Evolución, sistemas evolutivos, enfoque
lingüístico, lingüística matemática, reconocimiento sintáctico de patrones,
inferencia gramatical, gramáticas evolutivas, computación evolutiva,
programación genética, matrices evolutivas, redes neuronales evolutivas,
reconocimiento de patrones, autómatas celulares evolutivos, sistemas complejos,
sistemas expertos, aprendizaje de maquinas, procesos
de Markov, recursividad, complejidad, informática,
sistemas adaptativos, hardware evolutivo.
Crecimiento, aprendizaje, pensamiento,
transformación de nuestra imagen de la realidad, inteligencia artificial, vida
artificial, procesos de descomposición, el desarrollo y transformación de las
empresas, sociedades, organizaciones, países, galaxias y universos, vida,
cambio.
Evolución y Educación, Invención por evolución, Sistemas Evolutivos y música, Robótica evolutiva, sistemas evolutivos de la naturaleza, generación de paisajes, árboles, nubes, ríos, etc..
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Evolution and Evolutionary Systems LINKS to Applications Evolución y
Sistemas Evolutivos LIGAS
a Aplicaciones http://www.fgalindosoria.org/eac/evolucion/links/Applications.htm Fernando Galindo Soria
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Creación de la página www
Cd. De México a 2 de Junio del
2001
Ultimas actualizaciones 27 de Mayo del 2007, 9 de Diciembre del 2008,
9 de Julio del 2009, 11 de Julio del 2010
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Applications / Aplicaciones
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*********************************************************** Robótica evolutiva
Con la robótica
evolutiva pretenden desarrollar máquinas que evolucionen “Esperamos que un robot pre-sabio evolucione
a sabio por aprendizaje de su mundo mediante la experimentación en él y por
interacción con personas mediante el lenguaje simbólico y el lenguaje
corporal.” Doctor José
Negrete Martínez Pionero de
la inteligencia artificial en México. E X P R E S O Jueves 24 de Mayo de 2007 http://www.expreso.com.mx/edicionimpresa/20070524/1/16.pdf Evolution
trains robot teams “Evolution has
worked pretty well for biological systems, so why not apply it to the systems
that control robots? By Kimberly
Patch, Technology Research News, May 19/26, 2004 http://www.trnmag.com/Stories/2004/051904/Evolution_trains_robot_teams_051904.html York
investigates evolving ‘swarm’ robots Media Information: David Garner 01904 432153 Communications Office - University of York, 13 March 2008 http://www.york.ac.uk/admin/presspr/pressreleases/symbrion.htm ALIFE Conference to Reveal
New Approaches to Robot Role-Play The use of
artificial evolution to enable robots to assume roles will be described by
researchers at the ALIFE conference in Winchester http://www.ecs.soton.ac.uk/about/news/1963 *********************************************************** Evolving
Inventions Evolving
Inventions By John R. Koza,
Martin A. Keane and Matthew J. Streeter February 2003 Scientific American Magazine “Computer
programs that function via Darwinian evolution are creating inventions that
are novel and useful enough to be patented” http://www.sciam.com/article.cfm?id=evolving-inventions Invención por evolución Koza, John R.; Keane, Martin A. y Streeter,
Matthew J. http://www.investigacionyciencia.es/03028113000473/Invenci%C3%B3n_por_evoluci%C3%B3n.htm ************************************************** Network
Inference
Comparing
Evolutionary Algorithms on the Problem of Network Inference Christian Spieth, Rene Worzischek, Felix Streichert Centre for Bioinformatics, T¨ubingen (ZBIT), T¨ubingen, German http://www.ra.cs.uni-tuebingen.de/publikationen/2006/spieth06eas.pdf ACM Comparing mathematical models on the problem of network
inference Proceedings of the 8th annual conference on Genetic and
evolutionary computation Christian Spieth, Nadine Hassis, Felix Streichert “In
this paper we address the problem of finding gene regulatory networks from experimental
DNA microarray data. We focus on the evaluation of the performance of
different mathematical models on the inference problem. They are used to
model the underlying dynamic system of artificial regulatory networks. The
dynamics of the artificial systems represent different basic types of behavior,dimensionality and
mathematical properties. They are all created with three commonly used
approaches, namely linear weight matrices, H-systems, and S-systems. Due to
the complexity of the inference problem, some researchers suggested
evolutionary algorithms for this purpose. However, in many publications only
one algorithm is used without any comparison to other optimization methods.
Thus, we introduce a framework to systematically apply evolutionary algorithms
for further comparative analysis.” http://portal.acm.org/tipsvc.cfm?id=1144045&sess=%27%2A%5CS%2CRL%5B%2B3%20%20%20%0A ************************************************** Automatic paper
generator http://pdos.csail.mit.edu/scigen/ Welcome to NeOn! Thursday, 25 May 2006 “NeOn is a 14.7 million Euros project involving
14 European partners and co-funded by the European Commission’s Sixth
Framework Programme under grant number
IST-2005-027595. NeOn started in March 2006 and has
a duration of 4 years. Our aim is to advance the state of the art in using
ontologies for large-scale semantic applications in the distributed
organizations. Particularly, we aim at improving the capability to handle
multiple networked ontologies that exist in a particular context,
are created collaboratively, and might be highly dynamic and constantly
evolving.” http://www.neon-project.org/web-content/ Managing fisheries with semantic technologies ICT Results, June 25, 2008 “The NeOn team is
creating an industrial-strength development toolkit for semantic
applications, software that works with the meaning of data rather than simply
its label or file name.” http://cordis.europa.eu/ictresults/index.cfm/section/news/tpl/article/BrowsingType/Features/ID/89817 |
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Ir a Evolución y Sistemas
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