A Brief History.Arthur Still & Windy Dryden - 2004 - Journal for the Theory of Social Behaviour 34 (3):265-290.
    The word ‘pseudoscience’ is a marker of changing worries about science and being a scientist. It played an important role in the philosophical debate on demarcating science from other activities, and was used in popular writings to distance science from cranky theories with scientific pretensions. These uses consolidated a comforting unity in science, a communal space from which pseudoscience is excluded, and the user's right to belong is asserted. The urgency of this process dwindled when attempts to find a formal (...)
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  • Sociological Languages.Nico Stehr - 1982 - Philosophy of the Social Sciences 12 (1):47-57.
  • Towards a theory of openness to criticism.Tom Settle, I. C. Jarvie & Joseph Agassi - 1974 - Philosophy of the Social Sciences 4 (1):83-90.
  • Natural kinds.Stephen P. Schwartz - 1981 - Behavioral and Brain Sciences 4 (2):301-302.
  • The mechanisms of emergence.R. Keith Sawyer - 2004 - Philosophy of the Social Sciences 34 (2):260-282.
    This article focuses on emergence in social systems. The author begins by proposing a new tool to explore the mechanisms of social emergence: multi agent–based computer simulation. He then draws on philosophy of mind to develop an account of social emergence that raises potential problems for the methodological individualism of both social mechanism and of multi agent simulation. He then draws on various complexity concepts to propose a set of criteria whereby one can determine whether a given social mechanism generates (...)
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  • The world represented as a hierarchy of nature may not require “species”.Stanley N. Salthe - 1981 - Behavioral and Brain Sciences 4 (2):300-301.
  • Hierarchical structures.Stanley N. Salthe - 2012 - Axiomathes 22 (3):355 - 383.
    This paper compares the two known logical forms of hierarchy, both of which have been used in models of natural phenomena, including the biological. I contrast their general properties, internal formal relations, modes of growth (emergence) in applications to the natural world, criteria for applying them, the complexities that they embody, their dynamical relations in applied models, and their informational relations and semiotic aspects.
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  • Species as individuals: Logical, biological, and philosophical problems.Michael Ruse - 1981 - Behavioral and Brain Sciences 4 (2):299-300.
  • Typologies: Obstacles and opportunities in scientific change.Alexander Rosenberg - 1981 - Behavioral and Brain Sciences 4 (2):298-299.
  • The demise of mental representations.Edward S. Reed - 1981 - Behavioral and Brain Sciences 4 (2):297-298.
  • Towards a system philosophy of scientific research.Gerard Radnitzky - 1974 - Philosophy of the Social Sciences 4 (3):369-398.
    Can research be studied in a way that is neither logical reconstruction nor empirical psychology or sociology of science? In contemporary philosophy of science this is usually denied—in spite of the recent 'paradigm shift' there. A system-philosophy approach in theory of research is outlined by means of some models : a research enterprise is viewed as a productive, innovative system, the research process as a transformation of complexes of knowledge-problems-instruments (software and hard ware). The direction this development takes is guided (...)
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  • Taxonomy is older than thinking: Epigenetic decisions.Andrew Packard - 1981 - Behavioral and Brain Sciences 4 (2):296-297.
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  • Units “of” selection: The end of “of”?F. J. Odling-Smee & H. C. Plotkin - 1981 - Behavioral and Brain Sciences 4 (2):295-296.
  • What is a problem that we may solve it.Thomas Nickles - 1981 - Synthese 47 (1):85 - 118.
  • Experimental Control of Simple Pendulum Model.César Medina - 2004 - Science & Education 13 (7-8):631-640.
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  • Unifying foundations – to be seen in the phenomenon of language.Lars Löfgren - 2004 - Foundations of Science 9 (2):135-189.
    Scientific knowledge develops in an increasingly fragmentary way.A multitude of scientific disciplines branch out. Curiosity for thisdevelopment leads into quests for a unifying understanding. To a certain extent, foundational studies provide such unification. There is a tendency, however, also of a fragmentary growth of foundational studies, like in a multitude of disciplinaryfoundations. We suggest to look at the foundational problem, not primarily as a search for foundations for one discipline in another, as in some reductionist approach, but as a steady (...)
