An Agent Model to Represent Informational Components

2021 ◽  
pp. 53-72
Keyword(s):  
2009 ◽  
Vol 29 (2) ◽  
pp. 412-415
Author(s):  
Qiang LU ◽  
Ming CHEN ◽  
Zhi-guang WANG

2007 ◽  
Author(s):  
Adam Gehr ◽  
Gurupdesh S. Pandher
Keyword(s):  

2010 ◽  
Vol 1 (2) ◽  
pp. 7
Author(s):  
Daniel Maurico Alarcón Lozano ◽  
Matteo Mandrile

This article provides an overview of the current development of branchless banking in Colombia, within the context ofthe Government’s strategy to promote access to financial services through non-bank correspondents (NBC). It describes the Colombian legal and regulatory framework for branchless banking, focusing on the recent reforms and types of retailers permitted to serve as agents. Also, it examines the traditionalbanking sector’s interest in branchless banking, and shows the available platforms for the implementation of banking agent networks. It highlights the potential of branchlessbanking solutions for the Colombian microfinance institutions (MFI), identifying a new agent model that puts MFI centre-stage. The article concludes with a series of recommendationsfor the development of branchless banking as a tool to expand financial acces, taking into account issues that still have the potential to affect the degree of customeracceptance and its economic viability.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4873
Author(s):  
Biao Xu ◽  
Minyan Lu ◽  
Hong Zhang ◽  
Cong Pan

A wireless sensor network (WSN) is a group of sensors connected with a wireless communications infrastructure designed to monitor and send collected data to the primary server. The WSN is the cornerstone of the Internet of Things (IoT) and Industry 4.0. Robustness is an essential characteristic of WSN that enables reliable functionalities to end customers. However, existing approaches primarily focus on component reliability and malware propagation, while the robustness and security of cascading failures between the physical domain and the information domain are usually ignored. This paper proposes a cross-domain agent-based model to analyze the connectivity robustness of a system in the malware propagation process. The agent characteristics and transition rules are also described in detail. To verify the practicality of the model, three scenarios based on different network topologies are proposed. Finally, the robustness of the scenarios and the topologies are discussed.


Sign in / Sign up

Export Citation Format

Share Document