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. It has been updated several times since.[4] 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. The framework is a logical structure for classifying and organizing the descriptive representations of an enterprise.
Introduction to Complex Systems by David Kirshbaum I. Introduction: Complex Systems Theory : Basic Definition II. Four Important Characteristics of Complexity: III. I. A Complex System is any system which involves a number of elements, arranged in structure(s) which can exist on many scales. Previously, when studying a subject, researchers tended to use a reductionist approach which attempted to summarize the dynamics, processes, and change that occurred in terms of lowest common denominators and the simplest, yet most widely provable and applicable elegant explanations. But since the advent of powerful computers which can handle huge amounts of data, researchers can now study the complexity of factors involved in a subject and see what insights that complexity yields without simplification or reduction. Scientists are finding that complexity itself is often characterized by a number of important characteristics: (II.1) Self-Organization(II.2) Non-Linearity(II.3) Order/Chaos Dynamic(II.4) Emergent Properties. Examples
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. 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. In the first two billion years of life on Earth, bacteria – the only inhabitants – continuously transformed the planet’s surface and atmosphere and invented all life’s essential, miniaturized chemical systems.
Pattern recognition Pattern recognition algorithms generally aim to provide a reasonable answer for all possible inputs and to perform "most likely" matching of the inputs, taking into account their statistical variation. This is opposed to pattern matching algorithms, which look for exact matches in the input with pre-existing patterns. A common example of a pattern-matching algorithm is regular expression matching, which looks for patterns of a given sort in textual data and is included in the search capabilities of many text editors and word processors. Pattern recognition is studied in many fields, including psychology, psychiatry, ethology, cognitive science, traffic flow and computer science. Overview[edit] Pattern recognition is generally categorized according to the type of learning procedure used to generate the output value. Note that sometimes different terms are used to describe the corresponding supervised and unsupervised learning procedures for the same type of output. . to output labels . .
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."[1] 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]
untitled Thanks for your interest in Copycat! Copycat is written in Common Lisp. The system is unfortunately rather outdated: it will not run as is without some updates for modern versions of Common Lisp, and some platform-specific modifications to the graphics files. I am hoping that it will be rewritten in a more platform independent way sometime soon. I am still making the source files available. To get the source files, go to : and at your home machine, untar the file to get the source files. If your system can't deal with tar files, then go to and individually get each source file. To get Jim Marshall's Metacat project, go to: Scott Bolland of the University of Queensland wrote a Java version of Copycat and a tutorial; the web site is
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). 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. It questions whether the autopoietic definition of living systems truly applies to human social systems, and it proposes a formal definition of the human social system, incorporating the notion of the meme. 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. This paper can only begin to introduce the concepts that support a model of living enterprise information systems. Figure 1 Figure 2 Figure 3
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. The problem is that these models often assume fixed and limited rules and actions that individual agents can choose from, which excludes the dynamical nature of the mechanisms that underlie the behavior of living systems. So far, there exists a lack of convincing modeling approaches to investigate the emergence of social behavior from a mechanistic and evolutionary perspective. 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 Wikipedia.org) ■ 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. But while risk management, or lack thereof, played its part in the disintegration of the world financial system, we contend that another culprit played an even bigger role: complexity, and an inability to cope with it. Complex environments, complex organizations Complexity is one of the salient hallmarks of the 21st century. 1. 2. 3. 4.