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  • Higher-Level Perspectives and Ethics of Technoscience: Scheme Dynamics for an Action-, Technology-Shaped and Responsibility-Oriented Philosophy of Science.Hans Lenk - 2018 - Axiomathes 28 (6):619-637.
    New accents in the philosophy of technology and philosophy of science amounting, e.g., to the so-called schools of the “New Experimentalism”, “New Instrumentalism” and, recently, “New Mechanism” emphasize the impact of instruments, experiments, and “mechanisms” of the respective technologies opened up by the progress of ever-improving measuring instruments, procedures etc. In addition, it would be necessary to accentuate the process- and action-orientation including practical responsibility problems and dynamic systems models from an epistemological perspective of the methodological scheme-interpretationist approach developed by (...)
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  • What does Ghiselin mean by “individual”?Joseph B. Kruskal - 1981 - Behavioral and Brain Sciences 4 (2):294-295.
  • Interrogatives, problems and scientific inquiry.Scott A. Kleiner - 1985 - Synthese 62 (3):365 - 428.
  • An aspect of the logic of discovery.Scott A. Kleiner - 1983 - Southern Journal of Philosophy 21 (4):513-536.
  • The Mechanisms of Emergence.R. Keith Sawyer - 2004 - Philosophy of the Social Sciences 34 (2):260-282.
    This article focuses on emergence in social systems. The author begins by proposing a new tool to explore the mechanisms of social emergence: multi agent–based computer simulation. He then draws on philosophy of mind to develop an account of social emergence that raises potential problems for the methodological individualism of both social mechanism and of multi agent simulation. He then draws on various complexity concepts to propose a set of criteria whereby one can determine whether a given social mechanism generates (...)
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  • Natural categories and natural concepts.Frank C. Keil - 1981 - Behavioral and Brain Sciences 4 (2):293-294.
  • Categorization and affordances.Rebecca K. Jones & Anne D. Pick - 1981 - Behavioral and Brain Sciences 4 (2):292-293.
  • ‘Species-typicality’: Can individuals have typical parts?Timothy D. Johnston - 1981 - Behavioral and Brain Sciences 4 (2):291-292.
  • Limits to problem solving in science.Struan Jacobs - 2001 - International Studies in the Philosophy of Science 15 (3):231 – 242.
    Popper, Polanyi and Duncker represent the widely held position that theoretical and experimental scientific research are motivated by problems to which discoveries are solutions. According to the argument here, their views are unsupported and - in light of counter-instances, anomalous chance discoveries, and the force of curiosity - over-generalized.
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  • Theory Status, Inductive Realism, and Approximate Truth: No Miracles, No Charades.Shelby D. Hunt - 2011 - International Studies in the Philosophy of Science 25 (2):159 - 178.
    The concept of approximate truth plays a prominent role in most versions of scientific realism. However, adequately conceptualizing ?approximate truth? has proved challenging. This article argues that the goal of articulating the concept of approximate truth can be advanced by first investigating the processes by which science accords theories the status of accepted or rejected. Accordingly, this article uses a path diagram model as a visual heuristic for the purpose of showing the processes in science that are involved in determining (...)
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  • Metaphysics and common usage.David L. Hull - 1981 - Behavioral and Brain Sciences 4 (2):290-291.
  • Universals, particulars, and paradigms.Helen Heise - 1981 - Behavioral and Brain Sciences 4 (2):289-290.
  • From nuisance variables to explanatory theories: A reformulation of the third variable problem.Brian D. Haig - 1992 - Educational Philosophy and Theory 24 (2):78–97.
  • Taxa, life, and thinking.Michael T. Ghiselin - 1981 - Behavioral and Brain Sciences 4 (2):303-313.
  • Problem Finding: a Theoretical Note.J. W. Getzels - 1979 - Cognitive Science 3 (2):167-172.
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  • Hempel's ravens, the natural classification of hypotheses and the growth of knowledge.Menachem Fisch - 1984 - Erkenntnis 21 (1):45 - 62.
  • Individuality and comparative biology.William L. Fink - 1981 - Behavioral and Brain Sciences 4 (2):288-289.
  • Rationality and the shoulds.Windy Dryden & Arthur Still - 2007 - Journal for the Theory of Social Behaviour 37 (1):1–23.
