background preloader


Self-organization occurs in a variety of physical, chemical, biological, robotic, social and cognitive systems. Common examples include crystallization, the emergence of convection patterns in a liquid heated from below, chemical oscillators, swarming in groups of animals, and the way neural networks learn to recognize complex patterns. Overview[edit] The most robust and unambiguous examples[1] of self-organizing systems are from the physics of non-equilibrium processes. Self-organization is also relevant in chemistry, where it has often been taken as being synonymous with self-assembly. The concept of self-organization is central to the description of biological systems, from the subcellular to the ecosystem level. Self-organization usually relies on three basic ingredients:[3] Strong dynamical non-linearity, often though not necessarily involving positive and negative feedbackBalance of exploitation and explorationMultiple interactions Principles of self-organization[edit] Examples[edit]

Related:  Inner Search

Cooperative In short, a coop can be defined as "a jointly owned enterprise engaging in the production or distribution of goods or the supplying of services, operated by its members for their mutual benefit, typically organized by consumers or farmers."[4] Cooperative businesses are typically more economically resilient than many other forms of enterprise, with twice the number of co-operatives (80%) surviving their first five years compared with other business ownership models (41%).[5] Cooperatives frequently have social goals which they aim to accomplish by investing a proportion of trading profits back into their communities.

Encyclopedia of Complexity and Systems Science Assembles for the first time the concepts and tools for analyzing complex systems in a wide range of fields Reflects the real world by integrating complexity with the deterministic equations and concepts that define matter, energy, and the four forces identified in nature Benefits a broad audience: undergraduates, researchers and practitioners in mathematics and many related fields Encyclopedia of Complexity and Systems Science provides an authoritative single source for understanding and applying the concepts of complexity theory together with the tools and measures for analyzing complex systems in all fields of science and engineering. The science and tools of complexity and systems science include theories of self-organization, complex systems, synergetics, dynamical systems, turbulence, catastrophes, instabilities, nonlinearity, stochastic processes, chaos, neural networks, cellular automata, adaptive systems, and genetic algorithms. Content Level » Research Show all authors

Complex systems Complex systems present problems both in mathematical modelling and philosophical foundations. The study of complex systems represents a new approach to science that investigates how relationships between parts give rise to the collective behaviors of a system and how the system interacts and forms relationships with its environment.[1] Such systems are used to model processes in computer science, biology,[2] economics, physics, chemistry,[3] and many other fields. It is also called complex systems theory, complexity science, study of complex systems, sciences of complexity, non-equilibrium physics, and historical physics.

Five Manifestos for the Creative Life by Kirstin Butler How a numbered list can start a personal revolution. Some days everyone needs a little extra encouragement. The words or lines or colors don’t want to come, or worse, we don’t even want to sit down to create. That’s when we turn to these inspiring manifestos, any one of which is guaranteed to give our uncooperative creativity a sharp kick in the pants. Here are five of our favorite contemporary manifestos that nudge ideas out of your head and into the hands of the world.

Emergence In philosophy, systems theory, science, and art, emergence is a process whereby larger entities, patterns, and regularities arise through interactions among smaller or simpler entities that themselves do not exhibit such properties. Emergence is central in theories of integrative levels and of complex systems. For instance, the phenomenon life as studied in biology is commonly perceived as an emergent property of interacting molecules as studied in chemistry, whose phenomena reflect interactions among elementary particles, modeled in particle physics, that at such higher mass—via substantial conglomeration—exhibit motion as modeled in gravitational physics. Neurobiological phenomena are often presumed to suffice as the underlying basis of psychological phenomena, whereby economic phenomena are in turn presumed to principally emerge.

Chaos Theory: A Brief Introduction What exactly is chaos? The name "chaos theory" comes from the fact that the systems that the theory describes are apparently disordered, but chaos theory is really about finding the underlying order in apparently random data. When was chaos first discovered? The first true experimenter in chaos was a meteorologist, named Edward Lorenz. In 1960, he was working on the problem of weather prediction. He had a computer set up, with a set of twelve equations to model the weather.

101 Timeless Lessons Life Teaches post written by: Angel Chernoff Email Take everything you’ve ever learned – all the crazy experiences and lessons – and place it all in a box labeled “Thank you.” What has life taught you? Think about all the things you would love to tell yourself if you could travel back in time to give your younger self some advice about life. This is what our sister site, Everyday Life Lessons, is all about. UCD CASL - Home 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

Francis Heylighen Francis Paul Heylighen (born 1960) is a Belgian cyberneticist investigating the emergence and evolution of intelligent organization. He presently works as a research professor at the Vrije Universiteit Brussel, the Dutch-speaking Free University of Brussels, where he directs the transdisciplinary research group on "Evolution, Complexity and Cognition"[1][2] and the Global Brain Institute. He is best known for his work on the Principia Cybernetica Project, his model of the Internet as a Global brain, and his contributions to the theories of memetics and self-organization. Biography[edit] Francis Heylighen was born on September 27, 1960 in Vilvoorde, Belgium. He received his high school education from the "Koninklijk Atheneum Pitzemburg" in Mechelen, in the section Latin-Mathematics.

Critical Thinking Worksite: Introduction I. Just What is Critical Thinking? When you hear "critical thinking", it is natural to think of criticism---that is, of unpleasant episodes involving your parents or your boss. One can think critically in episodes like these, but the term applies to many others as well. Complex adaptive system 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.[1][2] Overview[edit] 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. Functional Javascript Learn fundamental functional programming features of JavaScript in vanilla ES5. npm install -g functional-javascript-workshop Level Me Up Scotty! Learn to use leveldb, a simple key/value store with a vibrant package. Letting Go of Attachment “Most of our troubles are due to our passionate desire for and attachment to things that we misapprehend as enduring entities.” ~Dalai Lama Editor’s note: This is a guest post from Lori Deschene of Tiny Buddha. If there’s one thing we all have in common it’s that we want to feel happy; and on the other side of that coin, we want to avoid hurting. Yet we consistently put ourselves in situations that set us up for pain. 039;s Center for Social Dynamics and Complexity November 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