Titlebook: Artificial Economics; Agent-Based Methods M. Beckmann,H. P. Künzi,Olivier Brandouy Conference proceedings 2006 Springer-Verlag Berlin Heid

CAGE

Xiangzhou Xu,Tongxin Zhu,Hongwu Zhang,Lu Gaohen, given the obtained graph and its exogenous surplus (the .), they bargain on the split. We claim that, when the surplus from connections is super-additive, the bargaining process can be solved with the . allocation rule, an adaptation of Shapley’s to graphs. This will lead to an (only theoretica

PANEL

Allergic

A Brief History of Experimental Ethicss among order distributions affect the rate of investment returns (RI) and contract rate (CR). In this study, we compared several order distributions (OD) using U-Mart (Unreal Market as an Artificial Research Testbed), an artificial market simulation system. We also controlled the type of time serie

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小鹿

MAIM

Pitfalls in Experimental Economicsce of individual agents behaviors on global price dynamics. In this article, we show with the help of computational simulations that these two types of agents can generate classical market dynamics as well as perturbed ones (bubbles and kraches).

mortuary

Market Dynamics and Agents Behaviors: a Computational Approachce of individual agents behaviors on global price dynamics. In this article, we show with the help of computational simulations that these two types of agents can generate classical market dynamics as well as perturbed ones (bubbles and kraches).

能量守恒

0075-8442 and emergence: it intensively uses computer simulations as well as artificial intelligence, mostly based on multi-agents systems. The purpose of this book is to give an up-to date view of the scientific production in the fields of Agent-based Computational Economics (mainly in Market Finance and Gam

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Adriaan W. C. Dorresteijn,Bernhard Klugeounterexample for bullwhip effect such that inventory level of upstream firm was not always larger than that of downstream firm. In addition, contrary to our intuition, such a counterexample was frequently observed under the condition that (1) the number of firms in a supply chain was many, and that (2) the length of delay was rather longer.

Expediency

A Counterexample for the Bullwhip Effect in a Supply Chainounterexample for bullwhip effect such that inventory level of upstream firm was not always larger than that of downstream firm. In addition, contrary to our intuition, such a counterexample was frequently observed under the condition that (1) the number of firms in a supply chain was many, and that (2) the length of delay was rather longer.