Agent-Based Approaches in Economic and Social Complex Systems VI: Post-Proceedings of The AESCS International Workshop 2009Shu-Heng Chen, Takao Terano, Ryuichi Yamamoto Agent-based modeling/simulation is an emergent approach to the analysis of social and economic systems. It provides a bottom-up experimental method to be applied to social sciences such as economics, management, sociology, and politics as well as some engineering fields dealing with social activities. This book includes selected papers presented at the Sixth International Workshop on Agent-Based Approaches in Economic and Social Complex Systems held in Taipei in 2009. We have 39 presentations in the conference, and 14 papers are selected to be included in this volume. These 14 papers are then grouped into six parts: Agent-based financial markets; Financial forecasting and investment; Cognitive modeling of agents; Complexity and policy analysis; Agent-based modeling of good societies; and Miscellany. The research presented here shows the state of the art in this rapidly growing field. |
Contents
Part II Financial Forecasting and Investment | 32 |
Part III Cognitive Modeling of Agents | 59 |
Part IV Complexity and Policy Analysis | 85 |
Part V AgentBased Modeling of Good Societies | 133 |
Part VI Miscellany | 175 |
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| 200 | |
Other editions - View all
Agent-Based Approaches in Economic and Social Complex Systems VI: Post ... Shu-Heng Chen,Takao Terano,Ryuichi Yamamoto No preview available - 2014 |
Agent-Based Approaches in Economic and Social Complex Systems VI: Post ... Shu-Heng Chen,Takao Terano,Ryuichi Yamamoto No preview available - 2011 |
Common terms and phrases
according activities agent-based agent-based modeling agents algorithm alternative amount analysis application approach attitude authors average behavior boundary organization centrality complex computational consider consists currency decision defined distance distribution economics effect emission evaluation example exchange rate experts factors flow forecasting function given human impact increase indicates inhabitants interactions Japan layer learning mean measures mechanism method neural network neurons observed opinions outcomes pair parameter participant pension system performance period portfolio positive possible prediction probability proposed ratio reducing References released represents respectively selection series data short shown shows simulation social society step strategy structure Table term theory traders train uncertainties University variables weight