scholarly journals A Game Theory Approach for Multi-agent System Resources Allocation against Outside Threats

Author(s):  
Cheng-Kuang Wu ◽  
Xingwei Hu
2014 ◽  
Vol 926-930 ◽  
pp. 2790-2794
Author(s):  
Xiao Ping Wan ◽  
Shu Yu Li

Multi-Agent System for task allocation problem, the introduction of game theory for dynamic task allocation modeling Multi-Agent Systems,Multi-Agent System proposed dynamic task allocation algorithm based on game theory.Experimental results show that the lower complexity of dynamic task allocation algorithm based on game theory in this article, the smaller amount of calculation,better robustness,task allocation scheme to obtain higher quality,with higher distribution


2019 ◽  
Vol 47 (8) ◽  
pp. 703-719 ◽  
Author(s):  
Chunxia Dou ◽  
Xiaodong Pan ◽  
Zhanqiang Zhang ◽  
Dong Yue ◽  
Shiyun Xu ◽  
...  

2020 ◽  
Vol 31 (2) ◽  
pp. 279-289
Author(s):  
Jie Zhang ◽  
Gang Wang ◽  
Shaohua Yue ◽  
Yafei Song ◽  
Jiayi Liu ◽  
...  

Author(s):  
Constanta-Nicoleta Bodea ◽  
Radu-Ioan Mogos

The chapter presents UNIRA, a multi-agent system developed by the authors for a Romanian university in order to improve the resources allocation for educational programmes and courses. Different types of resources are required to deliver programmes and courses. Considering a set of resources inquires, issued by programmes and courses, UNIRA system performs a transparent negotiation process between the managers of these resources, to find the solution for the allocation problem. During the initial stage of the multi-agent system deployment, only two types of resources are considered, professors and teaching rooms. The system is now in the validation phase. After the complete validation, the system will be integrated into the university management system. The UNIRA experience is relevant not exclusively for the academic resources management, but also for a large variety of domains, including the load distribution, production planning, computer scheduling, portfolio selection, and apportionment.


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