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Social Fuzziology

Study of Fuzziness of Social Complexity

Vladimir Dimitrov Bob Hodge

$251.95   $201.58

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English
Physica-Verlag GmbH & Co
04 September 2002
The book applies the principles and insights of Fuzzy Logic to the complexity of social life. It draws on the full range of the social sciences, including some of the most up-to-date work on the escalating complexities of post modern life, e.g. new information technologies in a global world, new forms of consciousness and identity, new relationships between humans, machines, nature and environment. The volume is interdisciplinary, combining expertise from Fuzzy Logic and the Postmodern Social Sciences, synthesising and applying concepts and methods of Fuzzy Logic in innovative ways to the world of social life. It gives readers from the social sciences a comprehensive, exciting and practical guide for applying Fuzzy Logic, while bringing a rich body of social problems and concepts on to the agenda for researchers in Fuzzy Logic and related fields.
By:   ,
Imprint:   Physica-Verlag GmbH & Co
Country of Publication:   Germany
Edition:   2002 ed.
Volume:   107
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 14mm
Weight:   1.060kg
ISBN:   9783790815061
ISBN 10:   3790815063
Series:   Studies in Fuzziness and Soft Computing
Pages:   188
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
1 Introduction to Social Fuzziology.- 1.1 The Basic Postulate of Fuzziology.- 1.2 The Approach of Fuzziology.- 1.3 The Project of Social Fuzziology.- 1.4 Socrates’ Wisdom at the Origin of Fuzziology.- 1.5 Principles of Fuzziology: A Social Perspective.- 1.6 Impossibility Theorems.- 1.7 Social Nature of Fuzziness.- 1.8 Human-centred Sources of Fuzziness.- 1.9 Transcending Duality and Non-duality.- 1.10 Consciousness Resonance.- 2 Bridging the Study of Complexity with Social Fuzziology.- 2.1 Complementarity and Mutual Enrichment.- 2.2 ‘Three Body Problem’ in Fuzziology.- 2.3 Chaotic Attractors of Meaning.- 2.4 Key Propositions in Social Fuzziology: A Complexity Perspective.- 2.5 Fuzzy Logic and Fuzziology.- 2.6 Fuzziology and Creativity.- 3 Understanding Fuzziness of Ourselves.- 3.1 Paradox of Mind.- 3.2 Journey towards Understanding Ourselves.- 3.3 Human Experiential Space.- 3.4 Maieutic Inquiry into the Essence of Human Dynamics.- 3.5 Empowering the Thinker.- 4 Understanding Fuzziness of Society.- 4.1 Infinite Life of Society versus Finite Lives of Individuals.- 4.2 Collective Mind: A Pile of Fragmented Knowledge.- 4.3 From Understanding Ourselves to Understanding Society.- 4.4 Lack of Wisdom in Society.- 4.5 Towards Establishment of Global Empire.- 4.6 Education and Learning in Society.- 4.7 The Health Illusion.- 4.8 Dealing with Hard Negotiation.- 4.9 Conclusion.- 5 Case Studies: Understanding Fuzzy Social Categories.- 5.1 What is ‘Australian’?.- 5.2 Use and Abuse of Fuzziness in Social Life.- 5.3 Fuzzy Borders in the Globalising World.- 5.4 ‘Mexican Americans’, ‘Chicanos’ and Santana.- 6 Fuzziness of the West and the East.- 6.1 Fuzzy Dionysos.- 6.2 Philosophy of Flux.- 6.3 Other Masters of Fuzziology from the West.- 6.4 Myths of Fuzziness.- 6.5 TheFuzzy Wisdom of Tao.- 6.6 Aboriginal Wisdom.- 6.7 Using Fuzziness of the Ancient Wisdom.- 7 Key Terms in the Language of Fuzziology.- 7.1 Fuzziness Defined.- 7.2 The Logos of Logic.- 7.3 Transformations.- 7.4 Transcendence.- 7.5 Understanding.- 7.6 The Social.- 7.7 Conclusion.- References.

Reviews for Social Fuzziology: Study of Fuzziness of Social Complexity

From the reviews: <p> It is a book on postmodern philosophy which employs the terminology of soft computing and the theory of chaos as a metaphor and analogy. a ] The authorsa (TM) ambition is to start bridging the gap between sciences and humanities. a ] the ideas exposed in the book may enrich the readera (TM)s thought a ] . Some parts of the book may certainly be found interesting, and the book may even help some people in the development of their own worldview a ] . (Libor Behounek, Neural Network World, Vol. 14 (2), 2004)


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