This book constitutes the refereed proceedings of the 5th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2007, held in Leipzig, Germany, September 25-27, 2007.

The 29 revised full papers and 17 revised short papers presented together with an invited paper were carefully reviewed and selected from 84 submissions. The papers cover a wide range of areas such as: scalability and reconfigurability of multi agent systems; deployment scenarios exploiting synergies of multi agent systems and other related technologies like grid, web services and semantic web; applications of multi agent systems in design and manufacturing, transport and logistics, space applications, tourism industry, e-commerce and many other application areas.

Humanexpertsarenotsystemsofrules,theyarelibrariesofexperiences. Riesbeck and Schank (1989, p.15) Broadlyspeaking,case-basedreasoning(CBR)is concernedwith solvingnew problems by adapting solutions that worked for similar problems in the past. As with Arti cial Intelligence in general, case-based reasoning deals with two di erent aspects of intelligence: A r st motivation is to establish cog- tive models in order to understand human thinking and behavior. A second motivationis to buildsystemswhichhelpto solvereal-worldproblems.These twofacetscanbeconsideredastwosidesofthesamecoin.Traditionally,CBR researchinEuropehasconcentratedverymuchonthesecondaspect,though, of course, successful projects are not possible without a sound theory. The objective of this book is to summarize the results of recent years of research in CBR. A strong emphasis is put on projects performed and - plications developed in Germany. However, research has not been performed in isolation. Rather, a large number of cooperations between research sites throughout the world have been established which provided a fertile ground for the community. Hence, it is only natural that work from colleagues from France, Ireland, the Netherlands, and the United States has been included in this volume. This book is not intended to be a textbook giving a comprehensive overview of the eld. Rather, the objective is to consider in detail di - ent potential application areas, to work out the pros and cons of using CBR and to summarize the lessons learned from projects. For this, we assume that the reader already has at least a basic understanding of what case-based reasoning is all about.