A Connectionist ABM of Social Categorization Processes
A Connectionist ABM of Social Categorization Processes
复制标题
社会分类过程的联结主义 ABM
DOI：
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发表时间：
2012
影响因子：
0.4
通讯作者：
Dirk Van Rooy
中科院分区：
文献类型：
--
作者：
Dirk Van Rooy
本文介绍了一种连接主义的基于代理的模型（cABM），它结合了详细的，微观层面的理解来自实验室研究的社会影响力的过程，其目的是这些过程的背景下，以这样一种方式，它成为可能的扩展社交网络中的多方向，动态的影响建模。在微观层面上，代理过程是由递归自联想网络模拟的，递归自联想网络是一种被证明能够模拟各种个体心理和记忆过程的体系结构[D.货车Rooy，F.货车Overwalle，T.万胡米森角Labiouse和R. French，Psychol.Rev.110，536（2003）]。在宏观层面上，这些单独的网络被组合成一个“网络社区”，以便它们可以通过将相同概念的信息从一个网络传输到另一个网络来相互交换个人信息。这基本上创建了一个反映社会系统的网络结构，其中（一组）节点代表个体代理，代理之间的链接是连接它们的相互社会影响[B]。Hazlehurst和E. Hutchins，Lang.过程13，373（1998）]。网络结构本身是动态的，并通过简单的社会适应过程，由个体代理之间的相互作用形成。通过模拟，cABM产生了许多新的预测，这些预测广泛地解决了三个主要问题：（1）社会影响力的多个来源和目标之间相互作用的后果;（2）社会影响力随时间的动态发展;（3）集体和个人的意见轨迹。一些关于个人水平的过程的预测已经在实验室实验中得到了检验和证实。在一项广泛的研究计划中，目前正在从真实的群体中收集数据，这些数据将允许验证cABM关于总体结果的预测。
This paper introduces a connectionist Agent-Based Model (cABM) that incorporates detailed, micro-level understanding of social influence processes derived from laboratory studies and that aims to contextualize these processes in such a way that it becomes possible to model multidirectional, dynamic influences in extended social networks. At the micro-level, agent processes are simulated by recurrent auto-associative networks, an architecture that has a proven ability to simulate a variety of individual psychological and memory processes [D. Van Rooy, F. Van Overwalle, T. Vanhoomissen, C. Labiouse and R. French, Psychol. Rev. 110, 536 (2003)]. At the macro-level, these individual networks are combined into a "community of networks" so that they can exchange their individual information with each other by transmitting information on the same concepts from one net to another. This essentially creates a network structure that reflects a social system in which (a collection of) nodes represent individual agents and the links between agents the mutual social influences that connect them [B. Hazlehurst, and E. Hutchins, Lang. Cogn. Process. 13, 373 (1998)]. The network structure itself is dynamic and shaped by the interactions between the individual agents through simple processes of social adaptation. Through simulations, the cABM generates a number of novel predictions that broadly address three main issues: (1) the consequences of the interaction between multiple sources and targets of social influence (2) the dynamic development of social influence over time and (3) collective and individual opinion trajectories over time. Some of the predictions regarding individual level processes have been tested and confirmed in laboratory experiments. In a extensive research program, data is currently being collected from real groups that will allow validating the predictions of cABM regarding aggregate outcomes.
影响因子：
4.1
作者：
MCCLELLAND, JL;RUMELHART, DE
通讯作者：
RUMELHART, DE
知识获取、可访问性以及在人的感知和刻板印象中的使用：用循环联结网络进行模拟。
影响因子：
7.6
作者：
Smith,ER;DeCoster,J
通讯作者：
DeCoster,J
影响因子：
5.4
作者：
Kruglanski, AW;Webster, DM
通讯作者：
Webster, DM