同时活动的数据驱动概念结构

Farzad Amirjavid, A. Bouzouane, B. Bouchard
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引用次数: 4

摘要

活动是由智能系统为实现目标而在环境中发生的一系列模糊事件。一个目标可以通过多人的努力来实现。无论从情报来源的物理实体(形式和位置)和执行活动的个人数量;对于每一个可能的目标或活动,我们考虑一个智能来源,它指导世界上发生的模糊事件的顺序。通过对世界的频繁观察,应用模糊逻辑的扩展对世界驱动背后的计划进行建模。我们处理的主要关键点是对观察结果的分析,以便对可能由一个或多个个人计划和实现的可能同时进行的活动做出推断。形式化了每个单独和同时进行的活动的模糊概念结构;然而,该模型可以容忍与活动结构的部分偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data driven conceptual structures for simultaneous activities
An activity is a chain of fuzzy events that occur in an environment caused by an intelligent system in order to achieve a goal. A goal may be achieved by effort of more than one individual. Regardless from the physical entity (modality and location) of the intelligence source and the quantity of individuals who perform the activities; per each possible goal or activity, we consider a source of intelligence who directs the order of fuzzy events that occur in the world. By frequently observation of the world, the plan behind world actuations is modeled applying extensions of the fuzzy logic. The main key point that we deal with is the analysis of the observations in order to make inferences about possible simultaneous activities that may be planned and realized by one or more individuals. A fuzzy conceptual structure for each individual and simultaneous activity is formalized; however, the model tolerates partial deviations from the activity structure.
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