Alignment as Biological Inspiration for Control of Multi-Agent Systems

Hossein Rastgoftar
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Hossein Rastgoftar: University of Michigan Ann Arbor, Department of Aerospace Engineering

Chapter Chapter 5 in Continuum Deformation of Multi-Agent Systems, 2016, pp 147-168 from Springer

Abstract: 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.

Keywords: Homogeneous Transformation; Neighboring Agents; Nearby Agents; Secondary Lead; Follower Agents (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-41594-9_5

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DOI: 10.1007/978-3-319-41594-9_5

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