An agent-based framework for bio-inspired, value-sensitive decision-making

Rebecca Gray, Alessio Franci, Vaibhav Srivastava, Naomi Ehrich Leonard

Research output: Contribution to journalArticle

4 Scopus citations

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 languageEnglish (US)
Pages (from-to)8238-8243
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
StatePublished - 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

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