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Russell K. Standish
Russell K. Standish is a computational scientist based in Sydney, Australia. He was the founding director of UNSW'High Performance Computing Support Unitfrom 1997-2005. In 2005 he established a computational science consultancy calleHigh Performance Coders Since 2002, he has held an adjunct associate professorship with UNSW'School of Mathematics and Statistics He grew up in Western Australia with 2 younger brothers, Mark (middle child) and Tony (youngest). He is married to Kim Crichton with 1 child, named Hal. Contributions Ensemble theories of everything In 2006, Standish published a boothat takes a look at ensemble theories of everything, a subject reinvigorated by Max Tegmark in 1997. He has also been an extensive contributor to thEverything List an informal discussion group on these ideas, and has published several papers in the area. Complex systems, evolutionary systems, artificial life Standish has been a longtime contributor to the study of evolutionary systems, an im ...
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Artificial Life
Artificial life (often abbreviated ALife or A-Life) is a field of study wherein researchers examine systems related to natural life, its processes, and its evolution, through the use of simulations with computer models, robotics, and biochemistry. The discipline was named by Christopher Langton, an American theoretical biologist, in 1986. In 1987 Langton organized the first conference on the field, in Los Alamos, New Mexico. There are three main kinds of alife, named for their approaches: ''soft'', from software; ''hard'', from hardware; and '' wet'', from biochemistry. Artificial life researchers study traditional biology by trying to recreate aspects of biological phenomena. Overview Artificial life studies the fundamental processes of living systems in artificial environments in order to gain a deeper understanding of the complex information processing that define such systems. These topics are broad, but often include evolutionary dynamics, emergent properties of colle ...
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Year Of Birth Missing (living People)
A year or annus is the orbital period of a planetary body, for example, the Earth, moving in its orbit around the Sun. Due to the Earth's axial tilt, the course of a year sees the passing of the seasons, marked by change in weather, the hours of daylight, and, consequently, vegetation and soil fertility. In temperate and subpolar regions around the planet, four seasons are generally recognized: spring, summer, autumn and winter. In tropical and subtropical regions, several geographical sectors do not present defined seasons; but in the seasonal tropics, the annual wet and dry seasons are recognized and tracked. A calendar year is an approximation of the number of days of the Earth's orbital period, as counted in a given calendar. The Gregorian calendar, or modern calendar, presents its calendar year to be either a common year of 365 days or a leap year of 366 days, as do the Julian calendars. For the Gregorian calendar, the average length of the calendar year (the ...
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Living People
Related categories * :Year of birth missing (living people) / :Year of birth unknown * :Date of birth missing (living people) / :Date of birth unknown * :Place of birth missing (living people) / :Place of birth unknown * :Year of death missing / :Year of death unknown * :Date of death missing / :Date of death unknown * :Place of death missing / :Place of death unknown * :Missing middle or first names See also * :Dead people * :Template:L, which generates this category or death years, and birth year and sort keys. : {{DEFAULTSORT:Living people 21st-century people People by status ...
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Statistical Mechanics
In physics, statistical mechanics is a mathematical framework that applies statistical methods and probability theory to large assemblies of microscopic entities. It does not assume or postulate any natural laws, but explains the macroscopic behavior of nature from the behavior of such ensembles. Statistical mechanics arose out of the development of classical thermodynamics, a field for which it was successful in explaining macroscopic physical properties—such as temperature, pressure, and heat capacity—in terms of microscopic parameters that fluctuate about average values and are characterized by probability distributions. This established the fields of statistical thermodynamics and statistical physics. The founding of the field of statistical mechanics is generally credited to three physicists: *Ludwig Boltzmann, who developed the fundamental interpretation of entropy in terms of a collection of microstates *James Clerk Maxwell, who developed models of probability distr ...
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Minsky (economic Simulator)
Steve Keen (born 28 March 1953) is an Australian economist and author. He considers himself a post-Keynesian, criticising neoclassical economics as inconsistent, unscientific and empirically unsupported. The major influences on Keen's thinking about economics include John Maynard Keynes, Karl Marx, Hyman Minsky, Piero Sraffa, Augusto Graziani, Joseph Alois Schumpeter, Thorstein Veblen, and François Quesnay. Hyman Minsky's financial instability hypothesis forms the main basis of his major contribution to economics which mainly concentrates on mathematical modelling and simulation of financial instability. He is a notable critic of the Australian property bubble, as he sees it. Keen was formerly an associate professor of economics at University of Western Sydney, until he applied for voluntary redundancy in 2013, due to the closure of the economics program at the university. In autumn 2014, he became a professor and Head of the School of Economics, History and Politics at Kingsto ...
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Agent-based Model
An agent-based model (ABM) is a computational model for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) in order to understand the behavior of a system and what governs its outcomes. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo methods are used to understand the stochasticity of these models. Particularly within ecology, ABMs are also called individual-based models (IBMs). A review of recent literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used in many scientific domains including biology, ecology and social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying ...
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Open Source
Open source is source code that is made freely available for possible modification and redistribution. Products include permission to use the source code, design documents, or content of the product. The open-source model is a decentralized software development model that encourages open collaboration. A main principle of open-source software development is peer production, with products such as source code, blueprints, and documentation freely available to the public. The open-source movement in software began as a response to the limitations of proprietary code. The model is used for projects such as in open-source appropriate technology, and open-source drug discovery. Open source promotes universal access via an open-source or free license to a product's design or blueprint, and universal redistribution of that design or blueprint. Before the phrase ''open source'' became widely adopted, developers and producers have used a variety of other terms. ''Open source'' gained ...
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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, i ...
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Computational Scientist
A computational scientist is a person skilled in scientific computing. This person is usually a scientist, a statistician, an applied mathematician, or an engineer who applies high-performance computing and sometimes cloud computing in different ways to advance the state-of-the-art in their respective applied discipline; physics, chemistry, social sciences and so forth.Computational Scientist Penn State Human Resources
Penn State University (Penn State) website; accessed Feb 2019.
Thus scientific computing has increasingly influenced many areas such as

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 ...
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Max Tegmark
Max Erik Tegmark (born 5 May 1967) is a Swedish-American physicist, cosmologist and machine learning researcher. He is a professor at the Massachusetts Institute of Technology and the president of the Future of Life Institute. He is also a scientific director at the Foundational Questions Institute and a supporter of the effective altruism movement.Archived aGhostarchiveand thWayback Machine Biography Early life He was born in Sweden to Karin Tegmark and American-born professor of mathematics Harold S. Shapiro. While in high school, Tegmark and a friend created and sold a word processor written in pure machine code for the Swedish eight-bit computer ABC 80, and a 3D Tetris-like game called Frac. Tegmark left Sweden in 1990 after receiving his M.Sc. in Engineering physics from the Royal Institute of Technology. (He had earned a B.A. in economics the previous year at the Stockholm School of Economics.) His first academic venture beyond Scandinavia brought him to California, wher ...
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