File Name: information and self organization a macroscopic approach to complex systems .zip
Self-organization offers a promising approach for designing adaptive systems.
- Read Information and Self-Organization: A Macroscopic Approach to Complex Systems (Springer
- Information and Self-Organization
- Metrics of Emergence, Self-Organization, and Complexity for EWOM Research
- Guiding the Self-Organization of Cyber-Physical Systems
Self-organization is a general mechanism for the creation of new structural pattern of systems. A pattern, in essence, is a relationship, an architecture, a way of organizing, and a structure of order, which can only be explained by information activities. The characteristics of self-organization behavior, such as openness, nonlinearity, inner randomness, inner feedback, information network, and holographic construction, provide corresponding conditions and basis for the self-organizing evolution of the system from the aspects of environmental information function, maintenance and construction of the overall information framework of the system, and exploration of new information mode of the system. Based on the general process and mechanism of self-organization system evolution, its corresponding basic stages have the significance and value of information activities. Generally speaking, the process of system elements differentiating from the original system is the decoupling of information association between relevant elements and original systems.
Read Information and Self-Organization: A Macroscopic Approach to Complex Systems (Springer
It seems that you're in Germany. We have a dedicated site for Germany. Complex systems are ubiquitous, and practically all branches of science ranging from physics through chemistry and biology to economics and sociology have to deal with them. In this book we wish to present concepts and methods for dealing with complex systems from a unifying point of view. In order to find unifying principles we shall focus our attention on those situations where a complex system changes its macroscopic behavior qualitatively, or in other words, where it changes its macroscopic spatial, temporal or functional structure. Until now, the theory of synergetics has usually begun with a microscopic or mesoscopic description of a complex system. In this book we present an approach which starts out from macroscopic data.
A complex adaptive system is a system that is complex in that it is a dynamic network of interactions , but the behavior of the ensemble may not be predictable according to the behavior of the components. It is adaptive in that the individual and collective behavior mutate and self-organize corresponding to the change-initiating micro-event or collection of events. The study of complex adaptive systems, a subset of nonlinear dynamical systems ,  is an interdisciplinary matter that attempts to blend insights from the natural and social sciences to develop system-level models and insights that allow for heterogeneous agents , phase transition , and emergent behavior. The term complex adaptive systems , or complexity science , is often used to describe the loosely organized academic field that has grown up around the study of such systems. Complexity science is not a single theory—it encompasses more than one theoretical framework and is interdisciplinary, seeking the answers to some fundamental questions about living , adaptable, changeable systems. Complex adaptive systems may adopt hard or softer approaches. Softer theories use natural language and narratives that may be imprecise, and agents are subjects having both tangible and intangible properties.
Information and Self-Organization
Complexity and Self-Organization View all 10 Articles. In a recent round table organized by the Santa Fe Institute, the complexity of commerce captured the attention of those interested in understanding how complex systems science can be applicable for settings where consumers and providers interact. Despite the usefulness of applied complexity for commerce-related phenomena, few works have attempted to provide insightful ideas. In particular, the paper argues possible pragmatic ways to understanding the valuable information present in word-of-mouth data found on electronic commerce platforms. Emergence, self-organization, and complexity are three fundamental concepts in complex systems science [ 1 , 2 ]. A warning note, however, should be stated beforehand. Word-of-mouth [ 4 ] takes place when customers produce informal communications directed at other consumers about the ownership, usage, or characteristics of particular goods and services.
It seems that you're in Germany. We have a dedicated site for Germany. This book presents the concepts needed to deal with self-organizing complex systems from a unifying point of view that uses macroscopic data. The various meanings of the concept "information" are discussed and a general formulation of the maximum information entropy principle is used. With the aid of results from synergetics, adequate objective constraints for a large class of self-organizing systems are formulated and examples are given from physics, life and computer science.
Metrics of Emergence, Self-Organization, and Complexity for EWOM Research
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Haken Published Physics, Computer Science.
Complexity and information technologies: an ethical inquiry into human autonomous action. Investigation is made of ethical and political issues related to the application of ubiquitous computing resources to autonomous decision-making processes and to the enhancement of human cognition and action. We claim that without the feedback of fellow humans, which teaches us the consequences of our actions in real everyday life, the indiscriminate use of ubiquitous computing in decision-making processes seems to be beyond the reach of any clear ethical control. We argue that the complex systems perspective may help us to foresee possible long-term consequences of our choices, in areas where human autonomous action can be directly affected by informational technologies. Keywords: Artificial intelligent systems.
Очевидно, он ошибался. Девушка обвила его руками.
Guiding the Self-Organization of Cyber-Physical Systems
На экране перед ними высветилось сообщение об ошибке: НЕДОПУСТИМЫЙ ВВОД. ТОЛЬКО В ЦИФРОВОЙ ФОРМЕ - Черт его дери! - взорвался Джабба. - Только цифровой. Нам нужно число. Он нас надул. Это кольцо - обман.
Чед? - услышал он голос у себя за спиной. Обернувшись, Бринкерхофф начал всматриваться в темноту. Мидж как ни чем не бывало стояла в приемной возле двойной двери директорского кабинета и протягивала к нему руку ладонью вверх.
Ввела личный код, и экран тотчас ожил, показав, что Следопыт работает, хотя и не дал пока никакой информации о Северной Дакоте. Черт возьми, - подумала Сьюзан. - Почему же так долго.
Да хватит тебе, Эдди! - Но, посмотрев в зеркало, он убедился, что это вовсе не его закадычный дружок. Лицо в шрамах и следах оспы. Два безжизненных глаза неподвижно смотрят из-за очков в тонкой металлической оправе.
Он уверяет, что в шифровалке полный порядок. Сказал, что ТРАНСТЕКСТ работает в обычном темпе. Что у нас неверные данные.
Там он его и оставил. - Думаю, нет нужды спрашивать, куда направился Дэвид, - хмуро сказала. ГЛАВА 17 Дэвид Беккер ступил на раскаленные плиты площади Испании.