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Published by Springer Berlin Heidelberg, 2009
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Published by Springer Berlin Heidelberg, 1998
ISBN 10: 3540654771 ISBN 13: 9783540654773
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume contains revisedversions of selected papers presented at the Fourth Australian Workshop on Distributed Arti cial Intelligence (DAK 91), together with a set of invited papers. Each paper has been reviewed by at least two program committee members. The workshop was held in Brisbane, Queensland, Australia on July 17,1992. The goalof the workshopwas to promoteresearchin distributed arti cial intelligence and multi-agent systems, both nationally and internationally. Thepapers covera widerangeofissuesin the eldof distributed arti cial intelligence and multi-agent systems, such as theories, languages, and applications. Manypeoplecontributedtothesuccessofthis workshop. Wewouldliketothank all the authors who submitted papers to the workshop. Many thanks also to the members of the programme committee who diligently reviewed all the papers submitted. Finally, we thank the editorial sta of Springer-Verlag for publishing this contribution to the Lecture Notes in Arti cial Intelligence series. October 1998 Chengqi Zhang and Dickson Lukose Programme Committee Chengqi Zhang (Co-Chair) University of New England, Australia Dickson Lukose (Co-Chair) Brightware Inc. , USA Victor Lesser University of Massachusetts, USA Je rey S. Rosenschein Hebrew University, Israel Toshiharu Sugawara NTT Basic Research Labs, Japan Rose Dieng ACACIA Project, INRIA, France Norbert Glaser CRIN-INRIA Lorraine, France Sascha Ossowski Rey Juan Carlos Univ, Spain Michael Luck University of Warwick, UK Mark d Inverno University of Westminster, UK Tim Norman University of London, UK Douglas Norrie University of Calgary, Canada Bernard Moulin Laval University, Canada Zhisheng Huang University of London, UK Minjie Zhang Edith Cowan University, Australia Brahim Chaib-draa Laval University, Canada Table of Contents TeamFormationbySelf-InterestedMobileAgents . . . . . . . . . . . . . . . . . . . . . . . . . .
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ISBN 10: 364203666X ISBN 13: 9783642036668
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The research of holonic and agent-based systems is developing very rapidly. The community around this R&D topic is also growing fast - despite the fact that the real-life practical implementations of such systems are still surprisingly rare. H- ever, the managers in different branches of industry feel that the holonic and agent-based systems represent the only way of managing and controlling very c- plex, highly distributed systems exploring vast volumes of accumulated knowledge. The relevant research and development activities gain more and more visible support from both industry as well as public sectors. Quite naturally, the number of scientific events aimed at the subject field is also growing rapidly. We see new lines of conf- ences like INDIN, we observe a strong focus of the already well-established conferences, e. g. , INCOM or ETFA, being shifted toward holonic and agent-based manufacturing systems. We see an increased interest of the IEEE System, Man and Cybernetics Society, especially its Technical Committee on Distributed Intelligent Systems which leverages the experience gathered by the members of the former Ho- nic Manufacuting Systems (HMS) consortium. We see a clear orientation of the IEEE SMC Transactions, part C, toward applications of agent-oriented solutions. The same is true of the International Journal on Autonomous Agents and Multi-Agent Systems (JAAMAS). This is a really good sign of the increasing importance of the field.
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Published by Springer-Verlag GmbH, 2010
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Published by Springer-Verlag New York Inc, 2010
ISBN 10: 3642135404 ISBN 13: 9783642135408
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Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2010
ISBN 10: 3642135404 ISBN 13: 9783642135408
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Add to basketTaschenbuch. Condition: Neu. Neuware - Presented experiments show that usage ofevolutionary approach to feature - duction is justi ed.Feature selection as well as construction gives goodresults. It is noticeable that attribute construction s best results assign higher classi - tion accuracy than feature selection alone.That is why, carrying out selection before construction to decrease searchingspace isagoodsolution. Because of indeterministicbehavior of neuralnetworks,it was di cultto - ducefeaturesetincaseofusingthemto evaluatecandidateresults.Forexample, aneuralnetworklearntverywellondatathatwasdescribedbyfullattribute set, but when thisset was decreased it had huge problems to do this duringrequired number ofepochs.That suggests that usingC4.5 ismuchmore preferred. Numerous experiments havebeen performed and observed.Analysis ofabove results allowsto put the hypothesisthat it is worth to use Construction module as the feature set reduction. But experiments show that Constructormodule does not work sowell whenitusesthe whole initial set offeatures the search space istoo large.Soit is worth to use rstly Selectorand nextConstructor. The second important issue isthatConstructor destructs the semanticmeaning of the features.New constructed features are notunderstandableforusers.In some real-liveproblems measuring offeature values isquite expensive, forsuch problems selector seems to be more suitable because itdiminishes a number of realfeatures.To constructonefeaturesa number ofreal(measured)featurescan be required. Obtainedresults haveencouragedus to extendour system,especiallythe c- structormodule.Weplan to developenlarged set offunctionsFwhich allowsto use the system with data containingdi erenttype offeatures,not only nume- cal. Such system will be veri ed usingagreater number ofbenchmark data sets as well as real data. Acknowledgments. This work ispartially nanced fromthe Ministryof S- ence and Higher Education Republic of Polandresources in 2008 2010 years as a Poland Singapore joint research project 65/N-SINGAPORE/2007/0.
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2010
ISBN 10: 3642134793 ISBN 13: 9783642134791
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Add to basketTaschenbuch. Condition: Neu. Neuware - Simulation and Decision Making, Multi-Agent Applications, Management and e-Business, Mobile Agents and Robots, and Machine Learning. In addition to the main tracks of the symposium there were the following five special sessions: Agent- Based Optimization (ABO2010), Agent-Enabled Social Computing (AESC2010), Digital Economy (DE2010), Using Intelligent Systems for Information Technology Assessment (ISITA2010) and a Doctoral Track. Accepted and presented papers highlight new trends and challenges in agent and multi-agent research. We hope these results will be of value to the research com- nity working in the fields of artificial intelligence, collective computational intel- gence, robotics, machine learning and, in particular, agent and multi-agent systems technologies and applications. We would like to express our sincere thanks to the Honorary Chairs, Romuald Cwilewicz, President of the Gdynia Maritime University, Poland, and Lakhmi C. Jain, University of South Australia, Australia, for their support. Our special thanks go to the Local Organizing Committee chaired by Ireneusz Czarnowski, who did very solid and excellent work. Thanks are due to the Program Co-chairs, all Program and Reviewer Committee members and all the additional - viewers for their valuable efforts in the review process, which helped us to guarantee the highest quality of selected papers for the conference. We cordially thank the - ganizers and chairs of special sessions, which essentially contributed to the success of the conference.
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