Mobile agents' dynamic small-world network based on attention mechanism
Rong Xie · 2020
To solve the issues of high communication cost and slow information transmission in the applications of agents' collaboration, in the paper, we propose an approach to the construction of dynamic small-world network based on attention mechanism. Small-world model is applied to handle information exchange among agents. During the movement to destination, agent obtains individual historical optimal position through self-attention mechanism, and obtains local optimal position of k-neighbor through local attention mechanism, enabling search for the next optimal position. The experimental results verify effectiveness of our method, as well as stability and invulnerability which can adapt to dynamic changes.