Distinguishing the Leading Agents in Classification Problems Using the Entropy-Based Metric-Reference-Cited by-同舟云学术

Distinguishing the Leading Agents in Classification Problems Using the Entropy-Based Metric

Published:2024-04-05 Issue:4 Volume:26 Page:318
ISSN:1099-4300
Container-title:Entropy
language:en
Short-container-title:Entropy

Author:

Kagan Evgeny¹^ORCID,Ben-Gal Irad²^ORCID

Affiliation:

1. Department of Industrial Engineering, Ariel University, Ariel 4076414, Israel

2. Department of Industrial Engineering, Tel Aviv University, Tel Aviv 6997801, Israel

Abstract

The paper addresses the problem of distinguishing the leading agents in the group. The problem is considered in the framework of classification problems, where the agents in the group select the items with respect to certain properties. The suggested method of distinguishing the leading agents utilizes the connectivity between the agents and the Rokhlin distance between the subgroups of the agents. The method is illustrated by numerical examples. The method can be useful in considering the division of labor in swarm dynamics and in the analysis of the data fusion in the tasks based on the wisdom of the crowd techniques.

Publisher

MDPI AG

Link

https://www.mdpi.com/1099-4300/26/4/318/pdf

Reference28 articles.

1. Elections in a distributed computing system;IEEE Trans. Comput.,1982

2. Kim, T.W., Kim, E.H., Kim, J.K., and Kim, T.Y. (1995, January 28–30). A leader election algorithm in a distributed computing system. Proceedings of the Fifth IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems, Cheju, Republic of Korea.

3. Guo, M., Tumova, J., and Dimarogonas, D.V. (2014, January 15–17). Cooperative decentralized multi-agent control under local tasks and connectivity constraints. Proceedings of the 53rd IEEE Conference on Decision and Control, Los Angeles, CA, USA.

4. Clark, A., Bushnell, L., and Poovendran, R. (2012, January 10–13). On leader selection for performance and controllability in multi-agent systems. Proceedings of the 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), Maui, HI, USA.

5. Walker, P., Amraii, S.A., Lewis, M., Chakraborty, N., and Sycara, K. (2014, January 5–8). Control of swarms with multiple leader agents. Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA.