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首页> 外文期刊>BRAIN. Broad Research in Artificial Intelligence and Neurosciences >Modeling Self-Organizing Systems with Social Insects Algorithms
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Modeling Self-Organizing Systems with Social Insects Algorithms

机译:用社交昆虫算法建模自组织系统

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Self-organization is common in natural systems. This tutorialdescribes some of these systems, speciˉcally from insect societies like in bees, termites or ant colonies. In a first part, a modeling process is explained. Objects and phenomena targeted by these methods are presented. Naturalor social complex systems are the context of these objects and phenomena. Basic algorithms presented for example in [8] are given. These algorithms belongs to the class of swarm intelligence methods describing how a network of interacting entities can lead to emergent properties of the whole system. In a second part, more original applications are presented, based on extensions of these basic algorithms in order to model ecosystems, urban dynamics or to propose a decentralized method to distribute simulations over dynamicalcommunication graphs.
机译:自组织在自然系统中很常见。本教程描述了其中的某些系统,特别是来自昆虫社会的系统,如蜜蜂,白蚁或蚁群。在第一部分中,说明了建模过程。介绍了这些方法所针对的对象和现象。自然或社会复杂系统是这些对象和现象的背景。给出了例如[8]中提出的基本算法。这些算法属于群体智能方法,它描述了相互作用的实体网络如何导致整个系统的新兴特性。在第二部分中,基于这些基本算法的扩展,提出了更多原始应用程序,以便对生态系统,城市动态建模或提出一种分散的方法来在动态通信图上分布模拟。

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