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"Complexity" has been part of the academic discourse for a decade or two. Texts on Complexity fall mainly in two categories: fairly technical and mathematical on the one hand, and fairly broad, vague and general on the other. Paul Cilliers' book Complexity and Postmodernism. Understanding Complex Systems (Routledge 1998) constituted an attempt to bridge this divide by reflecting more rigorously on the philosophical implications of complexity, and by making it accessible to the social sciences. This edited volume is a continuation of this project, with specific reference to the ethical implications of acknowledging complexity. These issues are pertinent to our understanding of organisations and institutions and could contribute significantly to the development of a richer understanding of ethics in business and would be a useful tool for teachers, researchers and post-graduate students with ethical concerns in disciplines ranging from Philosophy, Applied Ethics, Sociology, Organisational Studies, Political Science, Anthropology and Cultural Studies. The central theme which binds all the contributions together is: the inevitability of normative and ethical issues when dealing with complex phenomena. The book should thus be useful in the development of Business Ethics on two levels: in the first place on the level of developing a strong theoretical foundation, in the second place in providing specific examples of this theory in action in the real world.
This work explores the notion of complexity in the light of contemporary perspectives from philosophy and science. Paul Cilliers contributes to our general understanding of complex systems, and explores the implications of complexity theory for our understanding of biological and social systems. Postmodern theory is reinterpreted in order to argue that a postmodern perspective does not necessarily imply relativism, but that it could also be viewed as a manifestation of an inherent sensitivity to complexity. As Cilliers explains, the characterization of complexity revolves around analyses of the process of self-organization and a rejection of traditional notions of representation. The model of language developed by Saussure - and expanded by Derrida - is used to develop the notion of distributed representation, which in turn is linked with distributed modelling techniques. Connectionism (implemented in neural networks) serves as an example of these techniques. Cilliers points out that this approach to complexity leads to models of complex systems that avoid the oversimplification that results from rule-based models.; The book integrates insights from complexity and computational theo
"Complexity" has been part of the academic discourse for a decade or two. Texts on Complexity fall mainly in two categories: fairly technical and mathematical on the one hand, and fairly broad, vague and general on the other. Paul Cilliers' book Complexity and Postmodernism. Understanding Complex Systems (Routledge 1998) constituted an attempt to bridge this divide by reflecting more rigorously on the philosophical implications of complexity, and by making it accessible to the social sciences. This edited volume is a continuation of this project, with specific reference to the ethical implications of acknowledging complexity. These issues are pertinent to our understanding of organisations and institutions and could contribute significantly to the development of a richer understanding of ethics in business and would be a useful tool for teachers, researchers and post-graduate students with ethical concerns in disciplines ranging from Philosophy, Applied Ethics, Sociology, Organisational Studies, Political Science, Anthropology and Cultural Studies. The central theme which binds all the contributions together is: the inevitability of normative and ethical issues when dealing with complex phenomena. The book should thus be useful in the development of Business Ethics on two levels: in the first place on the level of developing a strong theoretical foundation, in the second place in providing specific examples of this theory in action in the real world.
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