Editors:
- Complete view on recent results in modeling the trade on
- complex multi-commodity infrastructural markets
- Carefully edited outcome of the scientific workshop
- Modeling Multi-commodity Trade: Information Exchange Methods, which took place in November 2010 at Warsaw University of Technology
- Written by leading experts in the field
Part of the book series: Advances in Intelligent and Soft Computing (AINSC, volume 121)
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Table of contents (11 chapters)
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Front Matter
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Multi-commodity Market Model (M3) Fundamentals
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Front Matter
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M3 Applications
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Front Matter
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About this book
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.
Editors and Affiliations
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, Institute of Control and Computation Eng, Warsaw University of Technology, Warsaw, Poland
Mariusz Kaleta
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, Institute of Control and Computation Eng, Warsaw University of Technology, Warszawa, Poland
Tomasz Traczyk
Bibliographic Information
Book Title: Modeling Multi-commodity Trade: Information Exchange Methods
Editors: Mariusz Kaleta, Tomasz Traczyk
Series Title: Advances in Intelligent and Soft Computing
DOI: https://doi.org/10.1007/978-3-642-25649-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2012
Softcover ISBN: 978-3-642-25648-6Published: 13 February 2012
eBook ISBN: 978-3-642-25649-3Published: 09 February 2012
Series ISSN: 1867-5662
Series E-ISSN: 1867-5670
Edition Number: 1
Number of Pages: XVI, 192
Topics: Computational Intelligence, Artificial Intelligence, e-Commerce/e-business, IT in Business