Short Run Dynamics in an Artificial Futures Market with Human Subjects
This paper presents the computational results obtained in the strategy experiments in an artificial futures market with human subjects. Participants submit their own strategy files and they receive the performances of all the market participants in order
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Hujun Yin Peter Tino Emilio Corchado Will Byrne Xin Yao (Eds.)
Intelligent Data Engineering and Automated Learning – IDEAL 2007 8th International Conference Birmingham, UK, December 16-19, 2007 Proceedings
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Volume Editors Hujun Yin The University of Manchester Manchester, M60 1QD, UK E-mail: [email protected] Peter Tino Will Byrne Xin Yao University of Birmingham Birmingham B15 2TT, UK E-mail: {p.tino, w.f.byrne, x.yao}@cs.bham.ac.uk Emilio Corchado University of Burgos 09001 Burgos, Spain E-mail: [email protected]
Library of Congress Control Number: 2007941157 CR Subject Classification (1998): H.2.8, F.2.2, I.2, F.4, K.4.4, H.3, H.4 LNCS Sublibrary: SL 3 – Information Systems and Application, incl. Internet/Web and HCI ISSN ISBN-10 ISBN-13
0302-9743 3-540-77225-1 Springer Berlin Heidelberg New York 978-3-540-77225-5 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2007 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12202126 06/3180 543210
Preface
After a vibrant and successful event in Burgos, Spain, last year, this year’s international conference on Intelligent Data Engineering and Automated Learning— IDEAL 2007 (http://events.cs.bham.ac.uk/ideal07/)—was held in the second largest city of the UK, Birmingham. The IDEAL conference has become a unique multidisciplinary forum for researchers in both theoretical and practical aspects of learning and information processing, data mining, retrieval and
