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Complexity Rising: From Human Beings to Human Civilization, a Complexity Profile

Complexity Rising: From Human Beings to Human Civilization, a Complexity Profile
Since time immemorial humans have complained that life is becoming more complex, but it is only now that we have a hope to analyze formally and verify this lament. This article analyzes the human social environment using the "complexity profile," a mathematical tool for characterizing the collective behavior of a system. The analysis is used to justify the qualitative observation that complexity of existence has increased and is increasing. The increase in complexity is directly related to sweeping changes in the structure and dynamics of human civilization—the increasing interdependence of the global economic and social system and the instabilities of dictatorships, communism and corporate hierarchies. How often have we been told by various philosophers and universalistic religions about unseen connections between human beings and the collective identity of humanity? Human civilization continues to face internal and environmental challenges. Related:  Complex Adaptive SystemsComplexity and CAS

Complex Systems Science: Where Does It Come From and Where is It Going To? Complex Systems Science: Where Does It Come From and Where is It Going To? Yaneer Bar-Yam Prof. Complex Systems Science: Where Does It Come From and Where is It Going To? ECCS 2011 - Satellite UCD Home | About UCD | UCD News & Events | Virtual Tour | Contact UCD | Staff Directories | UCD Sitemap | UCD Connect "Computing Life, Understanding Worlds" Learn more.. Join our Community Facebook Twitter Linked In Subscribe to our podcasts YouTube Subscribe to our news feed Join our Mailing List For announcements on Seminars, Events and News People Director's Welcome » Meet our internationally respected researchers Locate a Researcher » Use our People Finder application to search for a researcher Our Expertise » CASL Academics who can provide expert comment Research Programmes » Natural Computing and Optimisation » Simulation Science and Extreme Events » Networks and Data Analysis » Security and Trust Upcoming Events CASL Intranet Privacy | Freedom of Information | Disclaimer | Sitemap | © Copyright Complex and Adaptive Systems Laboratory, University College Dublin 2010

Dynamics of Complex Systems New England Complex Systems Institute 238 Main Street Suite 319, Cambridge, MA 02142 Phone: 617-547-4100 Fax: 617-661-7711 Textbook for seminar/course on complex systems.View full text in PDF format The study of complex systems in a unified framework has become recognized in recent years as a new scientific discipline, the ultimate of interdisciplinary fields. Breaking down the barriers between physics, chemistry and biology and the so-called soft sciences of psychology, sociology, economics, and anthropology, this text explores the universal physical and mathematical principles that govern the emergence of complex systems from simple components. Dynamics of Complex Systems is the first text describing the modern unified study of complex systems. It is designed for upper-undergraduate/beginning graduate-level students, and covers a wide range of applications in a wide array of disciplines. Professor Yaneer Bar-Yam received his S.B. and Ph.D. (1984) from MIT.

Chaos as an everyday thing You know you're living in a chaotic situation when (1) the mainstream media are constantly surprised by what is happening; (2) short-term predictions by various pundits go in radically different directions and are stated with many reserves; (3) the Establishment dares to say things or use words that were previously taboo; (4) ordinary people are frightened and angry but very unsure what to do. This is a good description of the past two years throughout the world, or at least in most parts of the world. Consider the recent enormous "surprises" - the election of a Republican senator in Massachusetts; the financial collapse of Dubai; the near bankruptcy of various large states within the United States and four or five of the member states of the European Union; severe world currency fluctuations. These "surprises" are commented on each day in the world press and by leading politicians. What are we seeing in California, in Greece, in most of the world's governments? Is Europe more stable?

Customized Blended Learning: The Classrooms of the Future? Online colleges may offer lessons that are personalized—to a degree. But not to the degree found at Summit High, a California charter school. The school has launched a test program that lets students personalize their own learning to an unprecedented degree. In a ninth-grade math class, some students work on geometry exercises, while others take tests in algebra, probability, and long division. Students work online, in large-group, teacher-led instruction, and in small groups. Kids get to choose the type of instruction they want—and the teacher can monitor everyone’s progress on a laptop as he moves around the room, stopping to offer individual help when needed. Even today’s typical online learning programs aren’t this personalized. Approximately 36 schools throughout the nation are trying out a combination of instructor-led and software-led instruction. But there are also plenty of reasons why highly personalized learning has big potential. The future of education is hard to gauge.

General System Theory | Alfonso Montuori disciplines, and proposed a different approach to and organization of knowledge. This goal of developing anew worldview was largely lost in the initial applications of GST, which were grounded in a moremechanistic, instrumental perspective, and seemed to promise the ability to control and predict moreaccurately and efficiently.GST has not proved to be the single unifying breakthrough approach that von Bertalanffy envisioned. Insome circles, GST is still viewed with suspicion as fundamentally scientistic. Further Readings Bateson, G. (2002). Mind and nature. Cresskill, NJ: Hampton Press.Burns, T., & Stalker, G. The management of innovation. New York: Oxford University Press.Cavaleri, S., & Obloj, K. (1993). Management systems. Belmont, CA: Wadsworth.Checkland, P. (1999). Systems thinking, systems practice. New York: Wiley.Jackson, M. (1991). Systems methodology for the management sciences. New York: Plenum.L‡szl—, E. (1996). The systems view of the world. On complexity. The fifth discipline.

