As Multi-Agent Systems (MASs) become increasingly involved in every aspect of everyday life, the need to maintain reliability and resilience within these systems grows. However, there is a need for co..
As Multi-Agent Systems (MASs) become increasingly involved in every aspect of everyday life, the need to maintain reliability and resilience within these systems grows. However, there is a need for control schemes and agent behaviors that provide security against these threats while also avoiding large degradation in system performance as a tradeoff. Current research has covered a wide breadth of avenues and strategies that provide measurable resilience to faulted agents. However, these strategies often require group consensus, specialized observer agents, or identification of faulted agents, which can weaken overall system performance. This work presents an alternative solution through individual agent behaviors. These behaviors are taken from the strategies that insects use to resist fungal infections. Preliminary data shows these biologically inspired behaviors present emergent swarm resilience to faulted agents and malicious spreading faults.
