Meeting the Challenge of Social Problems via Agent-Based Simulation: Post Proceedings of The Second International Workshop on Agent Based Approaches in Economic and Social Complex Systems
Social sciences are moving to the next stage. One ofthe promising methodologies is agent-based computer simulation. In a series ofworkshops on Agent-Based Ap proaches in Economic and Social Complex Systems (AESCS), ground-breaking studies of complex economic and social phenomena using computational approaches are being presented and discussed. This volume contains papers selected from pre sentations at the AESCS '02 held at the University ofTokyo, Japan, on August 16, 2002. The workshop was the second in a series ofPacific Rim activities in interdis ciplinary areas of social and computational sciences, the first workshop having been held in Shimane, Japan, May 21-22, 2001. The objective of AESCS workshops is to promote worldwide multidisciplinary activities in multiagent computational economics, organizational science, social dynamics, and complex systems. AESCS brings together researchers and practitio ners from diverse fields, such as computer science, economics, physics, sociology, psychology, and complex theory, in order to understand emergent and collective phenomena in economic, organizational, and social systems.AESCS also provides an opportunity for discussion ofthe effectiveness and limitations ofcomputational models and methodologies for the social sciences. The second AESCS workshop focused on the importance ofcumulative progress in agent-based simulation in the social sciences through discussions ofcommon tasks, standard computational models, replication and validation issues, and evalu ation and verification criteria for the results.
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Economics as Distributed Computation
RD Investment and Capital Investment
Wealth Distribution in ScaleFree Networks
An Artificial Market Testbed for Economics and Multiagent Systems
The Statistical Properties of Price Fluctuation by Computer Agent in UMart Virtual Futures Market Simulator
Study on a Dynamic Resource Allocation for a Communication Network Based on a Marketbased Model
HumanAgent Participation in a Business Simulator
A Role of Micromacro Loop for Knowledge Creation by Heterogeneous Agents
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Agent-based computational Agent-based computational economics agent-based modeling agent-based simulation AgentSheets Arifovic artificial market artificial stock market auction Axtell bandwidth BMDL Bullard and Duffy business networks business simulator Chen and Yeh Chen S.-H cobweb model common knowledge Complex System convergence cross-model validation crowd density currency Database decision define degree distribution Deguchi demand developed distributed computation dynamics economic equilibrium exchange rate experiments forecast function future gatekeepers genetic algorithms He/She moves heterogeneous human players implementation inflation initial interactions Itayose Japan knowledge representation knowledge sharing knowledge trading knowledge transaction kurtosis learning mechanisms macroeconomics maximization multi-agent systems Nash equilibrium OLG model paper parameter pedestrian population power law distribution price fluctuation private knowledge production R&D investment random rational expectations resource allocation round scale-free networks shows simulation results small-world network software agents strategy threshold time-slot toolkit U-Mart U-Mart system variables wealth distribution X-MAS