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- W2765900902 abstract "Abstract We 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." @default.
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- W2765900902 date "2017-07-01" @default.
- W2765900902 modified "2023-10-03" @default.
- W2765900902 title "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" @default.
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- W2765900902 doi "https://doi.org/10.1016/j.ifacol.2017.08.1392" @default.
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