They are complex in that they are dynamic networks of interactions, and their relationships are not aggregations of the individual static entities. They are adaptive in that the individual and collective behavior mutate and self-organize corresponding to the change-initiating micro-event or collection of events. Overview 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. The fields of CAS and artificial life are closely related. The study of CAS focuses on complex, emergent and macroscopic properties of the system. John H. General properties What distinguishes a CAS from a pure multi-agent system (MAS) is the focus on top-level properties and features like self-similarity, complexity, emergence and self-organization. Characteristics Some of the most important characteristics of complex systems are: Robert Axelrod & Michael D.
Related: Complex adaptive systems
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Complex adaptive leadershipComplex adaptive leadership (CAL) is a complementary approach to leadership based on a polyarchic assumption (i.e. leadership of the many by the many), rather than based on an oligarchic assumption (i.e. leadership of the many by the few). Leadership in this theory is seen as a complex dynamic involving all, rather than only a role or attribute within a hierarchy. The theory calls for skills, attributes and roles which are additional to the demands of traditional leadership. The theory draws from complexity science and from complex adaptive systems theory. Origins Development The term first appeared in various articles and chapters of books between 2000 and 2010, mainly in articles concerning medical leadership (see articles by: Tatsuo I 2002, Hill et al. 2007, Hanah et al. 2008, Avolio et al. (2008), Ford 2009, and Chadwick 2010). References Jump up ^ Ford, Randal (2010). External links
039;s Center for Social Dynamics and ComplexityNovember 5-6, 2010 2010 Computational Social Science Society Conference September 30 - October 2, 2010 IASC North American Regional Meeting CSDC joins the Consortium for Biosocial Complex Systems Together with the Center for Institutional Diversity and the Mathematical, Computational, and Modeling Sciences Center, the CSDC has been brought into the Consortium for Biosocial Complex Systems under the leadership of Sander van der Leeuw. "Integration is the key to being a leader in solving complex challenges," van der Leeuw says. The new Consortium is also a part of the university-wide Complex Adaptive Systems Initiative headed by Sander van der Leeuw and George Poste.
Similarity between characteristics of a complex adaptive system and a wicked problem: AnecdotePosted by Shawn Callahan - January 25, 2005Filed in Uncategorized I’ve just been reading about wicked problems and I’m struck by the similarities between the characteristics of a complex system and how Rittel and Webber defined a wicked problem back in 1973. Jeff Conklin nicely summarises wicked problems as follows: You don’t understand the problem until you have developed a solution. Indeed, there is no definitive statement of “The Problem.” The problem is ill-structured, an evolving set of interlocking issues and constraints. And here is how I’ve roughly paraphrased Paul Cilliers description of complex systems: It is interesting that these two perspectives don’t make much reference to each other.
Birth of a Meme: The Rise of Culture TechI’ve been tracking emerging trends for a while now, exploring the co-evolution of humanity and our technologies, and building visions of the kinds of futures I’d like to see. Lately, I’ve found myself a bit restless, wondering “what’s next?” The conferences and gatherings I’m attending are beginning to feel stale, the conversations needing new framings and lenses through which to look at our world and ourselves. I’ve been on the hunt for a word or phrase that can encompass the essence of what feels important and resonates with me right now. The search has been prompted by my decision to start a new project — writing my first book. I’ve spent the past few weeks reviewing everything I’ve written so far on the blog, reflecting upon what I’ve observed, what I’ve learned, and identifying the deep values I’ve chosen to serve as a compass and foundation for what is meaningful and significant. While some will posit that the ‘solution’ is technological (better algorithms! :: Culture :: Neat.
Everything is fragmented-Complex adaptive systems at playCurrent design methods need a radical rethink. We must shift from a fail-safe design to safe-fail experiments. In my keynote at the KMWorld & Intranets Conference in September (available as a podcast at cognitive-edge.com), I elaborated on that idea and introduced the science of complex adaptive systems as a key piece of underlying theory to allow us to implement and, as importantly, to scale the change. When I talk about a system, I am not just talking about the technology aspects, but all of the human and environmental aspects. When I talk about an agent, I mean anything that acts. Ordered systems, in which there are repeating relationships between cause and effect that can be discovered by empirical observation, analysis and other investigatory techniques. During the 20th century, natural science (mainly chemistry and biology) became aware of a third type of system called complex adaptive systems.
MemeTracker: tracking news phrases over the webComplex adaptive systemComplex adaptive systems are special cases of complex systems. They are complex in that they are dynamic networks of interactions and relationships not aggregations of static entities. They are adaptive in that their individual and collective behaviour changes as a result of experience.[Need quotation to verify] Overview 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 highly interdisciplinary, seeking the answers to some fundamental questions about living, adaptable, changeable systems. The ideas and models of CAS are essentially evolutionary, grounded in modern chemistry, biological views on adaptation, exaptation and evolution and simulation models in economics and social systems. Definitions John H. General properties Characteristics Evolution of complexity See also
РесентиментПонятие ресентимента впервые было введено немецким философом Ф. Ницше в его работе «К генеалогии морали». По мысли этого философа, ресентимент является определяющей характеристикой морали рабов, которая противостоит морали господ. Ресентимент, по Ницше, деятельно проявляет себя в «восстании рабов»: «Восстание рабов в морали начинается с того, что ressentiment сам становится творческим и порождает ценности…», — этими словами, собственно, и вводится понятие ресентимента. Примечания[править | править исходный текст] Ссылки[править | править исходный текст]
File:Complex-adaptive-system.jpgЦикличность в религииЦикличность (или вечное возвращение) — концепция восприятия мира как вечно повторяющихся событий. Западное направление[править | править исходный текст] Античность[править | править исходный текст] Концепция о цикличности времени была сформирована в Древнем Египте. Средние века[править | править исходный текст] Символ цикличности Уроборос, змеи, пожирающей свой хвост, использовался в алхимии. Новое время[править | править исходный текст] Восточное направление[править | править исходный текст] Индуизм[править | править исходный текст] Вишну отдыхает на Ананта-шеше, в то время как Лакшми массажирует его «лотосные стопы» Сансара отражает бесконечность круга перерождений и поиска освобождения, часто обознается колесом жизни или бхавачакрой. Иногда «Вечное время» изображают в виде змея Ананта-шеше Согласно «Бхагавата-пуране», Шеша — это аватара Бога также известная по имени Санкаршана. Буддизм[править | править исходный текст] В ваджраяне концепция цикличности выражена в калачакре.