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Markus F. Peschl
University of Vienna
  1.  23
    Constructivism, Cognition, and Science – an Investigation of its Links and Possible Shortcomings.Markus F. Peschl - 2001 - Foundations of Science 6 (1-3):125-161.
    This paper addresses the questions concerningthe relationship between scientific andcognitive processes. The fact that both,science and cognition, aim at acquiring somekind of knowledge or representationabout the world is the key for establishing alink between these two domains. It turns outthat the constructivist frameworkrepresents an adequate epistemologicalfoundation for this undertaking, as its focusof interest is on the (constructive)relationship between the world and itsrepresentation. More specifically, it will beshown how cognitive processes and their primaryconcern to construct a representation of theenvironment and to (...)
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  2. Explicating the Epistemological Role of Simulation in the Development of Theories of Cognition.Matthias Scheutz & Markus F. Peschl - 2001 - In Proceedings of the 7th International Colloquium on Cognitive.
     
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  3. Some Thoughts on Computation and Simulation in Cognitive Science.Matthias Scheutz & Markus F. Peschl - 2001 - In Proceedings of the Sixth Congress of the Austrian Philosophical Society.
  4. Structures and Diversity in Everyday Knowledge. From Reality to Cognition and Back.Markus F. Peschl - 2003 - In Johannes Gadner, Renate Buber & Lyn Richards (eds.), Organising Knowledge: Methods and Case Studies. Palgrave-Macmillan. pp. 3--27.
  5. Formen des Konstruktivismus in Diskussion Materialien Zu den "Acht Vorlesungen Über den Konstruktiven Realismus".Markus F. Peschl (ed.) - 1991 - Wiener Universitätsverlag.
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  6. Understanding Representation.A. Reigler & Markus F. Peschl (eds.) - 1999 - Plenum Press.
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  7. Proceedings of the Sixth Congress of the Austrian Philosophical Society.Matthias Scheutz & Markus F. Peschl - 2001
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  8. Proceedings of the 7th International Colloquium on Cognitive.Matthias Scheutz & Markus F. Peschl - 2001
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  9.  55
    Triple-Loop Learning as Foundation for Profound Change, Individual Cultivation, and Radical Innovation. Construction Processes Beyond Scientific and Rational Knowledge.Markus F. Peschl - 2007 - Constructivist Foundations 2 (2/3):136-145.
    Purpose: Ernst von Glasersfeld’s question concerning the relationship between scientific/ rational knowledge and the domain of wisdom and how these forms of knowledge come about is the starting point. This article aims at developing an epistemological as well as methodological framework that is capable of explaining how profound change can be brought about in various contexts, such as in individual cultivation, in organizations, in processes of radical innovation, etc. This framework is based on the triple-loop learning strategy and the U-theory (...)
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  10.  56
    Emergent Innovation—a Socio-Epistemological Innovation Technology. Creating Profound Change and Radically New Knowledge as Core Challenges in Knowledge Management.Markus F. Peschl & Thomas Fundneider - 2008 - In Lytras M. D. (ed.), The Open Knowledge Society: A Computer Science and Information Systems Manifesto. Springer. pp. 101-108.
    This paper introduces an alternative approach to innovation: Emergent Innovation. As opposed to radical innovation Emergent Innovation finds a balance and integrates the demand both for radically new knowledge and at the same time for an organic development from within the organization. From a knowledge management perspective one can boil down this problem to the question of how to cope with the new and with profound change in knowledge. This question will be dealt with in the first part of the (...)
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  11.  23
    Evolving the Future by Learning From the Future ? Toward an Epistemology of Change.Markus F. Peschl & Thomas Fundneider - 2014 - Behavioral and Brain Sciences 37 (4):433-434.
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  12. The Role of Cognitive Modeling for User Interface Design Representations: An Epistemological Analysis of Knowledge Engineering in the Context of Human-Computer Interaction. [REVIEW]Markus F. Peschl & Chris Stary - 1998 - Minds and Machines 8 (2):203-236.
    In this paper we review some problems with traditional approaches for acquiring and representing knowledge in the context of developing user interfaces. Methodological implications for knowledge engineering and for human-computer interaction are studied. It turns out that in order to achieve the goal of developing human-oriented (in contrast to technology-oriented) human-computer interfaces developers have to develop sound knowledge of the structure and the representational dynamics of the cognitive system which is interacting with the computer.We show that in a first step (...)
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  13.  9
    Why Philosophy? On the Importance of Knowledge Representation and its Relation to Modeling Cognition.Markus F. Peschl - 1997 - In Matjaz Gams (ed.), Mind Versus Computer: Were Dreyfus and Winograd Right? Amsterdam: Ios Press. pp. 43--90.