Managing Market Complexity

1. Front Matter

   Pages i-xx

   PDF

2. Networks

   1. Front Matter

      Pages 1-1

      PDF

   2. Comparing Traffic Discrimination Policies in an Agent-Based Next-Generation Network Market

      • Simon Diedrich, Fernando Beltrán

      Pages 3-14

   3. Transformation Networks: A study of how technological complexity impacts economic performance

      • Christopher D. Hollander, Ivan Garibay, Thomas O’Neal

      Pages 15-26

   4. Contagion and Bank Runs in a Multi-Agent Financial System

      • Davide Provenzano

      Pages 27-38

   5. Innovation niche stability with a short-term policy intervention

      • Antonio Lopolito, Piergiuseppe Morone, Richard Taylor

      Pages 39-50

3. Macroeconomics

   1. Front Matter

      Pages 51-51

      PDF

   2. Dynamics of probabilistic labor markets: statistical physics perspective

      • He Chen, Jun-ichi Inoue

      Pages 53-64

   3. Integrating the housing market into an agent-based economic model

      • Einar Jón Erlingsson, Marco Raberto, Hlynur Stefánsson, Jón Thór Sturluson

      Pages 65-76

4. Finance

   1. Front Matter

      Pages 77-77

      PDF

   2. Inequality and Financial Markets - A Simulation Approach in a Heterogeneous Agent Model

      • Thomas Fischer

      Pages 79-90

   3. Risk Aversion Impact on Investment Strategy Performance: A Multi Agent-Based Analysis

      • Olivier Brandouy, Philippe Mathieu, Iryna Veryzhenko

      Pages 91-102

   4. The shark game: equilibrium with bounded rationality

      • Lucian Daniel Stanciu-Viziteu

      Pages 103-111

5. Industrial organization

   1. Front Matter

      Pages 113-113

      PDF

   2. A stylized model for the continuous double auction

      • Tijana Radivojević, Jonatha Anselmi, Enrico Scalas

      Pages 115-125

   3. Sense making and information in an agent-based model of cooperation

      • Caterina Cruciani, Anna Moretti, Paolo Pellizzari

      Pages 127-139

   4. Comparing system-marginal-price versus pay-as-bid auctions in a realistic electricity market scenario

      • Eric Guerci, Mohammad Ali Rastegar

      Pages 141-153

   5. Heterogeneous Learning in Bertrand Competition with Differentiated Goods

      • Dávid Kopányi

      Pages 155-166

6. Management

   1. Front Matter

      Pages 167-167

      PDF

   2. Talent management in triadic organizational architectures

      • Marco LiCalzi, Lucia Milone

      Pages 169-181

The field of artificial economics (AE) embraces a broad range of methodologies relying on computer simulations in order to model and study the complexity of economic and social phenomena. The overarching principle of AE is the analysis of aggregate properties of artificial economies populated by adaptive agents that are equipped with behavioural rules and specific individual targets. These aggregate properties are neither foreseen nor intended by the artificial agents; conversely they are emerging characteristics of such artificially simulated systems. The book presents a peer-reviewed collection of papers addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issues.

• Adaptive Agents
• Artificial Economics
• Complexity
• Economic Theory

• , Economics, Universitat Jaume I, Castellon de la Plana, Spain

  Andrea Teglio, Simone Alfarano, Eva Camacho-Cuena, Miguel Ginés-Vilar

Andrea Teglio is Visiting Professor at the Economics Department of University Jaume I of Castellon. He holds a PhD in Electronic and Computer Science Engineering (University of Genova) and a PhD in Economics (Universitat Jaume I of Castellon). His main research interests are agent-based modeling in economics and the study of nonlinear dynamical systems.

Simone Alfarano is Associate Professor of Economics at the Universitat Jaume I in Castellón (Spain). He obtained his MSc in Theoretical Physics at the University of Cagliari (1999) and his PhD in Quantitative economics in 2006 at the University of Kiel. His main research interest include agent-based applied to the theory of financial markets, theory of networks and experimental economics.

Eva Camacho is Associate Professor of Economics at the Universitat Jaume I in Castellón (Spain). PhD in Economics from the University Jaume I since 2002. Her main research interests include industrial economics, environmental economics, experimental economics or individual decision making.

Miguel Ginés is an Associate Professor at the University Jaume I of Castellón. He obtained his PhD in Economics by the University of Alicante (Spain) and two years of Post-doctoral Fellowship at the University of Minnesota (USA). His main interests are Cooperative Game theory, in particular Social Choice and the public provision of public goods.

Policies and ethics