Multi-agent based simulation of a smart insurance using Blockchain technology

被引:4
|
作者
Meskini, F. Z. [1 ]
Aboulaich, R. [1 ]
机构
[1] Mohammed V Univ, Mohammadia Sch Engn EMI, Lab Appl Math Studies & Res LERMA, Islamic Financial Engn Lab IFE Lab, Rabat, Morocco
关键词
Multi-agent based modeling; Blockchain; Smart contracts; Takaful; smart insurance; cryptocurrency;
D O I
10.1109/icds47004.2019.8942270
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this project, a smart insurance model based on mutual aid, sharing and full transparency is suggested. To develop this model, financial technologies can help. Actually, Blockchain, which is a new technology of data transmission, transparent and secure, has a great potential able to create an enormous progress in the financial sector, particularly for insurance companies. Combining this technology with smart contracts will surely enable them to save time, reduce costs and thus, give a better Customer Service. In this paper, we suggest as example of insurance, a model based on Takaful. For this purpose, we study the suggested model by analyzing the improvements given by blockchain and smart contracts technologies. Then, we analyze model performance to evaluate its impact in the context of different customers and insurance companies, through the software of complex systems simulation "Netlogo".
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Simulation of Pedestrian Flow Based on Multi-Agent
    Tong, Weiping
    Cheng, Lin
    INTELLIGENT AND INTEGRATED SUSTAINABLE MULTIMODAL TRANSPORTATION SYSTEMS PROCEEDINGS FROM THE 13TH COTA INTERNATIONAL CONFERENCE OF TRANSPORTATION PROFESSIONALS (CICTP2013), 2013, 96 : 17 - 24
  • [32] Scalable Multi-agent Simulation Based on MapReduce
    Ahlbrecht, Tobias
    Dix, Juergen
    Fiekas, Niklas
    MULTI-AGENT SYSTEMS AND AGREEMENT TECHNOLOGIES, EUMAS 2016, 2017, 10207 : 364 - 371
  • [33] Multi-agent Based Simulation of Traffic in Vietnam
    The Duy Bui
    Duc Hai Ngo
    Cong Tran
    PRINCIPLES AND PRACTICE OF MULTI-AGENT SYSTEMS, 2012, 7057 : 636 - 648
  • [34] Multi-agent based simulation: Where are the agents?
    Drogoul, A
    Vanbergue, D
    Meurisse, T
    MULTI-AGENT-BASED SIMULATION II, 2003, 2581 : 1 - 15
  • [35] Simulation for Collaborative Competition Based on Multi-Agent
    Ge, Zhiyuan
    Liu, Jiamei
    CUTTING-EDGE RESEARCH TOPICS ON MULTIPLE CRITERIA DECISION MAKING, PROCEEDINGS, 2009, 35 : 251 - 257
  • [36] Simulation of Multi-agent Manufacturing Systems using Agent-based Modelling Platforms
    Barbosa, Jose
    Leitao, Paulo
    2011 9TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2011,
  • [37] Insurance services in multi-agent systems
    Lam, YH
    Zhang, ZL
    Ong, KL
    AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2005, 3809 : 664 - 673
  • [38] Insurance 4.0: The use of blockchain technology and of Smart Contracts in the Insurance Sector
    Püttgen F.
    Kaulartz M.
    ERA Forum, 2017, 18 (2) : 249 - 262
  • [39] Demand side management in smart grid by multi-agent systems technology
    Et-Tolba, El Hassan
    Maaroufi, Mohamed
    Ouassaid, Mohammed
    2014 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2014, : 1042 - 1045
  • [40] MODELING AND SIMULATION OF VIRTUAL COMPLEX COALMINE ENVIRONMENT SYSTEMS USING MULTI-AGENT TECHNOLOGY
    Tang, Chaoli
    Wang, Chunling
    Qu, Liguo
    Ling, Liuyi
    ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2014, 13 (05): : 1111 - 1126