    This paper is about rational and irrational uses of deontological words, such as “should”, “ought”, and “must”, referred to as “the shoulds”. Rationality is taken as a mutual relationship between conceptual schemes and human agency. These are expressed in what Bakhtin referred to as authoritative discourse and internally persuasive discourse respectively. When the conceptual scheme is in place and its authority transparent, and there is interplay between authoritative discourse and internally persuasive discourse, then the shoulds are perceived as rational. When (...)
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  • The Many Faces of Science and Technology Relationships.Ana Cuevas - 2005 - Essays in Philosophy 6 (1):54-75.
    In this paper, the different theories about science and technology relationships are analyzed. All of them have some virtues, but also one main defect: these theories do not take into account other well-founded possible relationships. The origin of this problem is the narrow view about science and technology. In this paper another characterization about technology based on Ronald Giere’s perspective is suggested. In the light of this new description, six different relationships between science and technology arise. Some of these relations (...)
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  • Rethinking categories and life.Peter A. Corning - 1981 - Behavioral and Brain Sciences 4 (2):286-288.
  • On the concept of biomathematics.Metoděj K. Chytil - 1977 - Acta Biotheoretica 26 (2):137-150.
    The increasing complexity of biological problems and the increase of mathematical means to handle them on the one hand, and the possibility of automatized computation at the other, necessitate a revaluation of the present interactions between biology and mathematics; in this connection interrelations occur which can be divided into three kinds: mathematical biology, biological mathematics, and general biomathematics or methodology of the biomathematical sciences, by which are meant those scientific branches which arise from the said interactions.
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  • Pick your poison: Historicism, essentialism, and emergentism in the definition of species.Arthur L. Caplan - 1981 - Behavioral and Brain Sciences 4 (2):285-286.
  • The physicist and philosophy.Mario Bunge - 1970 - Zeitschrift Für Allgemeine Wissenschaftstheorie 1 (2):196-208.
    The central thesis of this paper is that physicists have as much to learn from scientifically oriented philosophy as philosophers have to learn from physics. To begin with, any discussion of basic physical ideas and procedures is bound to be conducted in the light of some philosophy or other. Now, the standard philosophy of physics of our century is operationism. And philosophers, with the help of recent developments in semantics, epistemology and the theory of scientific inference, have shown that operationism (...)
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  • Systems and emergence, rationality and imprecision, free-wheeling and evidence, science and ideology: Social science and its philosophy according to Van den Berg.Mario Bunge - 2001 - Philosophy of the Social Sciences 31 (3):404-423.
  • Reading Measuring Instruments.Mario Bunge - 2010 - Spontaneous Generations 4 (1):85-93.
    The design, maintenance and use of all measuring instruments involve indicators of the thing, property, or event they are expected to detect or measure. And every quantitative indicator is a functional relation between imperceptible and perceptible facts—for example, the “flow” of time and the rotation of a watch’s hands. The empirical test of any quantitative hypothesis involves the translation of the unobservable variables occurring in it into the observable variable(s) in the indicator hypothesis. Yet, indicators have escaped the notice of (...)
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  • Philosophical problems in linguistics.Mario Bunge - 1984 - Erkenntnis 21 (2):107-173.
  • How does it work?: The search for explanatory mechanisms.Mario Bunge - 2004 - Philosophy of the Social Sciences 34 (2):182-210.
    This article addresses the following problems: What is a mechanism, how can it be discovered, and what is the role of the knowledge of mechanisms in scientific explanation and technological control? The proposed answers are these. A mechanism is one of the processes in a concrete system that makes it what it is — for example, metabolism in cells, interneuronal connections in brains, work in factories and offices, research in laboratories, and litigation in courts of law. Because mechanisms are largely (...)
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  • Inverse Problems.Mario Bunge - 2019 - Foundations of Science 24 (3):483-525.
    Although to live is to face problems, the general concept of a problem has been significantly understudied. So much so, that the publication of Polya’s delightful How to Solve It caused quite a stir. And, although the concept of a conceptual problem is philosophical because it is deep and occurs across fields, from mathematics to politics, no philosophers have produced any memorable studies of it. Moreover, the word ‘problem’ is absent from most philosophical reference works. There are plenty of texts (...)
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  • Biopopulations, not biospecies, are individuals and evolve.Mario Bunge - 1981 - Behavioral and Brain Sciences 4 (2):284-285.
  • The Logical Structure of Applied Social Science.GÜnther E. Braun - 1982 - Theory and Decision 14 (1):1.