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  1. Klaus Mainzer (2011). Interdisciplinarity and Innovation Dynamics. On Convergence of Research, Technology, Economy, and Society. Poiesis and Praxis 7 (4):275-289.
    In the age of globalization, economic growth and the welfare of nations decisively depend on basic innovations. Therefore, education and knowledge is an important advantage of competition in highly developed countries with high standards of salaries, but raw material shortage. In the twenty-first century, innovations will arise from problem-oriented research, crossing over traditional faculties and disciplines. Therefore, we need platforms of interdisciplinary dialogue to choose transdisciplinary problems (e.g., environment, energy, information, health, welfare) and to cluster new portfolios of technologies. The (...)
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  2. Klaus Mainzer (ed.) (2010). ECAP10. VIII European Conference on Computing and Philosophy. Hut.
     
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  3. Klaus Mainzer (2010). The Emergence of Temporal Structures in Dynamical Systems. Foundations of Physics 40 (9-10):1638-1650.
    Dynamical systems in classical, relativistic and quantum physics are ruled by laws with time reversibility. Complex dynamical systems with time-irreversibility are known from thermodynamics, biological evolution, growth of organisms, brain research, aging of people, and historical processes in social sciences. Complex systems are systems that compromise many interacting parts with the ability to generate a new quality of macroscopic collective behavior the manifestations of which are the spontaneous emergence of distinctive temporal, spatial or functional structures. But, emergence is no mystery. (...)
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  4. Klaus Mainzer (2008). Symmetry and Complexity. The Spirit and Beauty of Nonlinear Science. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 39 (1):173-177.
     
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  5. Klaus Mainzer (2007). Von Einstein zur Medien-und Wissensgesellschaft. In Philipp W. Balsiger & Rudolf Kötter (eds.), Die Kultur Moderner Wissenschaft Am Beispiel Albert Einstein. Spektrum Akademischer Verlag. 97.
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  6. Klaus Mainzer & Theodor Leiber (eds.) (2007). Dynamisches Denken Und Handeln: Philosophie Und Wissenschaft in Einer Komplexen Welt: Festschrift Für Klaus Mainzer Zum 60. Geburtstag. S. Hirzel.
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  7. Klaus Mainzer (2006). The Embodied Mind. Filozofska Istrazivanja 26 (2):405-421.
  8. Klaus Mainzer (2006). Utjelovljeni Um. O Komputacijskim, Evolucijskim I Filozofskim Tumačenjima Spoznaje. Filozofska Istrazivanja 26 (2):405-421.
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  9. Klaus Mainzer (2006). Utjelovljeni um. O komputacijskim, evolucijskim i filozofskim tumačenjima spoznaje: The Embodied Mind. Filozofska Istrazivanja 26 (2):405-421.
    Suvremenu kognitivnu znanost ne možemo razumjeti bez najnovijeg razvoja računalne znanosti, umjetne inteligencije , robotike, neuroznanosti, biologije, lingvistike i psihologije. Kako klasična analitička filozofija, tako i tradicionalna AI pretpostavile su da sve vrste znanja moramo prikazati formalnim ili programskim jezicima. Ova je pretpostavka u proturječju s nedavnim uvidima u biologiju evolucije i razvojnu psihologiju ljudskog organizma. Većina je našega znanja implicitna i nesvjesna. To nije formalno prikazano, nego utjelovljeno znanje koje učimo radeći, a razumijevamo tjelesnim suodnosom s ekološkim nišama i (...)
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  10. Klaus Mainzer (2005). Der verkörperte geist: Über komputationale, evolutionäre und philosophische interprätationen der kognition. Synthesis Philosophica 20 (2):389-406.
    Die moderne Kognitionswissenschaft kann nicht verstanden werden ohne Einbeziehung der neuesten Errungenschaften aus der Computerwissenschaft, künstlichen Intelligenz , Robotik, Neurowissenschaft, Biologie, Linguistik und Psychologie. Die klassische analytische Philosophie, wie auch die traditionelle AI, setzten voraus, dass alle Arten des Wissens explizit durch formale oder Programmsprachen dargestellt werden müssen. Diese Annahme steht im Widerspruch zu den rezenten Einsichten in die Evolutionsbiologie und Entwicklungspsychologie des menschlichen Organismus. Der größte Teil unseres Wissens ist implizit und unbewusst. Es ist kein formal repräsentiertes, sondern ein (...)
