]> BibSonomy publications for /author/Ziegler http://www.bibsonomy.org/burst/author/Ziegler BibSonomy BuRST Feed for /author/Ziegler 2008-07-21T00:07:22+02:00 Trust Issues in Shibboleth-Enabled Federated Grid Authentication and Authorization Infrastructures Supporting Multiple Grid Middleware. dblphttp://www.bibsonomy.org/bibtex/2136c2ec8c5518c2964e5ef43639e06d6/dblp dblp 2008-07-14T00:00:00+02:00 dblp
Trust Issues in Shibboleth-Enabled Federated Grid Authentication and Authorization Infrastructures Supporting Multiple Grid Middleware.
Christian Grimm and Ralf Groeper and Siegfried Makedanz and Hans Pfeiffenberger and Peter Gietz and Martin Haase and Michael Schiffers and Wolfgang Ziegler eScience 569-576 (2007)
to dblp by dblp on 2008-07-14 00:00:00 ]]> eScienceconf/eScience/2007569-576Trust Issues in Shibboleth-Enabled Federated Grid Authentication and Authorization Infrastructures Supporting Multiple Grid Middleware.2007dblp 2008-07-14 00:00:00.0 Optimal Control Strategies for Incoming Inspection. dblphttp://www.bibsonomy.org/bibtex/22b61c7e666fb32691c3ab3af9c1076b0/dblp dblp 2008-07-04T00:00:00+02:00 dblp
Optimal Control Strategies for Incoming Inspection.
Stefan Nickel and Sebastian Velten and Hans-Peter Ziegler OR 43-48 (2007)
to dblp by dblp on 2008-07-04 00:00:00 ]]> ORconf/or/200743-48Optimal Control Strategies for Incoming Inspection.2007dblp 2008-07-04 00:00:00.0 Weblogs als ein innovatives Instrument des betrieblichen Wissensmanagements. Weblogs as tool for enterprise knowledge management; support Communities of Practicehttp://www.bibsonomy.org/bibtex/2d58cd723d519ce0bc41240fdee50dc6b/boehr boehr 2008-07-03T10:49:13+02:00 CoP blog km
Weblogs als ein innovatives Instrument des betrieblichen Wissensmanagements.
Vanda Lehel and Florian Matthes and Klaus Steinfatt Mensch & Computer (2003)
to CoP blog km by boehr on 2008-07-03 10:49:13 ]]> Mensch & Computerconf/mc/2003Weblogs als ein innovatives Instrument des betrieblichen Wissensmanagements.2003CoP blog km 2008-07-03 10:49:13.0 Propagation Models for Trust and Distrust in Social Networks Propagation Models for Trust and Distrust in Social Networkshttp://www.bibsonomy.org/bibtex/2dacd24132be507ae6aed87e778584f2a/gwpl gwpl 2008-06-23T16:03:59+02:00 Social_Networks distrust trust trust_propagation
Propagation Models for Trust and Distrust in Social Networks
Cai-Nicolas Ziegler and Georg Lausen Information Systems Frontiers 7 337--358 (2005)
to Social_Networks distrust trust trust_propagation by gwpl on 2008-06-23 16:03:59 ]]> Hingham, MA, USAInformation Systems Frontiers4-5337--358Propagation Models for Trust and Distrust in Social Networks72005Social_Networks distrust trust trust_propagation 2008-06-23 16:03:59.0 Evolving Evolutionary Algorithms Using Multi Expression Programming http://www.bibsonomy.org/bibtex/2535c854776696bb78f2422baa42b1e47/brazovayeye brazovayeye 2008-06-19T17:46:40+02:00 algorithms, genetic programming
Evolving Evolutionary Algorithms Using Multi Expression Programming
Mihai Oltean and Crina Grosan Advances in Artificial Life. 7th European Conference on Artificial Life 651--658 (2003)
to algorithms, genetic programming by brazovayeye on 2008-06-19 17:46:40 ]]> Dortmund, GermanyAdvances in Artificial Life. 7th European Conference on Artificial Life14-17 September2801651--658Lecture Notes in Artificial IntelligenceEvolving Evolutionary Algorithms Using Multi Expression Programming2003algorithms, genetic programming 2008-06-19 17:46:40.0Finding the optimal parameter setting (i.e. the optimal population size, the optimal mutation probability, the optimal evolutionary model etc) for an Evolutionary Algorithm (EA) is a difficult task. Instead of evolving only the parameters of the algorithm we will evolve an entire EA capable of solving a particular problem. For this purpose the Multi Expression Programming (MEP) technique is used. Each MEP chromosome will encode multiple EAs. An nongenerational EA for function optimisation is evolved in this paper. Numerical experiments show the effectiveness of this approach. Evolving Developmental Programs for Adaptation, Morphogenesis, and Self-Repair http://www.bibsonomy.org/bibtex/2f5dc2eae93389c658bc04d2b42d83b09/brazovayeye brazovayeye 2008-06-19T17:46:40+02:00 algorithms, genetic programming
Evolving Developmental Programs for Adaptation, Morphogenesis, and Self-Repair
Julian F. Miller Advances in Artificial Life. 7th European Conference on Artificial Life 256--265 (2003)
