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  1. Guessing and Abduction.Mark Tschaepe - 2014 - Transactions of the Charles S. Peirce Society 50 (1):115.
    “Scientific research faces up with an open and unknown world”Within the work of C. S. Peirce, the most fundamental and contentious form of inference is that of abduction. According to Peirce, abduction is the only type of inference from which new ideas are created (CP 5.171, 1903). He wrote, “every single item of scientific theory which stands established today has been due to Abduction” (CP 5.172, 1903). Similarly, “All that makes knowledge applicable comes to us viâ abduction. […] Not the (...)
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  • Multimodal Abduction: External Semiotic Anchors and Hybrid Representations.Lorenzo Magnani - 2006 - Logic Journal of the IGPL 14 (2):107-136.
    Our brains make up a series of signs and are engaged in making or manifesting or reacting to a series of signs: through this semiotic activity they are at the same time engaged in “being minds” and so in thinking intelligently. An important effect of this semiotic activity of brains is a continuous process of “externalization of the mind” that exhibits a new cognitive perspective on the mechanisms underling the semiotic emergence of abductive processes of meaning formation. To illustrate this (...)
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  • External diagrammatization and iconic brain co-evolution.Lorenzo Magnani - 2011 - Semiotica 2011 (186):213-238.
    Our brains make up a series of signs and are engaged in making or manifesting or reacting to a series of signs: through this semiotic activity they are at the same time engaged in “being minds.” An important effect of this semiotic activity of brains is a continuous process of “externalization of the mind” that exhibits a new cognitive perspective on the mechanisms underlying the semiotic emergence of abductive processes of meaning formation. I consider this process of externalization interplay critical (...)
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  • “Theoric Transformations” and a New Classification of Abductive Inferences.Michael H. G. Hoffmann - 2010 - Transactions of the Charles S. Peirce Society 46 (4):570-590.
    Among the many problems posed by Peirce's concept of abduction is how to determine the scope of this form of inference, and how to distinguish different types of abduction. This problem can be illustrated by taking a look at one of his best known definitions of the term:Abduction is the process of forming an explanatory hypothesis. It is the only logical operation which introduces any new idea; for induction does nothing but determine a value, and deduction merely evolves the necessary (...)
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  • Reflective Argumentation: A Cognitive Function of Arguing.Michael H. G. Hoffmann - 2016 - Argumentation 30 (4):365-397.
    Why do we formulate arguments? Usually, things such as persuading opponents, finding consensus, and justifying knowledge are listed as functions of arguments. But arguments can also be used to stimulate reflection on one’s own reasoning. Since this cognitive function of arguments should be important to improve the quality of people’s arguments and reasoning, for learning processes, for coping with “wicked problems,” and for the resolution of conflicts, it deserves to be studied in its own right. This contribution develops first steps (...)
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  • Learning from people, things, and signs.Michael H. G. Hoffmann - 2007 - Studies in Philosophy and Education 26 (3):185-204.
    Starting from the observation that small children can count more objects than numbers—a phenomenon that I am calling the “lifeworld dependency of cognition”—and an analysis of finger calculation, the paper shows how learning can be explained as the development of cognitive systems. Parts of those systems are not only an individual’s different forms of knowledge and cognitive abilities, but also other people, things, and signs. The paper argues that cognitive systems are first of all semiotic systems since they are dependent (...)
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  • Cognitive conditions of diagrammatic reasoning.Michael Hg Hoffmann - 2011 - Semiotica 2011 (186):189-212.
    In the first part of this paper, I delineate Peirce's general concept of diagrammatic reasoning from other usages of the term that focus either on diagrammatic systems as developed in logic and AI or on reasoning with mental models. The main function of Peirce's form of diagrammatic reasoning is to facilitate individual or social thinking processes in situations that are too complex to be coped with exclusively by internal cognitive means. I provide a diagrammatic definition of diagrammatic reasoning that emphasizes (...)
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  • Measuring diagram quality through semiotic morphisms.André Freitas & Guy Clarke Marshall - 2021 - Semiotica 2021 (239):125-145.
    This paper outlines a method to assess the effectiveness of diagrams, from semiotic foundations. In doing so, we explore the Peircian notion of signification, as applied to diagrammatic representations. We review a history of diagrams, with particular emphasis on schematics used for representing systems, and uncover the neglect of semiotic analysis of diagrammatic representations. Through application of category theory to the Peircian triadic model, we propose a set of quantitative quality measures for diagrams, and a framework for their assessment, based (...)
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  • Peirce’s Philosophy of Mathematical Education: Fostering Reasoning Abilities for Mathematical Inquiry.Daniel G. Campos - 2010 - Studies in Philosophy and Education 29 (5):421-439.
    I articulate Charles S. Peirce’s philosophy of mathematical education as related to his conception of mathematics, the nature of its method of inquiry, and especially, the reasoning abilities required for mathematical inquiry. The main thesis is that Peirce’s philosophy of mathematical education primarily aims at fostering the development of the students’ semeiotic abilities of imagination, concentration, and generalization required for conducting mathematical inquiry by way of experimentation upon diagrams. This involves an emphasis on the relation between theory and practice and (...)
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  • Diagrammatic Reasoning as the Basis for Developing Concepts: A Semiotic Analysis of Students' Learning about Statistical Distribution.Arthur Bakker & Michael H. G. Hoffmann - 2005 - Educational Studies in Mathematics 60:333–358.
    In recent years, semiotics has become an innovative theoretical framework in mathematics education. The purpose of this article is to show that semiotics can be used to explain learning as a process of experimenting with and communicating about one's own representations of mathematical problems. As a paradigmatic example, we apply a Peircean semiotic framework to answer the question of how students learned the concept of "distribution" in a statistics course by "diagrammatic reasoning" and by developing "hypostatic abstractions," that is by (...)
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  • Searching for Common Ground on Hamas Through Logical Argument Mapping.Michael H. G. Hoffmann - unknown
    Robert Fogelin formulated the thesis “that deep disagreements cannot be resolved through the use of argument, for they undercut the conditions essential to arguing.” The possibility of arguing presupposes “a shared background of beliefs and preferences,” and if such a background is not given, there is no way of “rational” dispute resolution. By contrast to this pessimistic view, I will propose a method that has been developed to overcome difficulties as described by Fogelin.
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  • Commentary on Takuzo.Michael H. G. Hoffmann - unknown
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