Artificial Economics and Self Organization [electronic resource] : Agent-Based Approaches to Economics and Social Systems / edited by Stephan Leitner, Friederike Wall.

Contributor(s):

Series: 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 resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319009124

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

330.1 23

LOC classification:

HB1-846.8

Online resources:

Click here to access online

Contents:

Methodological Issues -- Macroeconomics -- Market Dynamics -- Self-Organization of Decentralized Markets with Network Externality -- Financial Markets -- Organizations -- Networks.

In: Springer eBooksSummary: 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.

Item type:

eBooks

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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.