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  11. Klaus Mainzer (2005). L'intellect incarné: Sur Les interprétations computationnelLes, évolutives et philosophiques de la connaissance. Synthesis Philosophica 20 (2):389-406.
    La science cognitive moderne ne peut être comprise sans les progrès récents en informatique, intelligence artificielle, robotique, neuroscience, biologie, linguistique et psychologie. La philosophie analytique classique et l’intelligence artificielle traditionnelle présumaient que toutes les sortes de savoir devaient être représentées explicitement par des langages formels ou programmatiques. Cette thèse est en contradiction avec les découvertes récentes en biologie de l’évolution et en psychologie évolutive de l’organisme humain. La majeure partie de notre savoir est implicite et inconsciente. Elle n’est pas représentée (...)
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  12. Klaus Mainzer (2005). The Embodied Mind: On Computational, Evolutionary, and Philosophical Interpretations of Cognition. Synthesis Philosophica 2 (40):389-406.
    Modern cognitive science cannot be understood without recent developments in computer science, artificial intelligence , robotics, neuroscience, biology, linguistics, and psychology. Classic analytic philosophy as well as traditional AI assumed that all kinds of knowledge must eplicitly be represented by formal or programming languages. This assumption is in contradiction to recent insights into the biology of evolution and developmental psychology of the human organism. Most of our knowledge is implicit and unconscious. It is not formally represented, but embodied knowledge which (...)
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  13. Klaus Mainzer (2004). Thinking in Complexity: The Computational Dynamics of Matter, Mind, and Mankind. Springer.
    Even beginners and young graduate students will have something to learn from this book." (Andre Hautot, Physicalia, Vol. 57 (3), 2005)"All-in-all, this highly ...
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  14. Klaus Mainzer (2000). Attractors of Mathematical Progress—the Complex Dynamics of Mathematical Research. In Emily Grosholz & Herbert Breger (eds.), The Growth of Mathematical Knowledge. Kluwer Academic Publishers. 387--406.
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  15. Klaus Mainzer (1999). Computational Models and Virtual Reality. New Perspectives of Research in Chemistry. Hyle 5 (2):135 - 144.
    Molecular models are typical topics of chemical research depending on the technical standards of observation, computation, and representation. Mathematically, molecular structures have been represented by means of graph theory, topology, differential equations, and numerical procedures. With the increasing capabilities of computer networks, computational models and computer-assisted visualization become an essential part of chemical research. Object-oriented programming languages create a virtual reality of chemical structures opening new avenues of exploration and collaboration in chemistry. From an epistemic point of view, virtual reality (...)
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  16. Klaus Mainzer (1998). Computer Technology and Evolution. Techné: Research in Philosophy and Technology 4 (1):63-71.
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  17. Klaus Mainzer (1997). Symmetry and Complexity - Fundamental Concepts of Research in Chemistry. Hyle 3 (1):29 - 49.
    Molecules have more or less symmetric and complex structures which can be defined in the mathematical framework of topology, group theory, dynamical systems theory, and quantum mechanics. But symmetry and complexity are by no means only theoretical concepts of research. Modern computer aided visualizations show real forms of matter which nevertheless depend on the technical standards of observation, computation, and representation. Furthermore, symmetry and complexity are fundamental interdisciplinary concepts of research inspiring the natural sciences since the antiquity.
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  18. Klaus Mainzer & Carsten Klein (1996). Symmetrien der Natur. Ein Handbuch zur Natur-und Wissenschaftsphilosophie. Journal for General Philosophy of Science 27 (1):171-180.
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  19. Klaus Mainzer (1995). Wie ist ein 'Newton des Gehirns' möglich? - Grundlagen, Erfolge und Grenzen mathematischer Modellierung in der Hirnforschung. Ethik Und Sozialwissenschaften 6 (1):103.
