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Topic: NeuroEvolution of Augmented Topologies

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	NeuroEvolution of Augmented Topologies -- Facts, Info, and Encyclopedia article (Site not responding. Last check: 2007-10-21)
		Neuro-Evolution of Augmenting Topologies (NEAT) is a (Click link for more info and facts about genetic algorithm) genetic algorithm for evolving (Any network of neurons or nuclei that function together to perform some function in the body) neural networks.
		Conventional neural (The configuration of a communication network) network topology is defined by the developer, and the genetic algorithm is used to modify weights in the network.
		As the evolution progresses, the topology of the network may be augmented by adding a neuron along an exisiting connection, or by adding anew connection between previously unconnected neurons.
	www.absoluteastronomy.com /encyclopedia/N/Ne/NeuroEvolution_of_Augmented_Topologies1.htm (335 words)

	NeuroEvolution of Augmented Topologies - Wikipedia, the free encyclopedia
		Neuro-Evolution of Augmenting Topologies (NEAT) is a genetic algorithm for evolving neural networks.
		Conventional neural network topology is defined by the developer, and the genetic algorithm is used to modify weights in the network.
		As the evolution progresses, the topology of the network may be augmented by adding a neuron along an exisiting connection, or by adding a new connection between previously unconnected neurons.
	en.wikipedia.org /wiki/NeuroEvolution_of_Augmented_Topologies (360 words)

	Search Encyclopedia.com (Site not responding. Last check: 2007-10-21)
		topology -> Branches of Topology Topology may be roughly divided into point-set topology, which considers figures as sets of points having such properties as being open or closed, compact, connected, and so forth; combinatorial topology, which, in contrast to point-set topology, considers figures as combinations (complexes) of simple figures (simplexe...
		topology topology, branch of mathematics, formerly known as analysis situs, that studies patterns of geometric figures involving position and relative position without regard to size.
		topology -> Topological Properties There are various properties of a figure, in general, and of a surface such as a sphere, torus, or disk, in particular, that may be used to distinguish between such figures topologically.
	www.encyclopedia.com /searchpool.asp?target=NeuroEvolution+of+Augmented+Topologies (452 words)

	Neuroevolution - Wikipedia, the free encyclopedia
		Neuroevolution, or neuro-evolution, is the use of genetic algorithms to train artificial neural networks.
		It is useful for applications such as games and robotic motor control, where it is easy to measure a network's performance at a task but difficult or impossible to create a syllabus of correct input-output pairs for use with a supervised learning algorithm.
		A distinction is made between those that only evolve the values of the connection weights for a network of pre-specified topology, vs. those that evolve the topology of the network in addition to the weights.
	en.wikipedia.org /wiki/Neuroevolution (188 words)

	NeuroEvolution_of_Augmented_Topologies (Site not responding. Last check: 2007-10-21)
		Neuro-Evolution of Augmenting Topologies (NEAT) is a genetic algorithm for evolving neural networks written by Ken...
		NeuroEvolution of Augmented Topologies Neuro-Evolution of Augmenting Topologies (NEAT) is a genetic algorithm for evolving neural networks written by Ken Stanley at University of Texas at Austin and...
		NeuroEvolution by Augmented Topologies NeuroEvolution of Augmented Topologies Neurofeedback neurofibril neurofibril Neurofibrillary tangle Neurofibrillary tangles Neurofibrillary tangles neurofibroma...
	genetic_algorithms.networklive.org /subgo.php?NeuroEvolution_of_Augmented_Topologies (241 words)

	Wikinfo \| Morphogenic network (Site not responding. Last check: 2007-10-21)
		That is the topology determines, the amount of work that needs to be done for the network to evolve into a given logical configuration.
		Thus, an optimal physical topology would be a statistical ensemble of the networks that the neural network is expected to simulate, therefore minimizing the expected work.
		That is, the optimal topology is that where the expected aggregate evolutionary path length (in bits) of a configuration, from the initial state (possibly a random state), is proportional to the log-likelihood of that configuration being "ideal" (being the one that minimizes free energy).
	www.wikinfo.org /wiki.php?title=Morphogenic_network (2175 words)

	Neuroevolution (Site not responding. Last check: 2007-10-21)
		Neuroevolution, or neuro-evolution, is the use of genetic algorithms to train artificial neuralnetworks.
		It is useful for applications such as games and robotic motor control, where it is easy to measure a network's performance at a task butdifficult or impossible to create a syllabus of correct input-output pairs for use with a supervised learning algorithm.
		A distinction is made between those that only evolve the values of theconnection weights for a network of pre-specified topology, vs. those that evolve the topology of the network in addition to theweights.
	www.therfcc.org /neuroevolution-83872.html (145 words)

