Abstract: Communication can guarantee the coordinated behavior in the multi-agent systems. However, in many real-world problems, communication may not be available at every time because of limited bandwidth, noisy environment or communication cost. In this paper, we introduce an algorithm to develop a communication strategy for cooperative multi-agent systems in which the communication is limited. This method employs a fuzzy model to estimate the benefit of communication for each possible situation. This specifies minimal communication that is necessary for successful joint behavior. An incremental method is also presented to create and tune our fuzzy model that reduces the high computational complexity of the multi-agent systems. We use several standard benchmark problems to assess the performance of our proposed method. Experimental results show that the generated communication strategy can improve the performance as well as full-communication strategy, while the agents utilize little communication.

Sam Hamzeloo and Mansoor Zolghadri Jahromi. “Developing Communication Strategy for Multi-Agent Systems with Incremental Fuzzy Model”. International Journal of Advanced Computer Science and Applications (IJACSA) 9.8 (2018). http://dx.doi.org/10.14569/IJACSA.2018.090822

@article{Hamzeloo2018,
title = {Developing Communication Strategy for Multi-Agent Systems with Incremental Fuzzy Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090822},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090822},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {8},
author = {Sam Hamzeloo and Mansoor Zolghadri Jahromi}
}