The Complex Networks of Economic Interactions

Essays in Agent-Based Economics and Econophysics

  • Akira Namatame
  • Taisei Kaizouji
  • Yuuji Aruka
Conference proceedings

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 567)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Econophysics

    1. Front Matter
      Pages 1-1
    2. Masanao Aoki, Hiroshi Yoshikawa
      Pages 17-36
    3. Davide Fiaschi, Andrea Mario Lavezzi
      Pages 37-59
    4. Giovanna Devetag, Edoardo Gaffeo, Mauro Gallegati, Gianfranco Giulioni
      Pages 61-76
  3. Complex Economic Network

    1. Front Matter
      Pages 77-77
    2. Wataru Souma, Yoshi Fujiwara, Hideaki Aoyama
      Pages 79-92
    3. Rainer Andergassen, Franco Nardini, Massimo Ricottilli
      Pages 93-106
  4. Economic Dynamics

    1. Front Matter
      Pages 107-107
    2. Luca Colombo, Gerd Weinrich
      Pages 125-138
    3. Jürgen Mimkes
      Pages 139-152
    4. Yuichi Ikeda, Osamu Kubo, Yasuhiro Kobayashi
      Pages 153-162
  5. Agent-based Modeling

  6. Auction and Two-sided Matching

    1. Front Matter
      Pages 207-207
    2. Konrad Richter
      Pages 209-223
    3. Silvano Cincotti, Sergio M. Focardi, Linda Ponta, Marco Raberto, Enrico Scalas
      Pages 239-247
  7. Minority Games and Collectie Intelligence

    1. Front Matter
      Pages 249-249
    2. Sehyo Charley Choe, Sean Gourley, Neil F. Johnson, Pak Ming Hui
      Pages 251-264
    3. Kiyoshi Izumi, Tomohisa Yamashita, Koichi Kurumatani
      Pages 265-278
    4. Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Shinya Sato, Toshiharu Sugawara
      Pages 279-289
  8. Game-theoretic Approach

    1. Front Matter
      Pages 291-291
    2. Eizo Akiyama, Yuji Aruka
      Pages 307-320
    3. Maria Cristina Peixoto Matos, Manuel Alberto M. Ferreira
      Pages 321-334
    4. Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani
      Pages 335-347
  9. Back Matter
    Pages 349-350

About these proceedings


Understanding the mechanism of a socio-economic system requires more than an understanding of the individuals that comprise the system. It also requires understanding how individuals interact with each other, and how the agg- gated outcome can be more than the sum of individual behaviors. This book contains the papers fostering the formation of an active multi-disciplinary community on socio-economic systems with the exciting new ?elds of age- based modeling and econophysics. We especially intend to increase the awareness of researchers in many ?elds with sharing the common view many economic and social activities as collectives of a large-scale heterogeneous and interacting agents. Economists seek to understand not only how individuals behave but also how the interaction of many individuals leads to complex outcomes. Age- based modeling is a method for studying socio-economic systems exhibiting the following two properties: (1) the system is composed of interacting agents, and (2) the system exhibits emergent properties, that is, properties arising from the interactions of the agents that cannot be deduced simply by agg- gating the properties of the system’s components. When the interaction of the agents is contingent on past experience, and especially when the agents continually adapt to that experience, mathematical analysis is typically very limited in its ability to derive the outcome.


Agent Modeling for Market Microstructure Design Agent-Based Models Econophysics Emergent Aggregate Behaviors Financial Markets with Heterogeneous Agents Simulation agents calculus information theory

Editors and affiliations

  • Akira Namatame
    • 1
  • Taisei Kaizouji
    • 2
  • Yuuji Aruka
    • 3
  1. 1.Department of Computer ScienceNational Defense AcademyYokosukaJapan
  2. 2.Division of Social SciencesInternational Christian University (ICU)Osawa, Mitaka, TokyoJapan
  3. 3.Department of CommerceChuo UniversityTokyoJapan

Bibliographic information