Complexity and self-organization in social and economic systems : proceedings of the International Conference on Complexity and Self-Organization in Social and Economic Systems, Beijing, October 1994
著者
書誌事項
Complexity and self-organization in social and economic systems : proceedings of the International Conference on Complexity and Self-Organization in Social and Economic Systems, Beijing, October 1994
（Lecture notes in economics and mathematical systems, 449）
Springer-Verlag, c1997
大学図書館所蔵 件 / 全90件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references
内容説明・目次
内容説明
The Instituts Internationaux de Physique et de Chimie fondis par E. Solvay and the Institute of Nonequilibrium systems of Beijing Normal University jointly sponsored a conference on "The Complexity and Self-organization in Socio economic Systems" on October 17-20, 1994 at Beijing, China. The purpose of the conference was to explore the complexity and evolutionary laws of socio economic systems through nonlinear dynamic systems and self-organization theory. The conference was chaired by Professor M. Sanglier and Professor Fang Fukang and was introduced by the Nobel prize winner, Professor I. Prigogine and the vice director of the Chinese National System Reform Committee, Mr. Wu Jie. The conference was held at an important time. On the one hand, the research in the natural sciences about the evolution of complex systems has made great progress, modern scientific theories such as nonlinear dynamic system theory and self-organization theory are becoming more and more mature and a series of methods dealing with these complex systems are being developed which enable us to understand and study non equilibrium, uncertainty and instability. On the other hand, human societies around the world witness a general increase of connectedness, interactivity and an increase of reaction speeds to decisions. In this context, the deterministic, linear way of thinking becomes more and more inadequate and this stimulates the development of non linear science.
目次
I. Introduction.- Opening speech of the conference.- Market economy and systematic management.- II. Macroeconomics: Economic growth and development, business cycles and chaos.- Macroeconomic dynamic model and economic evolution.- Economic cycle in a behavioral disequilibrium perspective.- The evolution of economic system and the development of economy in China.- The complexity of economic evolution-Change speeds and time scales.- A dynamic model and numerical experiment on the evolution of macroeconomics.- Investment for technology progress, increasing marginal products and bistable state of economic growth.- No limit cycle: Chen's learning competition model revisited.- Growth and fluctuation analysis of Chinese economy.- III. Microeconomics: technological change, market structure and regional economics.- Evolutionary complex systems: The self-organization of communities.- About a dynamic model of high technology industry: Impact of investments on the competitiveness of the products.- A model for corporate productivity.- Cognitive microeconomy in a society of autoteaching and specular hedonistic agents.- A dynamic analysis of regional inequality in China's economic development.- The selection of behavioral conventions in an evolutionary model of economic dynamics.- Improving foreign investment structure to promote industrial structure optimization.- Guandong's financial policy in transformation to a matured market economy.- Technological substitution effects with ISIS, a spatial, inter-sectoral nonlinear dynamic model.- IV. Stochastic Approach and Data Analysis.- An application of the extended linear expenditure system to pattern of demand in the Jiangsu Province of China.- A master equation approach for the modelling of the interregional flows.- Economic entropy and its application to the structure of the transportation system.- Foundation & prospect of Sino-European market combination.- A generalized Ramsey pricing model with applications to Chinese postal and telecommunications services.
「Nielsen BookData」 より