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Zachman Framework The Zachman Framework of enterprise architecture The Zachman Framework is not a methodology in that it does not imply any specific method or process for collecting, managing, or using the information that it describes.;[2] rather, it is an Ontology whereby a schema for organizing architectural artifacts (in other words, design documents, specifications, and models) is used to take into account both whom the artifact targets (for example, business owner and builder) and what particular issue (for example, data and functionality) is being addressed.[3] The framework is named after its creator John Zachman, who first developed the concept in the 1980s at IBM. Overview[edit] The term "Zachman Framework" has multiple meanings. Collage of Zachman Frameworks as presented in several books on Enterprise Architecture from 1997 to 2005. In other sources the Zachman Framework is introduced as a framework, originated by and named after John Zachman, represented in numerous ways, see image. Contextual

Lynn Margulis and Dorion Sagan - Microbial Microcosm Just how interconnected are we? The work of biologist Lynn Margulis and writer Dorion Sagan indicates we’re interconnected in ways few of us have probably ever considered. In fact, instead of viewing ourselves as the pinnacle of evolution, it may be more accurate to think of ourselves as a colony of closely associated bacteria. Carla Cole based the following on the work of Lynn Margulis and Dorion Sagan, including an article of theirs, The Parts: Power to the Protoctists, which appeared in the September/October 1992 issue of Earthwatch. (See the sidebar for more information on their work.) All life on Earth today derived from common ancestors. Far from leaving microorganisms behind on an evolutionary ladder, we more complex creatures are both surrounded by them and composed of them. Bacteria survived these crises because of special abilities that other life forms lack and that add whole new dimensions to the dynamics of evolution.

Mimivirus Mimivirus is a viral genus containing a single identified species named Acanthamoeba polyphaga mimivirus (APMV). It also refers to a group of phylogenetically related large viruses, designated usually "MimiN. In colloquial speech, APMV is more commonly referred to as just "mimivirus." Mimivirus has a large and complex genome compared with most other viruses. Discovery[edit] The same team that discovered the mimivirus later discovered a slightly larger virus, dubbed the mamavirus, and the Sputnik virophage that infects it.[5] Classification[edit] Mimivirus has been placed into a viral family by the International Committee on Taxonomy of Viruses as a member of the Mimiviridae,[6] and has been placed into Group I of the Baltimore classification system.[7] Although not strictly a method of classification, Mimivirus joins a group of large viruses known as nucleocytoplasmic large DNA viruses (NCLDV). Structure[edit] Genome[edit] Replication[edit] Pathogenicity[edit] See also[edit] References[edit]

Babel | Sito bibliografico sull’opera di Edgar Morin Edgar Morin è uno dei maggiori filosofi contemporanei. Direttore emerito di ricerca al CNRS (Francia). Presidente dell'Associazione per il pensiero complesso (Parigi, Francia). Titolare della Cattedra itinerante Edgar Morin (UNESCO). Membro del Consiglio di Stato per la pace e lo sviluppo (Unione Europea) e dell'Università per la pace (Nazioni Unite). Il progetto Babel intende raccogliere e presentare il vasto insieme delle sue pubblicazioni. Questo sito è realizzato e mantenuto da: CE.R.CO - Centro di ricerca sull'antropologia e l'epistemologia della complessitàUniversità degli studi di Bergamo Piazzale Sant'Agostino , 224129 – Bergamo - ItaliaDirettore: Mauro CerutiPresidente onorario: Edgar Morin

Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg In recent years there has been a growing public fascination with the complex "connectedness" of modern society. This connectedness is found in many incarnations: in the rapid growth of the Internet and the Web, in the ease with which global communication now takes place, and in the ability of news and information as well as epidemics and financial crises to spread around the world with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which each of our decisions can have subtle consequences for the outcomes of everyone else. Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior. The book is based on an inter-disciplinary course that we teach at Cornell. You can download a complete pre-publication draft of Networks, Crowds, and Markets here.

ISSS paper - 1999 This paper brought together a number of subjects, in an early, almost extended outline. The sections of this paper provide starting positions for several subjects that will be further explored in enterprisography. Full paper can be downloaded from here. This paper explores the subject of enterprise-wide information systems in terms of how they support business organizations as living, cognitive human social systems. Keywords: information systems, enterprise cognition, autopoiesis, meme, human social system, business design This paper is an abbreviated, exploratory discussion of a conceptual framework for considering enterprise information systems. An increasingly popular point of view is that human social systems, including businesses and other enterprises, are living, learning systems. This paper can only begin to introduce the concepts that support a model of living enterprise information systems. The formal definition of autopoiesis is: Figure 1 Figure 2 Figure 3 Figure 4

Steffen Wischmann - Research Social behavior can be found on almost every level of life, ranging from microorganisms to human societies. However, explaining the evolutionary emergence of cooperation, communication, or competition still challenges modern biology. The most common approaches to this problem are based on game-theoretic models. Instead of studying animals, the methodology, we employ, combines several aspects from alternative approaches to study behavior in a rather novel way. As our main objective, we aim at a complementary approach for studying not only the evolution, but also the mechanisms of basic forms of communication.

