High survivability of a large colony through a small-world relationship

Kubo, Masao; Sato, Hiroshi; Matsubara, Takashi; Melhuish, Chris

Abstract

In this article, energy trophallaxis, i.e., distributed autonomous energy management methodology inspired by social insects and bat behavior, and its advantages, are shown by a series of computer simulations to address the survivability of organized groups of agents in a dynamic environment with uncertainty. The uncertainty of the agents' organizational behavior is represented by two Lévy distributions. By carefully controlling energy donation behavior based on these distributions, we can examine the survivability of a larger group that traditional methods cannot analyze. As a result, even a small degree of friendship throughout the organization makes the group's survivability improve dramatically. © 2009 International Symposium on Artificial Life and Robotics (ISAROB).

• Journal Article Type: Article
• Publication Date: Nov 1, 2009
• Deposit Date: Nov 4, 2010
• Journal: Artificial Life and Robotics
• Print ISSN: 1433-5298
• Electronic ISSN: 1614-7456
• Publisher: Springer (part of Springer Nature)
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 2
• Pages: 168-173
• DOI: https://doi.org/10.1007/s10015-009-0646-5
• Keywords: energy autonomy, energy sharing, robot trophallaxis, swarm robotics, distributed robotics, critical systems
• Public URL: https://uwe-repository.worktribe.com/output/1004393
• Publisher URL: http://dx.doi.org/10.1007/s10015-009-0646-5
• Contract Date: Apr 12, 2016