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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Some Basic Issues Connected with Fuzzy Analysisc’ systems. In the case of mechanistic systems one is able to treat them with precise methods of traditional mathematics because the ingredients of such systems can be precisely defined in terms of their inputs, states etc. and because one is able to give conditions on their controllability. In huma

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Stochastic System and Control Theorygether are in any sense complete or even representative as regards the potential applicability of stochastic system and control theory in the social sciences. No more it is claimed that the bibliography is complete.

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Structure and Dynamics of Sociological Systemsocatalytic character and, as a consequence, can lead to instabilities. It can be assumed that certain periodical phenomena in sociological systems, which can be found in fashion or in politics, can be interpreted as a consequence of instabilities of that sort.

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Pattern RecognitionThe term “pattern recognition” covers a broad range of capabilities — natural and artificial. Before electronic computers became available (in the fifties), natural pattern recognition capabilities of animals and humans could be tested in psychophysical experiments, but artificial pattern recognition by machines was beyond the state of the art.

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Pattern Recognition as a Model for Cognitive ProcessesA first important characteristic of pattern recognition activities is the fact, that they are inherently related to cognitive activities. Thus, it is possible to formulate a mathematical theory involving some fundamental aspects of cognition as well as pattern recognition.

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Fuzzy Models for Social ProcessesA general account of some techniques applied in the study of complex systems is given, suggesting their possible extensions in the field of social sciences. The theory of fuzzy sets is introduced as well-suited for modelling the social group. Fuzzy clustering, fuzzy categories and fuzzy systems are presented as possible models of social phenomena.