@book{FrZaFrZa91-Fbd, title = {Fehler bei der Arbeit mit dem Computer. Ergebnisse von Beobachtungen und Befragungen im Bürobereich}, address = {Bern, Göttingen, Toronto}, editor = {Michael Frese and Dieter Zapf}, publisher = {Verlag Hans Huber}, year = {1991}, biburl = {http://www.bibsonomy.org/bibtex/2ac0fe9878c8f01a589e4ee3d355d5b86/imtm}, imtm-standort = {Hauptbücherregal-2Q Hauptbücherregal}, isbn = {3-456-82107-7.}, imtm-signatur = {Fc 0032}, imtm-fullref = {Frese, Michael; Zapf, Dieter (Hrsg.) (1991): Fehler bei der Arbeit mit dem Computer. Ergebnisse von Beobachtungen und Befragungen im Bürobereich. Bern, Göttingen, Toronto: Verlag Hans Huber.}, imtm-code = {11264}, imtm-inventarnummer = {1998/267}, keywords = {Imtm-Bibliothek } } @article{ZapfFreundlich2008, title = {Bitte recht freundlich}, author = {Dieter Zapf}, journal = {Gehirn & Geist}, note = {mit Lit.-Angaben}, number = {6}, pages = {30-34}, volume = {2008}, year = {2008}, biburl = {http://www.bibsonomy.org/bibtex/2994ea2599886b8a870d7cf7142fa2d81/powidl}, keywords = {Arbeitswelt Emotionales_Verhalten Gefühl Kundenorientierung Lächeln } } @inproceedings{Weise:2007:HIS, title = {Genetic Programming meets Model-Driven Development}, address = {Kaiserslautern, Germany}, author = {Thomas Weise and Michael Zapf and Mohammad Ullah Khan and Kurt Geihs}, booktitle = {7th International Conference on Hybrid Intelligent Systems, HIS 2007}, editor = {Andreas K{\"o}nig and Mario K{\"o}ppen and Ajith Abraham and Christian Igel and Nikola Kasabov}, month = {17-19 September}, pages = {332--335}, publisher = {IEEE}, url = {http://www.it-weise.de/documents/files/WZKG2007DGPFg.pdf}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/2a8810ade180f1b7af3312cc219287cc9/brazovayeye}, abstract = {Genetic programming is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. In such cases it is most likely a hardwired module of a design framework that assists the engineer to optimise specific aspects of the system to be developed. It provides its results in a fixed format through an internal interface. In this paper we show how the utility of genetic programming can be increased remarkably by isolating it as a component and integrating it into the model-driven software development process. Our genetic programming framework produces XMI-encoded UML models that can easily be loaded into widely available modelling tools which in turn posses code generation as well as additional analysis and test capabilities. We use the evolution of a distributed election algorithm as an example to illustrate how genetic programming can be combined with model-driven development. This example clearly illustrates the advantages of our approach - the generation of source code in different programming languages.}, contents = {* Introduction\\* Genetic Programming and MDD\\- Model-Driven Development\\- Combining MDD and GP\\* Evolving Distributed Algorithms\\- Evolving an Election Algorithm\\* Creating a PIM\\- Control Flow Model\\- Data Model\\- Modeling the Primitive Operations\\* Transforming the UML Models\\* Conclusion}, isbn13 = {978-0-7695-2946-2}, language = {en}, notes = {also known as \cite{WZKG2007DGPFg} Library of Congress Number 2007936727, Product Number E2946. see http://his07.hybridsystem.com/}, doi = {doi:10.1109/ICHIS.2007.4344073}, keywords = {Algorithms Architecture, Development, Distributed Driven GP, MDA, MDD, MOF-Skript, Model UML, XMI, algorithms, genetic programming, } } @techreport{WZKG2007DGPFd, title = {Genetic Programming meets Model-Driven Development}, address = {University of Kassel, FB-16, Distributed Systems Group, Wilhelmsh{\"o}her Allee 73, 34121 Kassel, Germany}, author = {Thomas Weise and Michael Zapf and Mohammad Ullah Khan and Kurt Geihs}, institution = {University of Kassel}, month = {July~2,}, number = {2007, 2}, organization = {University of Kassel}, pages = {1--8}, type = {Kasseler Informatikschriften (KIS)}, url = {http://kobra.bibliothek.uni-kassel.de/handle/urn:nbn:de:hebis:34-2007070218 786}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/2e2af94503a38b8b097aebd153f2ae8ac/brazovayeye}, abstract = {Genetic programming