to algorithms, genetic programming by brazovayeye on 2008-06-19 17:46:40 ]]> Dortmund, GermanyAdvances in Artificial Life. 7th European Conference on Artificial Life14-17 September256--265Lecture Notes in Artificial IntelligenceEvolving Developmental Programs for Adaptation, Morphogenesis, and Self-Repair28012003algorithms, genetic programming 2008-06-19 17:46:40.0A method for evolving a developmental program inside a cell to create multicellular organisms of arbitrary size and characteristics is described. The cell genotype is evolved so that the organism will organise itself into well defined patterns of differentiated cell types (e.g. the French Flag). In addition the cell genotypes are evolved to respond appropriately to environmental signals that cause metamorphosis of the whole organism. A number of experiments are described that show that the organisms exhibit emergent properties of self-repair and adaptation. Evolution von Laufrobotersteuerungen mit Genetischer Programmierung http://www.bibsonomy.org/bibtex/284c57fc0b39866526b75ae989e2e4648/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 Autonome Computational Evolution, Laufroboter, Roboter, Simulation algorithms, genetic intelligence, programming,
Evolution von Laufrobotersteuerungen mit Genetischer Programmierung
Jens Ziegler (2003)
to Autonome Computational Evolution, Laufroboter, Roboter, Simulation algorithms, genetic intelligence, programming, by brazovayeye on 2008-06-19 17:35:00 ]]> GermanyFachbereich 4; Universit{\"a}t DortmundJune~18Evolution von Laufrobotersteuerungen mit Genetischer Programmierung2003Autonome Computational Evolution, Laufroboter, Roboter, Simulation algorithms, genetic intelligence, programming, 2008-06-19 17:35:00.0Die Evolution von Laufrobotersteuerungen mit Genetischer Programmierung wird anhandunterschiedlicher Roboterarchitekturen sowohl in der Simulation als auch mit realen Roboternuntersucht. Bedingt durch die lang andauernden Auswertungen von Laufprogrammen in Simulationund Realit{\"a}t werden die Methoden der Evolution - Evaluation, Selektion und Variation zus{\"a}tzlicheiner gr{\"u}ndlichen Analyse unterzogen, um den evolution{\"a}ren Prozess zur automatischen Generierungvon optimierten Laufrobotersteuerungen m{\"o}glichst zu beschleunigen.Im ersten Teil der Arbeit werden Grundlagen der Evolution von Laufroboterprogrammen erl{\"a}utert. InKapitel 1 wird die Thematik der autonomen mobilen Roboter eingehend betrachtet, wobei dasTeilgebiet der Laufroboter und die speziell hierf{\"u}r relevanten Problemstellungen dargestellt werden.Das zweite Kapitel besch{\"a}ftigt sich mit der Genetischen Programmierung, einem Spezialfall derEvolution{\"a}ren Algorithmen. Die f{\"u}r die Arbeit ben{\"o}tigten Begriffe des evolution{\"a}ren Rechnens werdenvereinbart, sowie die grundlegenden Mechanismen evolution{\"a}rer Algorithmen aufgezeigt. Hierbei wirddetailliert auf die besonderen Eigenschaften der Genetischen Programmierung eingegangen. Im drittenKapitel werden die mathematischen Grundlagen der Dynamiksimulation von Laufrobotern -Kinematik, Dynamik, Kollisionserkennung - dargestellt.Der zweite Teil der Arbeit f{\"u}hrt in die Thematik der Evolution von Laufrobotersteuerungen ein. InKapitel 4 werden detailliert die generelle Zielsetzung und die verwendeten Methoden bei der Evolutionvon Robotersteuerungen beschrieben. Es wird hierbei besonders die Repr{\"a}sentation vonKontrollstrukturen autonomer Roboter in Evolution{\"a}ren Algorithmen und die Umsetzung auf reale odersimulierte Roboter diskutiert. Anschlie{\ss}end wird die Methodik f{\"u}r die Evolution vonLaufroboterprogrammen mit Genetischer Programmierung eingef{\"u}hrt. Die Notwendigkeit derEvolution mit simulierten und realen Robotern, sowie die M{\"o}glichkeit, beide Alternativen gleichzeitigzu verwenden, wird diskutiert.In Teil III der Arbeit werden die Experimente zur Evolution von Laufprogrammen pr{\"a}sentiert. InKapitel 7 wird das Laufzeitverhalten der Evolution von Laufroboterprogrammen untersucht. Kapitel 8zeigt die erfolgreiche Evolution von Laufprogrammen f{\"u}r eine Vielfalt von Roboterformen in derSimulation auf. Die Angabe eines G{\"u}tekriteriums ist essenziell f{\"u}r die Evolution von Laufmustern undwird eingehend diskutiert. Dargestellt werden die Auswirkungen verschiedener Varianten derFitnessfunktion auf die resultierenden Bewegungsmuster der Roboter. Im Kapitel 9 werden f{\"u}r einensowohl real als auch als Computermodell existierenden humanoiden Roboter Laufprogrammeevolviert. Die Ergebnisse von Evolutionsl{\"a}ufen mit vierbeinigen Laufrobotern werden in Kapitel 10vorgestellt. Die Resultate der Experimente unter Einbeziehung der interaktiven Evolution und derModellierung der Fitnessfunktion zeigen eine deutliche Verbesserung gegen{\"u}ber demStandardalgorithmus. Decreasing the Number of Evaluations in Evolutionary Algorithms by using a Meta-Model of the Fitness Function http://www.bibsonomy.org/bibtex/21b918c7cc1e460d1fd7d8b470f99bb99/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 algorithms, genetic programming