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  20. Klaus Mainzer (1994). Thinking in Complexity the Complex Dynamics of Matter, Mind, and Mankind.
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  21. Klaus Mainzer & Walter Schirmacher (1994). Quanten, Chaos Und Dämonen Erkenntnistheoretische Aspekte der Modernen Physik. Monograph Collection (Matt - Pseudo).
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  22. Jürgen Audretsch & Klaus Mainzer (eds.) (1990). Wieviele Leben Hat Schrödingers Katze? Bibliographisches Institut.
  23. Klaus Mainzer (1990). Knowledge-Based Systems. Journal for General Philosophy of Science 21 (1):47-74.
    No kind of technology has had such a profound effect upon our lives and society as the new knowledge-based systems which start to overcome the traditional computer technology. Few areas of science raise such high expectations and meet with so much sceptical resistance as Artificial Intelligence (AI). So it is the task of philosophy of science and technology to analyze the factual methodological possibilities of AI-technology. After a historical sketch of AI-development (Chapter 2), the technological foundations of expert systems are (...)
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  24. Jürgen Audretsch & Klaus Mainzer (1988). Philosophie Und Physik der Raum-Zeit. Monograph Collection (Matt - Pseudo).
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  25. Klaus Mainzer (1988). Symmetrie Und Symmetriebrechung. Journal for General Philosophy of Science 19 (2):290-307.
    In spite of their growing specialization, modern natural sciences intend to reduce their theories to some fundamental structures: Physics tries to unify the different physical forces in one fundamental force. Chemistry tries to explain the structure of chemical substances by the quantum mechanics of molecules. Biology tries to reduce the processes of life to biochemical and biophysical laws. Mathematically, the unification of natural science can be described by structures of symmetry, the specialization of science, the variety, and emergence of new (...)
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  26. Klaus Mainzer (1983). Beiträge zur Philosophie von Stephan Körner. Grazer Philosophische Studien 20:179-197.
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  27. Klaus Mainzer (1983). Philosophische Grundlagen und die Entwicklung der Mathematik. Grazer Philosophische Studien 20:179-197.
    Mit P. Bernays geht S. Körner in der Nachfolge von I . Kant und J.F. Fries davon aus, "daß eine gewisse Art rein-anschaulicher Erkenntnis als Ausgangspunkt der Mathematik genommen werden muß." Andererseits betont Körner einen Wechsel z.B. der geometrischen Anschauung in den nicht-euklidischen Geometrien, der durch die Unabhängigkeitsbeweise für geometrische Axiome (z.B. Parallelenaxiom) möglich wurde. Analog könnte man von einem Wechsel der mengentheoretischen Anschauung in nicht-cantorschen Mengenlehren sprechen, der durch Unabhängigkeitsbeweise mengentheoretischer Axiome (z.B. Auswahlaxiom, Kontinuumshypothese) eingeleitet wurde. In der Algebra (...)
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  28. Klaus Mainzer (1981). Grundlagenprobleme in der Geschichte der Exakten Wissenschaften. Monograph Collection (Matt - Pseudo).
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  29. Gerhard Vollmer, Klaus Mainzer & Andreas Kamlah (1981). Rezensionen. Journal for General Philosophy of Science 12 (1):178-187.
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  30. Klaus Mainzer (1978). Der Raum im Anschluss an Kant. Perspektiven der Philosophie 4:161-175.
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  31. Klaus Mainzer (1977). Is the Intuitionistic Bar-Induction a Constructive Principle? Notre Dame Journal of Formal Logic 18 (4):583-588.
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  32. Klaus Mainzer (1976). Das Begründungsproblem des mathematischen Kontinuums in der neuzeitlichen Entwi.. Philosophia Naturalis 16:125-137.
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  33. Klaus Mainzer (1973). Kants Philosophische Begründung des Mathematischen Konstructivismus Und Seine Wirkung in der Grundlagenforschung, Mit Einem Anhang Zur Mathematischen Präzisierung des Konstructiven Prädikativismus. [S.N.].
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