Artificial Economics and Self Organization Agent-Based Approaches to Economics and Social Systems / [electronic resource] :
edited by Stephan Leitner, Friederike Wall.
- XV, 256 p. 88 illus., 49 illus. in color. online resource.
- Lecture Notes in Economics and Mathematical Systems, 669 0075-8442 ; .
- Lecture Notes in Economics and Mathematical Systems, 669 .
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.
9783319009124
10.1007/978-3-319-00912-4 doi
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 Economics.
HB1-846.8
330.1
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.
9783319009124
10.1007/978-3-319-00912-4 doi
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 Economics.
HB1-846.8
330.1