Collective Beings (Contemporary Systems Thinking)

With collective behaviors playing a fundamental role in many scientific and technical disciplines, COLLECTIVE BEINGS focuses its attention on socio-economic applications to be used, for example, to increase corporate profitability and productivity. To this end, the book provides the reader with deep insights into modern conceptual tools of economy based on systemics. In the book, collective behaviors are shown by systems composed of individual parts or agents. Moreover, COLLECTIVE BEINGS illuminates the interplay between __system__ and __individual__ in a remarkable new way: their collective beings give rise to systems having quite different behavior, namely that of the group and that of the individual agent. The authors always take the various aspects into account - for instance, the components of one system may be simultaneously the components of another system as well. They stress the importance of cognitive models used by the interacting agents, of the role of the observer and of the dynamic use of many cognitive models. The concept of being virtual in contradistinction to being actual is examined, and the role of ethical agreements is underlined, along with a careful discussion of different concepts of ethics as well as their relation to quality. Systemics is viewed as a cultural framework crossing disciplines and the final result is a book coined by a profound humanitarian attitude, in which the authors state that often 'technological solutions are designed for problems rather than for people having these problems.'

with Collective Behaviors Playing A Fundamental Role In Many Scientific And Technical Disciplines, The Book, After An Overview On The Background To Systemics, Introduces The Concept Of Collective Being As A Multiple System Established By Processes Of Emergence And Self-organization Of The Same Agents Simultaneously Or Dynamically Interacting In Different Ways. The General Principles Underlying This Approach Are Grounded On The Theoretical Role Of The Observer. This Extended View Allows To Model In A More Suitable Way Complex Systems, Such As In Physics, Biology And Economics. The Dynamical Usage Of Models (dysam) Is The Related Modelling Methodology. This Innovating Approach Is Applied To Artificial And Natural Systems Equipped With Cognitive Systems, Such As Autonomous Robots And Social Systems. The Authors Discuss In Two Different Chapters Both Traditional (i.e. Based On Dynamical Systems And Dissipative Structures) And Non-traditional (i.e. Based On Theory Of Phase Transitions, Synergetics And Connectionistic Models) Models Of Emergence. The Book Also Introduces An Innovative Methodology For Detecting The Establishment Of Processes Of Emergence Based On Changes Of Ergodicity.

after A Theoretical Introduction Of The Concepts, The Authors Discuss The Application To Social Systems And Cognitive Systems. Applications To Social Systems Deal With Issues Such As Representing And Distinguishing Growth And Development, Sustainable Development, Ethics And Its Crucial Role To Induce And Maintain Emergence Of Social Systems, Virtual Systems, Knowledge Management And Organizational Learning. Applications To Cognitive Systems Deal With Approaches Going Beyond Computationalism, Theories Of Consciousness And Embodied Cognition.

two Conclusive Appendices On (1) Some Systemic Properties And (2) Some Questions And Answers About Systemics, Help The Reader To Have A Synthesized View Of The Book.