	Genetic algorithm (Site not responding. Last check: 2007-10-21)
		Genetic algorithms have been successfully applied to the study of neurological evolution (see NeuroEvolution by Augmented Topologies).
		As a general rule of thumb genetic algorithms might be useful in problem domains that have a complex fitness landscape as recombination is designed to move the population away from local minima that a traditional hill climbing algorithm might get stuck in.
		Genetic programming algorithms typically require running time that is orders of magnitude greater than that for genetic algorithms, but they may be suitable for problems that are intractable with genetic algorithms.
	www.sciencedaily.com /encyclopedia/genetic_algorithm (1929 words)

	3 NeuroEvolution of Augmenting Topologies (NEAT)
		Genomes of different organizations and sizes stay compatible throughout evolution, and the problem of comparing different topologies is essentially avoided.
		Because smaller structures optimize faster than larger structures, and adding nodes and connections usually initially decreases the fitness of the network, recently augmented structures have little hope of surviving more than one generation even though the innovations they represent might be crucial towards solving the task in the long run.
		Unlike other systems that evolve network topologies and weights, NEAT begins with a uniform population of simple networks with no hidden nodes, differing only in their initial random weights.
	www.cs.cmu.edu /afs/cs/project/jair/pub/volume21/stanley04a-html/node3.html (1845 words)

	Encyclopedia: NeuroEvolution of Augmented Topologies (Site not responding. Last check: 2007-10-21)
		Lisp is a reflective, functional programming language family with a long history.
		A network topology is the method in which nodes of a network are connected by links.
		The perceptron is a type of artificial neural network invented in 1957 at the Cornell Aeronautical Laboratory by Frank Rosenblatt.
	www.nationmaster.com /encyclopedia/NeuroEvolution-of-Augmented-Topologies (510 words)

	NeuroEvolution of Augmented Topologies - Encyclopedia, History, Geography and Biography
		NeuroEvolution of Augmented Topologies - Encyclopedia, History, Geography and Biography
		This encyclopedia, history, geography and biography article about NeuroEvolution of Augmented Topologies contains research on
		NeuroEvolution of Augmented Topologies, Complexification, Phased Pruning, rtNEAT and External links.
	www.arikah.net /encyclopedia/NeuroEvolution_by_Augmented_Topologies (390 words)

	topologies - OneLook Dictionary Search
		Tip: Click on the first link on a line below to go directly to a page where "topologies" is defined.
		Example: "Greenland's topology has been shaped by the glaciers of the ice age"
		Phrases that include topologies: list of common topologies, neuroevolution by augmented topologies, neuroevolution of augmented topologies
	www.onelook.com /?w=topologies&ls=a (173 words)

	--> virtual life lab <-- utrecht university
		NEAT - NeuroEvolution with Augmented Topologies (Stanley, Miikkulainen)
		Some methods evolve topologies in addition to weights, but these usually have a bound on the complexity of networks that can be evolved and begin evolution with random topologies.
		This project is based on a neuroevolution method called NeuroEvolution of Augmenting Topologies (NEAT) that can evolve networks of unbounded complexity from a minimal starting point.
	www.aisland.org /vll/course/literature.htm (451 words)

	Genetic algorithm
		Training artificial neural networks when pre-classified training examples are not readily obtainable (neuroevolution).
		Genetic programming (GP) is a related technique popularized by John Koza, in which computer programs, rather than function parameters, are optimized.
		They are usually applied to domains where it is hard to design a computational fitness function, for example, evolving images, music, artistic designs and forms to fit users' aesthetic preference.
	www.keywordmage.net /ge/genetic-algorithm.html (2037 words)

	Neuroevolution - Encyclopedia Glossary Meaning Explanation Neuroevolution (Site not responding. Last check: 2007-10-21)
		Here you will find more informations about Neuroevolution.
		If you find this encyclopedia or its sister projects useful,
		(However, there are no standardized terms for the distinction.) Networks that evolve both the connection weights and the topology are sometimes called TWEANNs (Topology & Weight Evolving Artificial Neural Networks).
	www.encyclopedia-glossary.com /en/Neuroevolution.html (202 words)

	[No title] (Site not responding. Last check: 2007-10-21)
		It is shown that the paradoxisavoided when resources are added across the network, rather than on a local scale, and when upgrades are focused on direct connections between sources and destinations.
		Instead of just adjusting the weights in a network of fixed topology, Cascade-Correlation begins with a minimal network, then automatically trains and adds new hidden units one by one, creating a multi-layer structure.
		We claim that the increased efficiency is due to (1) employing a principled method of crossover of different topologies, (2) protecting structural innovation using speciation, and (3) incrementally growing from minimal structure.
	homepages.cwi.nl /~hoen/biblio (15069 words)

