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Evolutionary Systems
Evolutionary systems are a type of system, which reproduce with mutation whereby the most fit elements survive, and the less fit die down. One of the developers of the evolutionary systems thinking is Béla H. Bánáthy. Evolutionary systems are characterized by "moving equilibria and the dynamics of coevolutionary interactions which can not be foreseen ex ante."Rammel, Christian, and Jeroen CJM van den Bergh. "Evolutionary policies for sustainable development: adaptive flexibility and risk minimising." Ecological Economics 47.2 (2003): 121-133. The study of evolutionary systems is an important subcategory of Complex Systems research. See also * Biological system * Emergent organization An emergent organization (alternatively emergent organisation) is an organization that spontaneously emerges from and exists in a complex dynamic environment or market place, rather than being a construct or copy of something that already exists ... * Evolutionary computation * Evolutionary ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Béla H
Béla may refer to: * Béla (crater), an elongated lunar crater * Béla (given name), a common Hungarian male given name See also * Bela (other) * Belá (other) * Bělá (other) Bělá, derived from ''bílá'' (''white''), is the name of several places in the Czech Republic: * Bělá (Havlíčkův Brod District), a municipality and village in the Vysočina Region *Bělá (Mírová pod Kozákovem), a village, a part of the ... {{DEFAULTSORT:Bela de:Béla pl:Béla ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Alexander Laszlo (scientist)
Alexander Laszlo (*1964) is a polycultural systems scientist, currently residing in Argentina. Laszlo was the 57th President of the International Society for the Systems Sciences (ISSS), known for his work on systems theories and "education ecosystems". He, furthermore, is the President of the Board of Directors of thBertalanffy Center for the Study of Systems Science(BCSSS), based in Vienna, Austria. He also functions as the director of research at thLaszlo Institute of New Paradigm Research(LINPR), which is based in Trieste, Italy. With his research and work Alexander Laszlo has delivered outstanding contributions in the fields of leadership, systemic innovation, and sustainability. Life Alexander Laszlo was born in Fribourg, Switzerland in 1964, is the son of Ervin László and Carita Jägerhorn af Spurila whose family home is in Tuscany, Italy. Due to his extensive travels and activities in the USA, Latin America, East Asia, and Europe he is fluent in several languages, i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Complex System
A complex system is a system composed of many components which may interact with each other. Examples of complex systems are Earth's global climate, organisms, the human brain, infrastructure such as power grid, transportation or communication systems, complex software and electronic systems, social and economic organizations (like cities), an ecosystem, a living cell, and ultimately the entire universe. Complex systems are systems whose behavior is intrinsically difficult to model due to the dependencies, competitions, relationships, or other types of interactions between their parts or between a given system and its environment. Systems that are " complex" have distinct properties that arise from these relationships, such as nonlinearity, emergence, spontaneous order, adaptation, and feedback loops, among others. Because such systems appear in a wide variety of fields, the commonalities among them have become the topic of their independent area of research. In many cases, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Biological System
A biological system is a complex network which connects several biologically relevant entities. Biological organization spans several scales and are determined based different structures depending on what the system is. Examples of biological systems at the macro scale are populations of organisms. On the organ and tissue scale in mammals and other animals, examples include the circulatory system, the respiratory system, and the nervous system. On the micro to the nanoscopic scale, examples of biological systems are cells, organelles, macromolecular complexes and regulatory pathways. A biological system is not to be confused with a living system, such as a living organism. Organ and tissue systems These specific systems are widely studied in human anatomy and are also present in many other animals. * Respiratory system: the organs used for breathing, the pharynx, larynx, bronchi, lungs and diaphragm. * Digestive system: digestion and processing food with salivary g ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Emergent Organization
An emergent organization (alternatively emergent organisation) is an organization that spontaneously emerges from and exists in a complex dynamic environment or market place, rather than being a construct or copy of something that already exists. The term first appeared in the late 1990s and was the topic of the Seventh Annual Washington Evolutionary Systems Conference at University of Ghent, Belgium in May, 1999 . Emergent organizations and their dynamics pose interesting questions; for example, how does such an organization achieve closure and stability? Alternatively, as suggested by James R. Taylor and Elizabeth J. Van Every in their 2000 seminal text, ''The Emergent Organization'', all organizations emerge from communication, especially from the interplay of conversation and text. This idea concerns human organizations, but is consistent with Leibniz or Gabriel Tarde's monadology, or with Alfred North Whitehead's process philosophy, which explains the macro—both in hum ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Evolutionary Computation
In computer science, evolutionary computation is a family of algorithms for global optimization inspired by biological evolution, and the subfield of artificial intelligence and soft computing studying these algorithms. In technical terms, they are a family of population-based trial and error problem solvers with a metaheuristic or stochastic optimization character. In evolutionary computation, an initial set of candidate solutions is generated and iteratively updated. Each new generation is produced by stochastically removing less desired solutions, and introducing small random changes. In biological terminology, a population of solutions is subjected to natural selection (or artificial selection) and mutation. As a result, the population will gradually evolve to increase in fitness, in this case the chosen fitness function of the algorithm. Evolutionary computation techniques can produce highly optimized solutions in a wide range of problem settings, making them popula ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Software Prototyping
Software prototyping is the activity of creating prototypes of software applications, i.e., incomplete versions of the software program being developed. It is an activity that can occur in software development and is comparable to prototyping as known from other fields, such as mechanical engineering or manufacturing. A prototype typically simulates only a few aspects of, and may be completely different from, the final product. Prototyping has several benefits: the software designer and implementer can get valuable feedback from the users early in the project. The client and the contractor can compare if the software made matches the software specification, according to which the software program is built. It also allows the software engineer some insight into the accuracy of initial project estimates and whether the deadlines and milestones proposed can be successfully met. The degree of completeness and the techniques used in prototyping have been in development and debate ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
