TY - JOUR
T1 - Extremely localized interaction in a market model
AU - Sasai, Kazuto
AU - Gunji, Yukio Pegio
AU - Kinoshita, Tetsuo
N1 - Publisher Copyright:
© 2016, ISAROB.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - The model of self-organized criticality (SOC) is a useful tool to understand the complexity of natural systems in the form of the artificial life and the artificial market. However, SOC remains the question what guarantees the criticality even though the natural systems seem to keep itself in the critical state. In this paper, we focus on the locality of interaction in zero-intelligence plus (ZIP) model. The extremely localized interaction changes the behavior of the ZIP model from equilibrium to intermittency. Although the original ZIP model falls into unstable with some noise, extremely localized interaction model archives robust intermittency against the noise parameter. Further, the statistical property of intermittent behavior shows the power-law nature.
AB - The model of self-organized criticality (SOC) is a useful tool to understand the complexity of natural systems in the form of the artificial life and the artificial market. However, SOC remains the question what guarantees the criticality even though the natural systems seem to keep itself in the critical state. In this paper, we focus on the locality of interaction in zero-intelligence plus (ZIP) model. The extremely localized interaction changes the behavior of the ZIP model from equilibrium to intermittency. Although the original ZIP model falls into unstable with some noise, extremely localized interaction model archives robust intermittency against the noise parameter. Further, the statistical property of intermittent behavior shows the power-law nature.
KW - Agent-based modeling
KW - Localized interaction
KW - Market model
KW - Power-law
UR - http://www.scopus.com/inward/record.url?scp=84994399682&partnerID=8YFLogxK
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U2 - 10.1007/s10015-016-0334-1
DO - 10.1007/s10015-016-0334-1
M3 - Article
AN - SCOPUS:84994399682
SN - 1433-5298
VL - 22
SP - 125
EP - 129
JO - Artificial Life and Robotics
JF - Artificial Life and Robotics
IS - 1
ER -