A multi-agent model for the reasoning of uncertainty information in supply chains
作者： Jing Li , Zhaohan Sheng
DOI: 10.1080/00207543.2010.524257
关键词:
摘要: In order to simulate the real world effectively, this paper proposes a multi-agent model that integrates price negotiation support system based on use of intelligent agents capable processing information uncertainty. The certainty factor is integrated in expert systems decision agents. model, each agent with an deal uncertainty information. A example supply chains chosen show validity proposed model. Virtual companies can decisions. Multiple experiments are conducted work coordination chain. selling and purchasing prices chain experimental results. These similar data optimal strategy for was programmed using Jess Swarm, which run Windows XP. beneficial th...
sci-hub.se 参考文章(28)
E. H. Shortliffe, S. G. Axline, F. S. Rhame, Mycin, a computer program providing antimicrobial therapy recommendations Clinical research. ,vol. 23, ,(1975)
Petra Ahrweiler, Andreas Pyka, Nigel Gilbert, INNOVATION NETWORKS-A SIMULATION APPROACH Journal of Artificial Societies and Social Simulation. ,vol. 4, pp. 8- 8 ,(2001)
Namho Lee, Kun Chang Lee, CARDS: Case-Based Reasoning Decision Support Mechanism for Multi-Agent Negotiation in Mobile Commerce Journal of Artificial Societies and Social Simulation. ,vol. 10, pp. 1- 4 ,(2007)
Wendelin Reich, Reasoning About Other Agents: a Plea for Logic-Based Methods Journal of Artificial Societies and Social Simulation. ,vol. 7, pp. 1- 4 ,(2004)
Sophie Thoyer, Gordon Rausser, Sylvie Morardet, Leo Simon, Patrick Rio, Rachel Goodhue, A bargaining model to simulate negotiations between water users Journal of Artificial Societies and Social Simulation. ,vol. 4, pp. 1- 6 ,(2001)
Yoichiro Maeda, Simulation for behavior learning of multi-agent robot Journal of Intelligent and Fuzzy Systems. ,vol. 6, pp. 53- 64 ,(1998)
Toshiya Kaihara, A multiagent-based complex systems approach for dynamic negotiation mechanism in virtual enterprise Robotics and Computer-Integrated Manufacturing. ,vol. 24, pp. 656- 663 ,(2008) , 10.1016/J.RCIM.2007.09.006
O KWON, G IM, K LEE, MACE-SCM: A multi-agent and case-based reasoning collaboration mechanism for supply chain management under supply and demand uncertainties Expert Systems With Applications. ,vol. 33, pp. 690- 705 ,(2007) , 10.1016/J.ESWA.2006.06.015
S. Kamal Chaharsooghi, Jafar Heydari, S. Hessameddin Zegordi, A reinforcement learning model for supply chain ordering management: An application to the beer game decision support systems. ,vol. 45, pp. 949- 959 ,(2008) , 10.1016/J.DSS.2008.03.007
Jingwen He, Hokyin Lai, Huaiqing Wang, None, A commonsense knowledge base supported multi-agent architecture Expert Systems with Applications. ,vol. 36, pp. 5051- 5057 ,(2009) , 10.1016/J.ESWA.2008.06.008