is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. In such cases it is most likely a hardwired module of a design framework that assists the engineer to optimise specific aspects of the system to be developed. It provides its results in a fixed format through an internal interface. In this paper we show how the utility of genetic programming can be increased remarkably by isolating it as a component and integrating it into the model-driven software development process. Our genetic programming framework produces XMI-encoded UML models that can easily be loaded into widely available modelling tools which in turn posses code generation as well as additional analysis and test capabilities. We use the evolution of a distributed election algorithm as an example to illustrate how genetic programming can be combined with model-driven development. This example clearly illustrates the advantages of our approach - the generation of source code in different programming languages.}, copyright = {unrestricted}, language = {en}, notes = {Persistent Identifier: urn:nbn:de:hebis:34-2007070218786}, keywords = {Algorithms Architecture, Development, Distributed Driven GP, MDA, MDD, MOF-Skript, Model UML, XMI, algorithms, genetic programming, } } @techreport{ZW2007DGPFk, title = {Offline Emergence Engineering For Agent Societies}, author = {Michael Zapf and Thomas Weise}, institution = {University of Kassel, FB16, Distributed Systems Group, Wilhelmsh{\"o}her Allee 73, 34121 Kassel, Germany}, month = {December~7,}, number = {2007, 8}, type = {Kasseler Informatikschriften (KIS)}, url = {http://www.it-weise.de/documents/files/ZW2007EUMASTR.pdf}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/202c76879b9505493baacc2c57c0a3368/brazovayeye}, abstract = {Many examples for emergent behaviours may be observed in self-organising physical and biological systems which prove to be robust, stable, and adaptable. Such behaviors are often based on very simple mechanisms and rules, but artificially creating them is a challenging task which does not comply with traditional software engineering. In this article, we propose a hybrid approach by combining strategies from Genetic Programming and agent software engineering, and demonstrate that this approach effectively yields an emergent design for given problems.}, language = {en}, notes = {Persistent Identifier: urn:nbn:de:hebis:34-2007120719844}, keywords = {algorithms, genetic programming } } @inproceedings{ZW2007DGPFj, title = {Offline Emergence Engineering For Agent Societies}, address = {Elmouradi Hotel, Hammamet, Tunesia}, author = {Michael Zapf and Thomas Weise}, booktitle = {Proceedings of the Fifth European Workshop on Multi-Agent Systems EUMAS'07}, month = {December~14}, url = {http://www.it-weise.de/documents/files/ZW2007EUMASTR.pdf}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/240fd1fb2827bacc10b949fa56a1abb68/brazovayeye}, abstract = {Many examples for emergent behaviours may be observed in self-organising physical and biological systems which prove to be robust, stable, and adaptable. Such behaviors are often based on very simple mechanisms and rules, but artificially creating them is a challenging task which does not comply with traditional software engineering. In this article, we propose a hybrid approach by combining strategies from Genetic Programming and agent software engineering, and demonstrate that this approach effectively yields an emergent design for given problems.}, keywords = {Agents, Balancing, Emergence Emergence, Engineering, Load Mobile RBGP Robustness, algorithms, genetic programming, } } @inproceedings{WZG2007DGPFi, title = {Rule-based Genetic Programming}, address = {Radisson SAS Beke Hotel, 43. Terez krt., Budapest H-1067, Hungary}, author = {Thomas Weise and Michael Zapf and Kurt Geihs}, booktitle = {Proceedings of BIONETICS 2007, 2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems}, month = {December~10}, publisher = {Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST), IEEE, ACM}, url = {http://www.it-weise.de/documents/files/WZG2007RBGP.pdf}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/2036d5a977fbc3438d13384d5c466403e/brazovayeye}, abstract = {In this paper we introduce a new approach for Genetic Programming, called rule-based Genetic Programming, or RBGP in short. A program evolved in the RBGP syntax is a list of rules. Each rule consists of two conditions, combined with a logical operator, and an action part. Such rules are independent from each other in terms of position (mostly) and cardinality (always). This reduces the epistasis drastically and hence, the genetic reproduction operations are much more likely to produce good results than in other Genetic Programming methodologies. In order to verify the utility of our idea, we apply RBGP to a hard problem in distributed systems. With it, we are able to obtain emergent algorithms for mutual exclusion at a distributed critical section.}, isbn13 = {978-963-9799-05-9}, affiliation = {University of Kassel}, language = {en}, keywords = {Classifier Critical Distributed Epistasis, GP, Genetic Learning Neutrality, Programming, Rule-based Section, Systems Systems, algorithms, genetic programming, } } @techreport{WAGVZ2007DMC, title = {Evolving Classifiers -- Evolutionary Algorithms in Data Mining}, address = {University of Kassel}, author = {Thomas Weise and Stefan Achler and Martin G{\"{o}}b and Christian Voigtmann and Michael Zapf}, howpublished = {online}, institution = {University of Kassel}, month = {September~28,}, number = {2007, 4}, organization = {University of Kassel}, pages = {1--20}, publisher = {University of Kassel}, school = {University of Kassel}, type = {Kasseler Informatikschriften (KIS)}, url = {http://kobra.bibliothek.uni-kassel.de/handle/urn:nbn:de:hebis:34-2007092819260}, volume = {2007}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/2f9c8150b04024677b996a1d99c518fec/brazovayeye}, abstract = {Data mining means to summarise information from large amounts of raw data. It is one of the key technologies in many areas of economy, science, administration and the Internet. In this report we introduce an approach for using evolutionary algorithms to breed fuzzy classifier systems. This approach was exercised as part of a structured procedure by the students Achler, G{\"�}b, and Voigtmann as contribution to the 2006 Data-Mining-Cup contest, yielding encouragingly positive results.}, contents = {* Introduction\\* Data Mining\\* Related Work\\- Evolutionary Algorithms\\- Genetic Algorithms\\- Learning Classifier Systems\\* A Structured Approach to Data Mining\\* Applying the Structured Approach\\- The Problem Definition\\- Initial Analysis\\- Analysis of the Evolutionary Process\\- Contest Results and Placement\\* Conclusion and Future Work\\* References}, location = {University of Kassel}, affiliation = {University of Kassel, FB-16, Distributed Systems Group, Wilhelmsh{\"o}her Allee 73, 34121 Kassel, Germany}, language = {en}, notes = {Persistent Identifier: urn:nbn:de:hebis:34-2007092819260}, keywords = {2007, Algorithm, Classifier Computation, DMC Data Data-Mining-Cup, Evolutionary Genetic Learning Mining, System System, } } @inproceedings{BRZWG07a, title = {A Generative Approach to the Development of Autonomous Robot Software}, author = {Philipp A. Baer and Roland Reichle and Michael Zapf and Thomas Weise and Kurt Geihs}, booktitle = {Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems}, editor = {Ted Bapty Roy Sterrit}, month = {March}, organization = {IEEE}, pages = {43--52}, publisher = {IEEE}, url = {http://www.vs.uni-kassel.de/publications/2007/BRZWG07a}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/221018e3a17339a135e70a28855dcbd7f/phbaer}, keywords = {developent heterogeneity imported phbaer-pub robot robotic software spica year:2007 } } @book{[hrsg.]1994, title = {Institutionenvergleich und Institutionendynamik}, address = {Ed. Sigma}, annote = {379 S}, author = {{Wolfgang} Zapf [Hrsg.]}, howpublished = {Berlin}, url = {http://gso.gbv.de/DB=2.1/CMD?ACT=SRCHA&SRT=YOP&IKT=1016&TRM=ppn+132767058&sourceid=fbw_bibsonomy}, year = {1994}, biburl = {http://www.bibsonomy.org/bibtex/25d62ea0050ff9450a1d8d99631fe374b/fbw}, description = {imported}, isbn = {3-89404-290-7}, keywords = {imported } }