School on Nonlinearity and Stochasticity in Emergent Phenomena Organizers Lecturers Rafael Barrio. Instituto de Física, UNAM. Carlos Gershenson. Holger Hennig. Pablo Padilla Longoria. Henrik Jensen. María Elena Lárraga. Sponsors The Entropy of Nations The 18th century writer Adam Smith provided a workable metaphor for the way society utilizes resources. In his book “The Wealth of Nations,” he argued that even as individuals strive, through personal industry, to maximize their advantage in life, they inadvertently contribute---as if under the influence of a “hidden hand”---to an aggregate disposition of wealth. Well, if Smith were a physicist and alive in the 21st century he might be tempted to compare people or nations to molecules and to replace the phrase “hidden hand” with “thermodynamic process.” Victor Yakovenko, a scientist at the Joint Quantum Institute (1), studies the parallels between nations and molecules. Figure 1. Studies of world energy consumption often feature plots of energy consumption or population over time. Figure 2. The JQI researchers draw on data from the U.S. Actually, the consumption data can be graphed in another way, one that illustrates the distributive nature of energy use. Figure 4. Maybe not.

Why Managers Haven't Embraced Complexity - Richard Straub by Richard Straub | 1:00 PM May 6, 2013 Nobody would deny that the world has become more complex during the past decades. With digitization, the interconnectivity between people and things has jumped by leaps and bounds. I remember well when the idea of applying complexity science to management was first being eagerly discussed in the 1990s. Why did this interest and work in complexity not lead to major changes in management practices? Complexity wasn’t a convenient reality given managers’ desire for control. Technology was not yet powerful enough to capture much complexity. The prospect of non-human decision-making is unnerving. The eager futurists talking about machines taking over evaluation of situations and decision-making have set back their own cause, as others see them ignoring an essential fact: sense-making is always informed by values. The recognition of complexity is at its core a view of the world that that makes us more humble and more open.

How To Define Learning Objectives In education, there are goals – often of the large scale and nebulous variety: “Learn English.” “Understand fractions”. “Learn to write (well)”. Achieving this type of goal is often difficult. The handy graphic below by Mia MacMeekin takes a look at “Making Stops On The Journey”, and how defining learning outcomes gives students a destination to reach for, and an expectation to achieve. Reveal the ‘destination’ (aka the learning outcome)Prepare several objectives for the students to learn based on different learning stylesPrepare for a landing on the first objectiveCreate real life objectivesCreate objectives that teach the leaders of tomorrowMotivate your students during each learning objective A Pattern Language Explained Christopher Alexander is famous for his book on architecture, A Pattern Language. What is not so well known is that Alexander has spent at least as much of his life in building as in writing, and he and his colleagues have produced some 300 buildings as well as gardens, neighborhoods and rural landscapes. Alexander’s career now spans over half a century, with written works that are acknowledged landmarks of design theory. His first book in 1964, Notes on the Synthesis of Form, was widely celebrated at the time; one review by Industrial Design magazine hailed it as, “one of the most important contemporary books about the art of design, what it is, and how to go about it”. His later work has also had a remarkable influence in software, open source computing, sociology, biology and other diverse disciplines. But Alexander’s work was always grounded in the physical act of making – specifically of constructing healthy environments around human beings and their diverse lives. Further resources A Neuroscientist's Radical Theory of How Networks Become Conscious - Wired Science It’s a question that’s perplexed philosophers for centuries and scientists for decades: Where does consciousness come from? We know it exists, at least in ourselves. But how it arises from chemistry and electricity in our brains is an unsolved mystery. Neuroscientist Christof Koch, chief scientific officer at the Allen Institute for Brain Science, thinks he might know the answer. According to Koch, consciousness arises within any sufficiently complex, information-processing system. All animals, from humans on down to earthworms, are conscious; even the internet could be. “The electric charge of an electron doesn’t arise out of more elemental properties. What Koch proposes is a scientifically refined version of an ancient philosophical doctrine called panpsychism — and, coming from someone else, it might sound more like spirituality than science. WIRED: How did you come to believe in panpsychism? Christof Koch: I grew up Roman Catholic, and also grew up with a dog. Koch: That’s true.

Cynefin: Distinguishing between sense-making and categorisation | More Beyond I first encountered Dave Snowden and Cynefin back in 2003 when we were still working for IBM. I felt an immediate resonance when I encountered the Cynefin Centre’s Complexity and Narrative based consulting methods as I never felt comfortable with the one-size-fits-all recipe-based consulting approaches I’d had to apply. The acknowledgement of the importance of context and that Best Practices are only valid within very specific boundaries was a breath of fresh air. The Cynefin Centre produced a document with the “organising principles” or heuristics underlying their complexity-based consulting approach – I found them extremely useful, but they’ve fallen by the wayside over the years. I thought this might be a good time to resurrect them. There are 12 principles in 4 categories – I’ll unpack each in a series of posts. 1. “The classic consultancy two by two matrices are categorisation models. When dealing with complex systems, relational thinking is much more valuable than categorisation.