Agent-based approach to complex systems modeling
Agent-based approach to complex systems modeling
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DOI：
10.1016/j.ejor.2004.03.041
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发表时间：
2005-11
期刊：
影响因子：
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通讯作者：
M. Ryoke;Y. Nakamori
中科院分区：
文献类型：
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作者：
M. Ryoke;Y. Nakamori
在本文中，我们提出了一种方法来检测复杂数据库中的局部系统结构。复杂的数据库被视为由混合的数字和名义属性，和本地系统结构表示的“如果-那么”规则。局部系统结构的检测是一项重要的任务，并且涉及相互依赖的问题。“if-then”规则检测中涉及的问题包括找到共享共同兴趣的对象，然后找到表征这些对象的if-then规则。为了解决这些问题，提出了一种基于Agent的方法。每个代理的作用是根据数据点（对象）的相似性收集数据点（对象），用于混合数据和检测规则。相似性的引入，使代理可以处理混合数据库。每个代理将占据数据库的一部分作为其领土根据预定义的算法，代理试图扩大或减少其领土。
In this paper, we propose a method for detection of local system structures in a complex database. The complex database is viewed as consisting of mixed numeric and nominal attributes, and the local system structure as expressed by “if–then” rules. The detection of local system structures is an important task, and is concerned with inter-dependent issues. The issues involved in the detection of “if–then” rules include finding the objects that share common interests and then finding if–then rules that characterize those objects. To deal with these issues, an agent-based approach is proposed. Each agent has the role of collecting data points (objects) based on their similarity, for mixed data and detecting a rule. The similarity is introduced so that the agent can handle a mixed database. Each agent will occupy a part of the database as its territory according to the predefined algorithm with which agents try to expand or reduce their territories.