By T. Terano, H. Kita, H. Deguchi, K. Kijima
The chapters of this publication are the chosen papers from these awarded on the 3rd overseas Workshop on Agent-Based methods in monetary and Social advanced platforms held in Tokyo, Japan in 2005. Articles disguise methodological matters, computational model/software, mixture with gaming simulation, and real-world purposes to fiscal, management/organizational and social matters.
Read or Download Agent-Based Approaches in Economic and Social Complex Systems IV: Post Proceedings of The AESCS International Workshop 2005 (Springer Series on Agent Based Social Systems) PDF
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Extra info for Agent-Based Approaches in Economic and Social Complex Systems IV: Post Proceedings of The AESCS International Workshop 2005 (Springer Series on Agent Based Social Systems)
2005) and the representation of bargaining (Kirman and Vriend 2001; Brenner 2002; Rouchier 2004). Rouchier (2004) describes the same market as ours, but without reproducing any complex negotiations. Her paper gives us, first, a description of the real market which is a source of inspiration to build our model. Second, the fact that the model is based on the reality is very interesting and we adopted this approach in this paper. Brenner (2002) studies the dynamics of market prices under the assumption of behavioral learning by sellers and buyers.
However, there is no guarantee that the organization conducts the operation in full accordance with the policy. We need to contrive the expressions of the game. ~> A corporate manager controls the organization indirectly with the operating policy, and the organization basically conforms to the policy but not necessarily in perfect coordination, and 3) Corporate managers are always required to attain the financial performance and are not valued with the results of corporate revolutions. We need to express both of the short-term profit and the long-term vision in the game.
Notice that these budget constraints do not allow agents to consume or invest by borrowing. e. ,M. (4) Pm,t Rearranging Equation (4), we obtain the market equilibrium price of asset m: Y^at:fsr-wu I pm,t — (5) 3 The Agent-Based Multi-Asset Artificial Stock Market An agent-based computational version of the Blume-Easley-Sandroni standard multi-asset model is developed in . One of the mainstays of the agent-based computational economics is autonomous agents. () The idea of autonomous agents was initially presented in .