[마음―몸―시공간 Mind―Body―Spacetime] "책과 통하는 블로그, 알라딘 서재!" 창발Emergence 관련 논문과 저작들 ― 마음/의식과 관련하여 (계속 수정 증보 중입니다 ― 2007. 06. 10.일요일. 16:44 현재) Emergence in Philosophy and Science: An Extended Bibliography (last updated June 10, 2007) assembled and compiled by Yoon ScinCh-nW-k (qualia) from South Korea 마음mind과 의식consciousness 연구에서 창발/창발성emergence 개념은 앞으로 핵심적 역할을 할 것이다. (창발 개념과 직간접으로 관련이 있는 것들로 수반supervenience, 실현realization, 결정determination, 환원reduction, 부분전체론mereology, 자기조직화self-organization, 복잡성complexity, 혼돈chaos, 생기론vitalism, 기계론mechanism, 하향인과downward causation, 비선형 동역학nonlinear dynamics 따위와 같은 개념을 들 수 있다. Mandelbrot Set (photo from ■ Abbott, Russ (Sep. Received: 28 September 2005; Accepted: 20 July 2006; Published Online: 6 Oct. 2006 This paper was submitted as an invited paper resulting from the Understanding Complex Systems conference held at the University of Illinois-Urbana Champaign, May 2005. ☞ A Draft of this paper (10/12/2005): ◇ Abel, David L. and Jack T.

COPING WITH COMPLEXITY Coping with the complexity of today’s business environment is not about predicting the future or reducing risk. It’s about building the capacity, in yourself, your people, and the organization to adapt continuously and learn speedily, in order to maximize the chances of seizing fleeting opportunities. These authors’ excellent suggestions will help today’s leaders cope with complexity. As business leaders, policy makers, the academic community, the media and an outraged public search the rubble of the global economic crisis for clues as to what went wrong, all fingers point to a common perpetrator, poor risk management. Complex environments, complex organizations Complexity is one of the salient hallmarks of the 21st century. Professor Martha Maznevski, an Ivey PhD, and her colleagues at IMD1 have identified four main drivers that interact to produce complexity in organizations. Dealing with complexity through organizational learning and improvisation 1. 2. 3. 4.

Complex systems tutorial Jan Burian burianj (at) You can find here: Basic introduction to Complex Systems Science and relevant modeling tools Many links to web resources and a list of relevant literature "Complex systems" (4IZ636), lecture on University of Economics, Prague Content Intuitive definitions of complexity Basics of (complex) systems science Self-organization and related concepts Formal definitions of complexity Very short introduction to modeling methodology Cellular automatons Complex networks Agent-based models References Intuitive Definitions of Complex Systems System is an entity in terms of parts and relations between them. Structural relations define which parts are connected together. Structurally complex system A system that can be analyzed into many components having relatively many relations among them, so that the behavior of each component can depend on the behavior of many others. Basics of (complex) systems science Remember: Interconnection of parts matters in complex systems! Feedback

How the size of networks can skyrocket The growth process of networks. Left: In the beginning, only a few elements join to form many small networks. Middle: In the intermediate phase, several mid-sized networks have been created. Right: In the end, almost all elements are connected in one large network. (Max Planck Institute for Dynamics and Self-Organization) Researchers from the Max Planck Institute for Dynamics and Self-Organization (MPIDS), the Bernstein Center for Computational Neuroscience Gottingen, and the University of Gottingen have mathematically described for the first time the influence of single additional links in a network. Neurons in the brain constantly establish new connections, websites link to each other and a person traveling infected with influenza creates a network of infected places with each intermediate stop. To answer these questions, the scientists from Göttingen tracked the growth of networks link by link. “In our study we zoomed in on an intermediate growth phase.

caos La vita si evolve verso un regime di equilibrio tra l’ordine e il caos. Suggestiva l’immagine che la vita esiste ai confini del caos. Quasi come se la vita esistesse in una sorta di transizione, nello stato ordinato adiacente alla transizione di fase che porta al caos. I sistemi che si trovano nello stato ai confini del caos - un compromesso tra l’ordine e l’imprevisto- sono quelli che meglio sono in grado di coordinare attività complesse, e allo stesso tempo di evolversi. Vi sarebbero picchi di idoneità, applicabili a vari livelli. L’immagine del confine del caos compare anche quando si parla di coevoluzione: mentre ci evolviamo, anche chi è in competizione con noi si evolve, per restare idonei dobbiamo adattarci al loro processo di adattamento. Il mondo vivente è abbellito da una sovrabbondanza di ordine. Vengono considerate reti, in particolare reti booleane, ed esaminati i cicli di stato che in esse si formerebbero. Un programma per PC è un insieme di istruzioni. torna sopra