"With collective behaviors playing a fundamental role in many scientific and technical disciplines, the book, after an overview on the background to systemics, introduces the concept of COLLECTIVE BEING as a Multiple System established by processes of emergence and self-organization of the same agents simultaneously or dynamically interacting in different ways. The general principles underlying this approach are grounded on the theoretical role of the observer. This extended view allows to model in a more suitable way complex systems, such as in physics, biology and economics. The Dynamical Usage of Models (DYSAM) is the related modelling methodology. This innovating approach is applied to artificial and natural systems equipped with cognitive systems, such as autonomous robots and social systems. The authors discuss in two different chapters both traditional (i.e. based on dynamical systems and dissipative structures) and non-traditional (i.e. based on theory of phase transitions, Synergetics and connectionistic models) models of emergence. The book also introduces an innovative methodology for detecting the establishment of processes of emergence based on changes of ergodicity." "After a theoretical introduction of the concepts, the authors discuss the application to social systems and cognitive systems. Applications to social systems deal with issues such as representing and distinguishing growth and development, sustainable development, ethics and its crucial role to induce and maintain emergence of social systems, virtual systems, knowledge management and organizational learning. Applications to cognitive systems deal with approaches going beyond computationalism, theories of consciousness and embodied cognition."--BOOK JACKET Microscopic models 226 The intrinsic limitations of the theory of phase transitions 229 5. 3 Quantum Field Theory 230 5. 4 Spontaneous Symmetry Breaking 239 5. 5 Non-ideal models of emergence 249 5. 5. 1 Neural networks 250 5. 5. 2 Cellular Automata 261 5. 5. 3 Artificial Life 265 5. 6 The role of noise 273 5. 7 The relationships between traditional and non-traditional models 279 Chapter 6. The Role of Ergodicity 291 6. 1 Some definitions related to ergodicity 293 6. 1. 1 Ergodic 293 6. 1. 2 Disciplinary definitions 293 6. 2 Ergodicity and stationarity 300 6. 3 Ergodicity in Collective Beings 302 6. 4 Emergence, Collective Beings, and Ergodicity 306 6. 5 Further considerations 309 6. 6 Some remarks and possible lines of research 313 Chapter 7. Applications to Social Systems (1): growth, development, sustainable development and ethics 321 7. 1 Growth, Development and Sustainable Development 323 7. 1. 1 Representing Growth 324 7. 1. 2 Development 326 7. 1. 3 Managing for development 334 7. 2 Ethics 336 7. 2. 1 Ethics and Quality 340 7. 2. 2 Effectiveness and advantages of Ethics 342 7. 2. 3 Ethics for quality and effectiveness 343 7. 2. 4 Ethics and Globalization 346 viii Contents Chapter 8. Applications to Social Systems (2): systems archetypes, virtual systems, knowledge management, organizational learning, industrial districts 353 8. 1 Systems archetypes and collective beings 353 8. 2 Virtual systems 359 8. 2. With collective behaviors playing a fundamental role in many scientific and technical disciplines, the book, after an overview on the background to systemics, introduces the concept of Collective Being as a Multiple System established by processes of emergence and self-organization of the same agents simultaneously or dynamically interacting in different ways. The general principles underlying this approach are grounded on the theoretical role of the observer. This extended view allows to model in a more suitable way complex systems, such as in physics, biology and economics. The Dynamical Usage of Models (DYSAM) is the related modelling methodology. This innovating approach is applied to artificial and natural systems equipped with cognitive systems, such as autonomous robots and social systems. The authors discuss in two different chapters both traditional (i.e. based on dynamical systems and dissipative structures) and non-traditional (i.e. based on theory of phase transitions, Synergetics and connectionistic models) models of emergence. An innovative methodology is also introduced for detecting the establishment of processes of emergence based on changes of ergodicity. After a theoretical introduction of the concepts, the authors discuss the application to social systems and cognitive systems. Applications to social systems deal with issues such as representing and distinguishing growth and development, sustainable development, ethics and its crucial role to induce and maintain emergence of social systems, virtual systems, knowledge management and organizational learning. Applications to cognitive systems deal with approaches going beyond computationalism, theories of consciousness and embodied cognition. Two conclusive appendixes on (1) Some systemic properties and (2) Some questions and answers about Systemics, help the reader to have a synthesized view of the book. "After a theoretical introduction of the concepts, the authors discuss the application to social systems and cognitive systems. Applications to social systems deal with issues such as representing and distinguishing growth and development, sustainable development, ethics and its crucial role to induce and maintain emergence of social systems, virtual systems, knowledge management and organizational learning. Applications to cognitive systems deal with approaches going beyond computationalism, theories of consciousness and embodied cognition."--Résumé de l'éditeur Front Matter....Pages i-xvi The Background to Systemics....Pages 1-46 Generalizing Systemics and the Role of the Observer....Pages 47-88 Emergence....Pages 89-143 How to Model Emergence: Traditional Methods....Pages 145-194 How to Model Emergence: Non-Traditional Methods....Pages 195-290 The Role of Ergodicity....Pages 291-319 Applications to Social Systems (1)....Pages 321-352 Applications to Social Systems (2)....Pages 353-385 Applications to Cognitive Systems: Beyond Computationalism....Pages 387-405 Back Matter....Pages 407-462 This book offers an overview on the background to systemics. It introduces the concept of Collective Being as a Multiple System established by processes of emergence and self-organization of the same agents simultaneously or dynamically interacting in different ways. The principles underlying this approach are grounded on the theoretical role of the observer. This view allows to model in a more suitable way complex systems, such as in physics, biology and economics.