Artificial Economics and Self Organization [electronic resource] : Agent-Based Approaches to Economics and Social Systems / edited by Stephan Leitner, Friederike Wall.
Contributor(s): Leitner, Stephan [editor.] | Wall, Friederike [editor.] | SpringerLink (Online service).
Material type:
BookSeries: Lecture Notes in Economics and Mathematical Systems: 669Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XV, 256 p. 88 illus., 49 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319009124.Subject(s): Artificial intelligence | Game theory | Physics | Economic theory | Macroeconomics | Economics | Economic Theory/Quantitative Economics/Mathematical Methods | Game Theory, Economics, Social and Behav. Sciences | Artificial Intelligence (incl. Robotics) | Complex Networks | Macroeconomics/Monetary Economics//Financial EconomicsAdditional physical formats: Printed edition:: No titleDDC classification: 330.1 Online resources: Click here to access online Methodological Issues -- Macroeconomics -- Market Dynamics -- Self-Organization of Decentralized Markets with Network Externality -- Financial Markets -- Organizations -- Networks.
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.
There are no comments for this item.