TitleCoping with the Complexity of Economics
Author(s)Faggini, Marisa;Lux, Thomas
PublicationMilano, Springer Milan, 2009.
DescriptionXIV, 170 p : online resource
Abstract NoteThe purpose of the science of complexity is to provide, if not a unified approach, at least useful tools to tackling complex problems in various scientific domains. Generally, complexity is considered a fundamental challenge to the reductionist approach in science as a whole and to its ideas of certainty and randomness. The overall behaviour of a complex system is different from and more than the sum of its parts. The behaviour of non-linear complex systems depends on the interaction (often with retroactive effects) among its constituent parts and not so much (or not only) on the characteristics of these parts themselves; the sum of the behaviour of single parts does not necessarily provide us with an explanation of the aggregate behaviour of a system. All this is true for economic systems. These are based on the activities of single economic agents. Each individual can obtain only partial knowledge that is focussed around its "world" (local information) and react to external shocks in different ways (local rationality). The aim of this book is to provide an overview to recent developments in theory and empirical research that view economic systems as complex phenomena whose aggregate dynamics can often not be inferred from its microscopic (microeconomic) building blocks. The collection of papers represented in this volume is dedicated to the memory of Massimo Salzano, who has been a fervent and eloquent advocate of the complexity approach. The contributions have been presented at a conference held to celebrate Massimo???s 60th birthday (Ecople -Economics: From Tradition of Complexity, Capri, 2-4 June, 2006), one year before he unexpectedly passed away in 2007
Keyword(s)1. BEHAVIORAL SCIENCES 2. COMPLEX SYSTEMS 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. ECONOMICS 7. Economics, general 8. GAME THEORY 9. Game Theory, Economics, Social and Behav. Sciences 10. Management science 11. STATISTICAL PHYSICS 12. Statistical Physics and Dynamical Systems
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