	Neural network (Site not responding. Last check: 2007-10-21)
		Early models (circa 1970) had a fixed number of layers.
		More recently, genetic algorithms are used to evolve the neural structure (see neuroevolution).
		The sigmoid curve is often used as a transfer function because it introduces non-linearity into the network's calculations by "squashing" the neuron's activation level into the range [0,1].
	www.free-download-soft.com /info/neural-networks.html (2473 words)

	ELSE: Theory
		First of all, it is a difficult problem that can help evaluate new techniques in machine learning, augmenting other, often easier, problems, such as pole-balancing.
		If one could generate physically-accurate controllers that were adaptable to the environment, one could substantially improve the believablity of the character.
		Currently, ELSE uses the NEAT (NeuroEvolution of Augmented Topologies) algorithm developed by Kenneth Stanley at University of Texas at Austin.
	pantarhei.sourceforge.net /Theory.html (464 words)

	NeuroEvolution of Augmented Topologies Definition im Mathe Lexikon (Site not responding. Last check: 2007-10-21)
		NeuroEvolution of Augmented Topologies Definition im Mathe Lexikon
		Definition, Erklärung, Bedeutung von NeuroEvolution of Augmented Topologies im Lexikon für Mathematik.
		Wenn NeuroEvolution of Augmented Topologies Deiner Meinung nach nicht richtig erklärt oder definiert wurde, schreib bitte
	www.matheboard.de /lexikon/index.php?title=NeuroEvolution_of_Augmented_Topologies&action=edit (71 words)

	SGI TPL View (AI-Alife-HOWTO)
		Together, these two levels augment Common Lisp with practically all of the functionality of both Prolog and constraint logic programming languages such as CHiP and CLP(R).
		Support for multiple population experiments, using arbitrary and user settable topologies for exchange, for a single processor (i.e., you can do multiple population gp experiments on your PC).
		While query-based memory aids help with direct recall, remembrance agents are an augmented associative memory.
	techpubs.sgi.com /tpl.cgi/view/linux/HOWTO/AI-Alife-HOWTO (13653 words)

	software.ca - NeuroEvolution of Augmented Topologies (Site not responding. Last check: 2007-10-21)
		We couldn't find any results for NeuroEvolution of Augmented Topologies in Software.
		Here are some other items you may be interested in.
		Other Web Sites about NeuroEvolution of Augmented Topologies
	software.ca /NeuroEvolution-of-Augmented-Topologies/reference/fullview/wikipedia/344922 (142 words)

	ELSE: Theory
		ELSE uses a slightly modified version of the NEAT (NeuroEvolution of Augmented Topologies) algorithm developed by Kenneth Stanley at University of Texas at Austin.
		I've experimented with several different algorithms for evolving neural networks, including fixed topology, the GNARL algorithm from Peter Angeline, and an evolved version of echo state networks from Herbert Jaeger from the Fraunhofer Institute.
		At this point, none of the other approaches have matched NEAT's speed and robustness (how likely a given run is to result in walking behavior).
	else.sourceforge.net /Theory.html (356 words)

	Year 2004 News Archive: July
		At the lab tucked away in West Campus, professors, graduate students and undergraduate volunteers from an assortment of disciplines work together on research in the most advanced fields of game development.
		Many projects at the DMC are rigorously academic, such as computer sciences Ph.D. candidate Ken Stanley's work on the NeuroEvolution of Augmenting Topologies.
		Or they might take the form of a race of 'new humans'; that is, bionic or cyborgian people who have been enormously augmented and extended physically, mentally, and emotionally."
	www.aaai.org /AITopics/html/archvE7.html (12360 words)

	[No title]
		levels augment Common Lisp with practically all of the
		· Symbiotic, Adaptive NeuroEvolution (SANE; predecessor of ESP)
		user settable topologies for exchange, for a single processor
	www.linuxrx.com /HOWTO/sunsite-sources/AI-Alife-HOWTO.html (7945 words)

	Genetic and Evolutionary Computation Conference (Site not responding. Last check: 2007-10-21)
		Optimizing Topology and Parameters of Gene Regulatory Network Models from Time-Series Experiments
		Humanoid Robot Programming Based on CBR Augmented GP
		Active Guidance for a Finless Rocket Using Neuroevolution
	wotan.liu.edu /docis/dbl/geccog (4501 words)

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