Decreasing the Number of Evaluations in Evolutionary Algorithms by using a Meta-Model of the Fitness Function
Jens Ziegler and Wolfgang Banzhaf Genetic Programming, Proceedings of EuroGP'2003 264--275 (2003)
to algorithms, genetic programming by brazovayeye on 2008-06-19 17:35:00 ]]> EssexGenetic Programming, Proceedings of EuroGP'200314-16 April264--275LNCSDecreasing the Number of Evaluations in Evolutionary Algorithms by using a Meta-Model of the Fitness Function26102003algorithms, genetic programming 2008-06-19 17:35:00.0In this paper a method is presented that decreases the necessary number of evaluations in Evolutionary Algorithms. A classifier with confidence information is evolved to replace time consuming evaluations during tournament selection. Experimental analysis of a mathematical example and the application of the method to the problem of evolving walking patterns for quadruped robots show the potential of the presented approach. Evolution and Growth of Virtual Plants http://www.bibsonomy.org/bibtex/2af9ed234c22d82ebf86b73ff37b0eebf/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 L-systems, algorithms, co-evolution genetic plants, programming, virtual
Evolution and Growth of Virtual Plants
Marc Ebner Advances in Artificial Life. 7th European Conference on Artificial Life 228--237 (2003)
to L-systems, algorithms, co-evolution genetic plants, programming, virtual by brazovayeye on 2008-06-19 17:35:00 ]]> Dortmund, GermanyAdvances in Artificial Life. 7th European Conference on Artificial Life14-17 September228--237Lecture Notes in Artificial IntelligenceEvolution and Growth of Virtual Plants28012003L-systems, algorithms, co-evolution genetic plants, programming, virtual 2008-06-19 17:35:00.0According to the Red Queen hypothesis, an evolving population may be improving some trait, even though its fitness remains constant. We have created such a scenario with a population of coevolving plants. Plants are modelled using Lindenmayer systems and rendered with OpenGL. The plants consist of branches and leaves. Their reproductive success depends on their ability to catch sunlight as well as their structural complexity. All plants are evaluated inside the same environment, which means that one plant is able to cover other plants leaves. Leaves which are placed in the shadow of other plants do not catch any sunlight. The shape of the plant also determines the area where offspring can be placed. Offspring can only be placed in the vicinity of a plant. A number of experiments were performed in different environments. The Red Queen effect was seen in all cases. Artificial Chemistries -- A Review http://www.bibsonomy.org/bibtex/2a52a07b60a7dbb46323b31f1776f674b/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 chemical complex computing emergence, evolution, life, molecular of origin self-organisation, simulation, systems,
Artificial Chemistries -- A Review
Peter Dittrich and Jens Ziegler and Wolfgang Banzhaf Artificial Life 7 225--275 (2001)
to chemical complex computing emergence, evolution, life, molecular of origin self-organisation, simulation, systems, by brazovayeye on 2008-06-19 17:35:00 ]]> Artificial LifeSummer3225--275Artificial Chemistries -- {A} Review72001chemical complex computing emergence, evolution, life, molecular of origin self-organisation, simulation, systems, 2008-06-19 17:35:00.0This article reviews the growing body of scientific work in artificial chemistry. First, common motivations and fundamental concepts are introduced. Second, current research activities are discussed along three application dimensions: modelling, information processing, and optimization. Finally, common phenomena among the different systems are summarized. It is argued here that artificial chemistries are {"}the right stuff{"} for the study of prebiotic and biochemical evolution, and the provide a productive framework for questions regarding the origin and evolution of organisations in general. Furthermore, artificial chemistries have a broad application range of practical problems, and shown in this review.