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pro vyhledávání: '"Reid, Darryn"'
An emerging challenge in swarm shepherding research is to design effective and efficient artificial intelligence algorithms that maintain a low-computational ceiling while increasing the swarm's abilities to operate in diverse contexts. We propose a
Externí odkaz:
http://arxiv.org/abs/2211.12560
Swarm Analytics: Designing Information Markers to Characterise Swarm Systems in Shepherding Contexts
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 o
Externí odkaz:
http://arxiv.org/abs/2208.12386
Intelligent agents powered by AI planning assist people in complex scenarios, such as managing teams of semi-autonomous vehicles. However, AI planning models may be incomplete, leading to plans that do not adequately meet the stated objectives, espec
Externí odkaz:
http://arxiv.org/abs/2104.14089
Publikováno v:
Swarm Intelligence; Dec2024, Vol. 18 Issue 4, p275-310, 36p
In this paper we analyze crowd turbulence from both classical and quantum perspective. We analyze various crowd waves and collisions using crowd macroscopic wave function. In particular, we will show that nonlinear Schr\"{o}dinger (NLS) equation is f
Externí odkaz:
http://arxiv.org/abs/1105.3274
We propose an entropic geometrical model of crowd behavior dynamics (with dissipative crowd kinematics), using Feynman action--amplitude formalism that operates on three synergetic levels: macro, meso and micro. The intent is to explain the dynamics
Externí odkaz:
http://arxiv.org/abs/0906.5415
We propose an entropic geometrical model of psycho-physical crowd dynamics (with dissipative crowd kinematics), using Feynman action-amplitude formalism that operates on three synergetic levels: macro, meso and micro. The intent is to explain the dyn
Externí odkaz:
http://arxiv.org/abs/0809.4069
This paper extends our recently developed Life Space Foam (LSF) model of motivated cognitive dynamics \cite{IA}. LSF uses adaptive path integrals to generate Lewinian force--fields on smooth manifolds, in order to characterize the dynamics of individ
Externí odkaz:
http://arxiv.org/abs/0806.0690
Akademický článek
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Supplemental Material for Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts by Adam J Hepworth, Aya Hussein, Darryn J Reid and Hussein A Abbass in Adaptive Behavior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d41fcb9e5b0c86dfe5083c75f35e3a72