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- W4309189149 abstract "Contemporary swarm indicators are often used in isolation, focused on extracting information at the individual or collective levels. Consequently, these are seldom integrated to infer a top-level operating picture of the swarm, its members, and its overall collective dynamics. The primary contribution of this paper is to organise a suite of indicators about swarms into an ontologically-arranged collection of information markers to characterise the swarm from the perspective of an external observertextemdash, a recognition agent. Our contribution shows the foundations for a new area of research that we tile swarm analytics, whose primary concern is with the design and organisation of collections of swarm markers to understand, detect, recognise, track, and learn a particular insight about a swarm system. We present our designed framework of information markers that offer a new avenue for swarm research, especially for heterogeneous and cognitive swarms that may require more advanced capabilities to detect agencies and categorise agent influences and responses." @default.
- W4309189149 created "2022-11-24" @default.
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- W4309189149 date "2022-11-15" @default.
- W4309189149 modified "2023-09-28" @default.
- W4309189149 title "Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts" @default.
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- W4309189149 doi "https://doi.org/10.1177/10597123221137090" @default.
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