Spatial Clustering by Schelling's Ants

被引：0
|
作者：
Gulyas, Laszlo [1 ]
机构：
[1] Eotvos Lorand Univ, Acad Innovat Dept Artificial Intelligence, Fac Informat, Inst Ind, Budapest, Hungary
来源：
ADVANCES IN COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2022 | 2022年 / 1653卷
关键词：
D O I：
10.1007/978-3-031-16210-7_47
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper revisits a distributed, collective spatial clustering algorithm motivated by ants and points out its fundamental similarity to one of the most cited and earliest agent-based models. Based on this observation, a novel variant of the algorithm is proposed and its behavior and performance is studied.
引用
收藏
页码：579 / 586
页数：8
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