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Titlebook: Systems Theory in the Social Sciences; Stochastic and Contr Hartmut Bossel,Salomon Klaczko,Norbert Müller Book 1976 Springer Basel AG 1976

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书目名称Systems Theory in the Social Sciences
副标题Stochastic and Contr
编辑Hartmut Bossel,Salomon Klaczko,Norbert Müller
视频videohttp://file.papertrans.cn/885/884935/884935.mp4
丛书名称Interdisciplinary Systems Research
图书封面Titlebook: Systems Theory in the Social Sciences; Stochastic and Contr Hartmut Bossel,Salomon Klaczko,Norbert Müller Book 1976 Springer Basel AG 1976
描述In an ever more complex and interrelated world, a better understanding of social systems and of the dynamics of their behavior is of crucial im­ portance. Many of the tools holding promise of potentially significant contributions to the analysis of social systems have been, or are being developed outside of the social sciences proper, mostly the loose collec­ tion of diverse scientific approaches called‘ systems science‘ or , systems theory‘ . The editors - all of whom are involved in social systems analysis - have made an attempt in this volume to pull together several aspects of systems science which appear to them to be of particular relevance to the study of social systems: Control systems, stochastic systems, pattern recog­ nition, fuzzy analysis, simulation, and behavioral models. 29 authors from the disciplines of sociology, social psychology, political science, management science, history, behavioral science, economics, mathematics, engineering, and systems science have contributed to this truly interdis­ ciplinary effort. All of them have made the attempt to write in a manner understandable by the non-specialist. It is hoped that this volume will be of particular usefulnes
出版日期Book 1976
关键词algorithms; cognition; pattern; pattern recognition; perception; system; systems theory
版次1
doihttps://doi.org/10.1007/978-3-0348-5495-5
isbn_softcover978-3-7643-0822-3
isbn_ebook978-3-0348-5495-5
copyrightSpringer Basel AG 1976
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Stochastic System and Control Theoryches in these fields, and to give an idea of the sort of problems that can be tackled and solved. The paper is entirely expository. A number of examples are quoted, which are intended to be suggestive for application of the theory in the social sciences. No claim is made that these examples taken to
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Bilinear Control and Social Systems, are assumed to be linear in state and linear in control, but unlike linear systems, they are not jointly linear in state and control [1]. In other words, bilinear control processes include linear control processes as a subclass of systems, but they also include those with products of state and con
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Simulation of Human Conformity Behavior by Means of a Dynamic Process Modelenomenalistic model, is described. In order to give a general view of the possibilities and limits of the proposed method, the results of an investigation in social psychology, i. e. the simulation and analysis of human conformity behaviour, is summarized.
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