Market mechanisms are entering into new fields of economy, in which some constraints of physical world, e.g. Kirchoffs Law in power grid, must be taken into account during trading. On such markets, some of commodities, like telecommunication bandwidth or electrical energy, appear to be non-storable, and must be exchanged in real-time. On the other hand, the markets tend to react at shortest possible time, so an idea to delegate some competency to autonomous software agents is very attractive.

Multi-commodity mechanism addresses the aforementioned requirements. Modeling the relationships between the commodities allows to formulate new, more sophisticated models and mechanisms, which reflect decision situations in a better manner.

Application of multi-commodity approach requires solving several issues related to data modeling, communication, semantics aspects of communication, reliability, etc. This book answers some of the questions and points out promising paths for implementation and development. Presented solutions are based on Multi-commodity Market Model (M3 ), which enables modeling of rich variety of possible market designs.

The book contains revised versions of papers presented during scientific workshop "Modeling Multi-commodity Trade: Information exchange methods", which took place in November 2010 at Warsaw University of Technology.

Résumé

This book contains revised versions of papers presented on scientific workshop Modeling Multi-commodity Trade: Information exchange methods, which took place in November 2010 atWarsaw University of Technology. It summarizes results of the research work supported so far by scientific grant Methods and architectures of information interchange for electronic trade on infrastructural markets (see page xi), and some earlier research work on multi-commodity markets modeling. Though partial results of the research were published earlier, the book gives the most complete view on results of our research in the field of modeling the trade on complex multi-commodity infrastructural markets.

Contenu
From the content: M3 motivations and formal model.- M3 data structures.- Communication models used in the context of multi-commodity trade.- Integration between Web services and multi-agent systems with applications for multi-commodity markets.- Application of the multi-agent systems in the context of the multi-commodity market model M3.- A SemanticWeb approach to the M3 model.- Reliability aspects of multi-commodity markets.