Multi-Agent Systems and Applications V
5th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2007, Leipzig, Germany, September 25-27, 2007, Proceedings
Buch in deiner Nähe kaufen
Beschreibung
The aim of the CEEMAS conference series is to provide a biennial forum for the presentation of multi-agent research and development results. With its p- ticular geographicalorientationtowards Central and EasternEurope, CEEMAS has become an internationally recognized event with participants from all over the world. After the successful CEEMAS conferences in St. Petersburg (1999), Cracow (2001), Prague (2003) and Budapest (2005), the CEEMAS 2007 c- ference took place in Leipzig. The Program Committee of the conference series consists of established researchers from the region and renowned international colleagues, showing the prominent rank of CEEMAS among the leading events in multi-agent systems. In the very competitive ?eld of agent-oriented conferences and workshops, (such as AAMAS, EUMAS, CIA, MATES) CEEMAS is special in trying to bridge the gap between applied research achievements and theoretical research activities. The ambition of CEEMAS is to provide a forum for presenting th- retical research with an evident application potential, implemented application prototypes and their properties, as well as industrial case studies of successful (or unsuccessful) agent technology deployments. This is why the CEEMAS p- ceedings provide a collection of research and application papers. The technical research paper section of the proceedings (see pages 1–290) contains pure - search papers as well as research results in application settings. The goal is to demonstrate the real-life value and commercial reality of multi-agent systems as well as to foster the communication between academia and industry in this ?eld.
Autor*in
Hans-Dieter Burkhard
Themen in »Multi-Agent Systems and Applications V«
Monitor agent applications agent communications agent interactions agent learning agent reasoning agents agents systems complexity knowledge learning multi-agent system ontology problem solving semantic web