Collective Behavior as Assembling of Spatial Puzzles
作者： Angélica Muñoz Meléndez , Alexis Drogoul , Pierre-Emmanuel Viel
DOI: 10.1007/978-3-540-24694-7_93
关键词: Artificial intelligence 、 Association (object-oriented programming) 、 Robot 、 Human–computer interaction 、 Collective behavior 、 Mechanism (sociology) 、 Space (commercial competition) 、 Set (psychology) 、 Point (geometry) 、 Simple (abstract algebra) 、 Computer science
摘要: This paper describes how collective behavior can be achieved using simple mechanisms based on local information and low-level cognition. Collective is modeled analyzed from the spatial point of view. Robots have a set internal tendencies, such as association repulsion, that enable them to interact with other robots. Each robot has space around its body represents piece puzzle. The robots’ goal find pieces puzzle, associate remain associated for long possible. Experiments queuing this puzzle-like mechanism are analyzed.
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