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What's happening at MIT?

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説明NECSI (New England Complex Systems Institute) Winter School on Complex Systems looks interesting, these topics interest me very much. So does sleep research... but mainly as an active participant :}CX201: Complex Physical, Biological, and Social SystemsThis course offers an introduction to the essential concepts of complex systems and related mathematical methods and simulation strategies with application to physical, biological and social systems.Concepts to be discussed include: emergence, complexity, networks, self-organization, pattern formation, evolution, adaptation, fractals, chaos, cooperation, competition, attractors, interdependence, scaling, dynamic response, information and function. Methods to be discussed include: statistical methods, cellular automata, agent-based modeling, pattern recognition, system representation and informatics.CX202 Modeling, Networks, and Evolution of Complex SystemsThis course provides an introduction to building models of complex systems (physical, biological, social and engineering), networks architectures and evolutionary processes.It will cover the basic construction and analysis of models including identifying what is to be modeled, constructing a mathematical representation, analysis tools and implementing and simulating the model in a computer simulation. Particular attention will be paid to choosing the right level of detail for the model, testing its robustness, and discussing which questions a given model can or cannot answer.The study of networks will introduce the use of network topologies and the characterization of networks describing complex systems, including such concepts as small worlds, degree distribution, diameter, clustering coefficient, modules, motifs. Different types of network topologies and network behaviors that model aspects of real complex systems will be described including: modular, sparse, random, scale-free, and modular & scale free, influence, transport, transformation, and structure.The study of evolution will include the basic principles of evolutionary dynamics, its application and mechanisms in biological systems as well as socio-cultural and artificial contexts. Key concepts in traditional neo-Darwinian and more recent developments will be covered including: gene-centered view, fitness landscapes, evolutionary stability, co-evolution, group and strain selection, spatial evolutionary systems, selfishness and altruism, diversity, memetic evolution, genetic algorithms and other artificial evolutionary systems, and the origin of life.
撮影日2007-11-15 21:26:46
撮影者brewbooks , near Seattle, USA
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撮影地Boston, Massachusetts, United States 地図
カメラCOOLPIX L5 , NIKON
露出0.125 sec (1/8)
開放F値f/2.9


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