Mutual Information and Multi-Agent Systems

被引：0
|
作者：
Moskowitz, Ira S. [1 ]
Rogers, Pi [2 ]
Russell, Stephen [3 ]
机构：
[1] Naval Res Lab, Code 5580, Washington, DC 20375 USA
[2] 2022 SEAP Summer Intern Naval Res Lab, Washington, DC 20375 USA
[3] Jackson Hlth Syst, 1500 NW 12th Ave, Miami, FL 33136 USA
来源：
ENTROPY | 2022年 / 24卷 / 12期
关键词：
multi-agent system; mutual information; channel capacity; information geometry; CAPACITY;
D O I：
10.3390/e24121719
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
We consider the use of Shannon information theory, and its various entropic terms to aid in reaching optimal decisions that should be made in a multi-agent/Team scenario. The methods that we use are to model how various agents interact, including power allocation. Our metric for agents passing information are classical Shannon channel capacity. Our results are the mathematical theorems showing how combining agents influences the channel capacity.
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页数：26
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