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Alignment as Biological Inspiration for Control of Multi-Agent Systems

In: Continuum Deformation of Multi-Agent Systems

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  • Hossein Rastgoftar

    (University of Michigan Ann Arbor, Department of Aerospace Engineering)

Abstract

In this chapter, a framework for the evolution of an MAS under alignment strategy is developed. This novel idea comes from the hypothesis that natural biological swarms do not perform peer-to-peer communication to sustain the group behavior as a collective. The group evolution is more likely based on what each individual agent perceives of its nearby agent’s behavior to control its own action. Most available engineering swarms rely on local interaction, where an individual agent requires precise state information of its neighboring agents to evolve. Here, agents of an MAS are considered as particles of a continuum (deformable Body) transforming under a homogeneous mapping. Using the key property of homogeneous transformation that two crossing straight lines in an initial configuration translate as two different crossing straight lines, agents can evolve collectively without peer-to-peer communication.

Suggested Citation

  • Hossein Rastgoftar, 2016. "Alignment as Biological Inspiration for Control of Multi-Agent Systems," Springer Books, in: Continuum Deformation of Multi-Agent Systems, chapter 0, pages 147-168, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-41594-9_5
    DOI: 10.1007/978-3-319-41594-9_5
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