© 2014

Artificial Economics and Self Organization

Agent-Based Approaches to Economics and Social Systems

  • Stephan Leitner
  • Friederike Wall

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 669)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Methodological Issues

    1. Front Matter
      Pages 1-1
    2. Klaus G. Troitzsch
      Pages 17-28
  3. Macroeconomics

    1. Front Matter
      Pages 29-29
    2. Susanna Calimani, Paolo Pellizzari
      Pages 41-53
    3. Andrea Teglio, Silvano Cincotti, Einar Jon Erlingsson, Marco Raberto, Hlynur Stefansson, Jon Thor Sturluson
      Pages 55-67
  4. Market Dynamics

    1. Front Matter
      Pages 69-69
    2. Chih-Hao Lin, Sai-Ping Li, K. Y. Szeto
      Pages 71-80
    3. Xintong Li, Chao Wang, Yougui Wang
      Pages 81-94
    4. Wanting Xiong, Han Fu, Yougui Wang
      Pages 107-118
  5. Financial Markets

    1. Front Matter
      Pages 119-119
    2. Olivier Brandouy, Philippe Mathieu
      Pages 121-132
    3. A. Barazzetti, F. Cecconi, R. Mastronardi
      Pages 133-145
    4. Michael Roos, Anna Klabunde
      Pages 147-159
    5. Mitja Steinbacher, Matjaz Steinbacher, Matej Steinbacher
      Pages 161-175
  6. Organizations

    1. Front Matter
      Pages 177-177
    2. Doris A. Behrens, Silvia Berlinger, Friederike Wall
      Pages 179-190

About this book


This volume presents recent advances in the dynamic field of Artificial Economics and its various applications. Artificial Economics provides a structured approach to model and investigate economic and social systems. In particular, this approach is based on the use of agent-based simulations and further computational techniques. The main aim is to analyze the outcomes at the overall systems’ level as results from the agents’ behavior at the micro-level. These emergent characteristics of complex economic and social systems can neither be foreseen nor are they intended. The emergence rather makes these systems function. Artificial Economics especially facilitates the investigation of this emergent system´s behavior. ​


Adaptive Agents Agent-Based Systems Complexity Economic Systems Social Systems

Editors and affiliations

  • Stephan Leitner
    • 1
  • Friederike Wall
    • 2
  1. 1.Department for Controlling and Strategic ManagementAlpen-Adria-Universität KlagenfurtKlagenfurtAustria
  2. 2.Department for Controlling and Strategic ManagementAlpen-Adria-Universität KlagenfurtKlagenfurtAustria

About the editors

Stephan Leitner is Assistant Professor at the Department for Controlling and Strategic Management at the Alpen-Adria-Universität Klagenfurt. Among others, his research interests include information quality, agency theory and the robustness of agency models, multi objective decision-making, and sustainability. The application of agent-based simulation as a research methodology to questions of management science characterizes an important part of his research.

Friederike Wall is Full Professor and Head of the Department for Controlling and Strategic Management at the Alpen-Adria-Universität Klagenfurt. Her research interests cover subjects like agent-based models in managerial accounting, quality of information in management accounting and control, managerial decision-behavior in case of noisy information systems. In her research she primarily uses agent-based simulation techniques.

Bibliographic information