Connectionist agent-based learning in bank-run decision making

• Main Authors: Huang, Weihong, Huang, Qiao
• Other Authors: School of Social Sciences
• Format: Article
• Language: English
• Published: 2019
• Subjects: Artificial Intelligence; DRNTU::Social sciences::Economic development; Stochastic Processes
• Online Access: https://hdl.handle.net/10356/106557; http://hdl.handle.net/10220/48942; http://dx.doi.org/10.1063/1.5022222
• Institution: Nanyang Technological University

It is of utter importance for the policy makers, bankers, and investors to thoroughly understand the probability of bank-run (PBR) which was often neglected in the classical models. Bank-run is not merely due to miscoordination (Diamond and Dybvig, 1983) or deterioration of bank assets (Allen and Ga...