Artificial Economics and Self Organization
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 systems’ behavior.
| ISBN: | 9783319009117 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 256 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Leitner, Stephan Wall, Friederike |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 27.08.2013 |
| Untertitel: | Agent-Based Approaches to Economics and Social Systems |
| Schlagworte: | Adaptive Agents Agent-Based Systems Complexity Economic Systems Social Systems |
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.