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.
Original language | English (US) |
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Pages (from-to) | 8238-8243 |
Number of pages | 6 |
Journal | IFAC-PapersOnLine |
Volume | 50 |
Issue number | 1 |
DOIs | |
State | Published - Jul 2017 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
Keywords
- bifurcation control
- bio-inspired control theory
- collective decision making
- design
- nonlinear dynamics