Coping complexity economics (12 Ergebnisse)
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gebundene Ausgabe. Zustand: Gut. 224 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gr…amm: 440.
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gebundene Ausgabe. Zustand: Gut. 224 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 465.
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Paperback. Zustand: Brand New. 244 pages. 9.25x6.10x0.55 inches. In Stock.
Sprache: Englisch
Verlag: Springer 2014
Serie: New Economic Windows, Buch 8 von 27. Buch 8 von 27 - New Economic Windows
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Taschenbuch. Zustand: Neu. Coping with Complexity | Perspectives for Economics, Management and Social Sciences | H. W. Gottinger | Taschenbuch | Theory and Decision Library | 244 S. | Englisch | 2011 | Springer | EAN 9789400970267 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, jue…rgen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book I develop a theory of complexity for economics and manage ment sciences. This book is addressed to the mathematically or analytically oriented economist, psychologist or management scientist. It could also be of interest to engineers, co…mputer scientists, biologists, physicists and ecologists who have a constant desire to go beyond the bounds of their respective disciplines. The unifying theme is: we live in a complex world, but how can we cope with complexity If the book has made the reader curious, and if he looks at modelling, problem recognition and problem solving within his field of competence in a more 'complex' way, it will have achieved its goal. The starting point is the recognition that complexity is a well-defined concept in mathematics (e.g. in topological dynamics), computer science, information theory and artificial intelligence. But it is a rather diffuse concept in other fields, sometimes it has only descriptive value or even worse, it is only used in a colloquial sense. The systematic investigation of complexity phenomena has reached a mature status within computer science. Indices of computer size, capacity and performance root ultimately in John von Neumann's paradigmatic model of a machine, though other 1 roots point to McCulloch and Pitts, not to forget Alan Turing. Offsprings of this development include: -complexity of formal systems and recursiveness; -cellular automata and the theory of self-reproducing machines; -theory of program or computational complexity; -theory of sequential machines; -problem solving, cognitive science, pattern recognition and decision processes.
Sprache: Englisch
Verlag: Springer 2008
Serie: New Economic Windows, Buch 8 von 27. Buch 8 von 27 - New Economic Windows
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Verlag: Springer Milan 2014
Serie: New Economic Windows, Buch 8 von 27. Buch 8 von 27 - New Economic Windows
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Taschenbuch. Zustand: Neu. Coping with the Complexity of Economics | Thomas Lux (u. a.) | Taschenbuch | xiv | Englisch | 2014 | Springer Milan | EAN 9788847055698 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Milan 2008
Serie: New Economic Windows, Buch 8 von 27. Buch 8 von 27 - New Economic Windows
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Throughout the history of economics, a variety of analytical tools have been borrowed from the so-called exact sciences. As Schoe?er (1955) puts it: ¿They have taken their mathematics and their ded- tive techniques from physics, their statistics from… genetics and agr- omy, their systems of classi?cation from taxonomy and chemistry, their model-construction techniques from astronomy and mechanics, and their methods of analysis of the consequences of actions from en- neering¿. The possibility of similarities of structure in mathematical models of economic and physical systems has been an important f- tor in the development of neoclassical theory. To treat the state of an economy as an equilibrium, analogous to the equilibrium of a mech- ical system has been a key concept in economics ever since it became a mathematically formalized science. Adopting a Newtonian paradigm neoclassical economics often is based on three fundamental concepts. Firstly, the representative agent who is a scale model of the whole society with extraordinary capacities, particularly concerning her - pability of information processing and computation. Of course, this is a problematic reduction as agents are both heterogeneous and bou- edly rational and limited in their cognitive capabilities. Secondly, it often con?ned itself to study systems in a state of equilibrium. But this concept is not adequate to describe and to support phenomena in perpetual motion.
Sprache: Englisch
Verlag: Springer Milan, Springer Milan 2014
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Throughout the history of economics, a variety of analytical tools have been borrowed from the so-called exact sciences. As Schoe er (1955) puts it: 'They have taken their mathematics and their ded- tive techniques from physics, their statistics from… genetics and agr- omy, their systems of classi cation from taxonomy and chemistry, their model-construction techniques from astronomy and mechanics, and their methods of analysis of the consequences of actions from en- neering'. The possibility of similarities of structure in mathematical models of economic and physical systems has been an important f- tor in the development of neoclassical theory. To treat the state of an economy as an equilibrium, analogous to the equilibrium of a mech- ical system has been a key concept in economics ever since it became a mathematically formalized science. Adopting a Newtonian paradigm neoclassical economics often is based on three fundamental concepts. Firstly, the representative agent who is a scale model of the whole society with extraordinary capacities, particularly concerning her - pability of information processing and computation. Of course, this is a problematic reduction as agents are both heterogeneous and bou- edly rational and limited in their cognitive capabilities. Secondly, it often con ned itself to study systems in a state of equilibrium. But this concept is not adequate to describe and to support phenomena in perpetual motion.
Sprache: Englisch
Verlag: Springer Milan, Springer Milan 2008
Serie: New Economic Windows, Buch 8 von 27. Buch 8 von 27 - New Economic Windows
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Throughout the history of economics, a variety of analytical tools have been borrowed from the so-called exact sciences. As Schoe er (1955) puts it: 'They have taken their mathematics and their ded- tive techniques from physics, their statistics from geneti…cs and agr- omy, their systems of classi cation from taxonomy and chemistry, their model-construction techniques from astronomy and mechanics, and their methods of analysis of the consequences of actions from en- neering'. The possibility of similarities of structure in mathematical models of economic and physical systems has been an important f- tor in the development of neoclassical theory. To treat the state of an economy as an equilibrium, analogous to the equilibrium of a mech- ical system has been a key concept in economics ever since it became a mathematically formalized science. Adopting a Newtonian paradigm neoclassical economics often is based on three fundamental concepts. Firstly, the representative agent who is a scale model of the whole society with extraordinary capacities, particularly concerning her - pability of information processing and computation. Of course, this is a problematic reduction as agents are both heterogeneous and bou- edly rational and limited in their cognitive capabilities. Secondly, it often con ned itself to study systems in a state of equilibrium. But this concept is not adequate to describe and to support phenomena in perpetual motion.
