标题：An agent-based framework for bio-inspired, value-sensitive decision-making * * This research has been supported in part by NSF grant CMMI-1635056, ONR grant N00014-14-1-0635, and UNAM-DGAPA grant PAPIIT RA105816
摘要：AbstractWe propose a generalizable framework that uses tools of nonlinear dynamics to rigorously connect model-based investigation of the mechanisms of animal group decision-making dynamics to systematic, bio-inspired design of coordinated control of multi-agent systems. We focus on the design of networked multi-agent system dynamics that inherit the remarkable features of value-sensitive decision-making observed in house-hunting honeybees. These features include robustness and adaptability in decision-making, all of which are critical for performance in complex, changing environments.
关键词：Keywordscollective decision makingbio-inspired control theorydesignnonlinear dynamicsbifurcation control
