群体网络中原子型仿真成员的一般模型

Zhaoyu Han, Hongbo Sun, Baode Fan, Yongguang Zhao
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引用次数: 2

摘要

人群网络是一个包含信息、意识和物理的深度集成系统。这些系统具有数据量大、开放性、自组织、生态化等特点。就其组成部分而言,数字化本身发生了巨大的变化。互联方式发生异质性变化,数字自我之间的互联在深度和广度上进一步深化。群体行为与智能的建模与仿真被广泛应用于许多领域和学科。本文提出了群体网络中数字自我仿真成员的通用模型,用于对数字自我的智能活动进行建模。总体模型可分为八个部分。这八个部分分别是模式、执行者、决定者、分解者、交互者、影响者、监视器和比较者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The General Model of Atom-type Simulation Members in Crowd Network
Crowd network is a deep integration system, which includes information, consciousness and physics. Those system are characterized by large amount of data, openness, self-organization and ecologization. In terms of its components, the digital itself has taken on great changes. There have been heterogeneity changes in the way of interconnection, and the interconnection among digital-selves has been further deepened in depth and breadth. Modeling and simulation of crowd behavior and intelligence is widely used in many fields and disciplines. This paper proposes a general model of simulation members for digital-self in crowd networks, which is used to modelling the intelligent activities of digital-selves. The general model can be separated into eight parts. These eiht parts are pattern, executor, decider, decompositor, interator, affector, monitor and comparator.
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