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The process of building knowledge and communication of social systems emulated by multiagent systems capable of cause and emerging learning

机译:能够进行因果关系和新兴学习的多主体系统模拟建立社会系统的知识和进行交流的过程

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摘要

Social systems are systems that share information multidisciplinary set. The systems are intelligent and filter information according depository complex information stored in long term memory, separated into categories, coded and classified into patterns that are integrated object storage anchored through language. The standards will be activated stored, reused and reworked in the process of information retrieval by providing learning in a continuous process of modification of information through the interactions. This article discusses how the process of organizing and categorizing terms for information retrieval is emulated by a possible platform for multi-agent systems based on lexicons for better care of emergency situations, thus allowing systems smarter in visits to emergency calls, able emerging learning.
机译:社会系统是共享信息多学科集合的系统。该系统是智能的,并根据长期存储在存储库中的复杂信息来过滤信息,分为多个类别,编码并分类为模式,这些模式是通过语言锚定的集成对象存储。通过在交互作用下不断修改信息的过程中提供学习,可以在信息检索过程中激活,存储,重用和重做这些标准。本文讨论了如何通过基于词典的多代理系统的可能平台来模拟信息检索术语的组织和分类过程,从而更好地处理紧急情况,从而使系统更智能地访问紧急呼叫,并能够进行新兴学习。

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