Talking nets: a multiagent connectionist approach to communication and trust between individuals.
Talking nets: a multiagent connectionist approach to communication and trust between individuals.
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会说话的网络：一种用于个人之间沟通和信任的多代理联结主义方法。
DOI：
10.1037/0033-295x.113.3.606
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发表时间：
2006
影响因子：
5.4
通讯作者：
F. Heylighen
中科院分区：
文献类型：
--
作者：
F. Van Overwalle;F. Heylighen
提出了一种多智能体连接主义模型，该模型由相互通信的单个循环网络的集合组成，因此是一个网络网络。个体递归网络模拟个体主体内部的信息获取、整合和记忆过程，主体之间的信念和观点的交流沿着个体网络之间的连接传播。基于来自其他代理的信息进行信念更新的一个关键方面是对所提供信息的信任。在该模型中，信任由与接收代理的现有信念的一致性来确定，并导致单个网络之间的连接的变化，称为信任权重。这些权重导致选择性传播，从而过滤掉不太可靠的信息，它们实现了H.P.Grice(1975)关于交流中质量和数量的准则。通过模拟说服性沟通和两极分化、词汇习得、刻板印象和谣言的传播，以及在群体决策中缺乏共享独特信息的关键现象，探索了个人内部网络处理之外的沟通机制的独特贡献。
A multiagent connectionist model is proposed that consists of a collection of individual recurrent networks that communicate with each other and, as such, is a network of networks. The individual recurrent networks simulate the process of information uptake, integration, and memorization within individual agents, and the communication of beliefs and opinions between agents is propagated along connections between the individual networks. A crucial aspect in belief updating based on information from other agents is the trust in the information provided. In the model, trust is determined by the consistency with the receiving agents' existing beliefs and results in changes of the connections between individual networks, called trust weights. These weights lead to a selective propagation and thus to the filtering out of less reliable information, and they implement H. P. Grice's (1975) maxims of quality and quantity in communication. The unique contribution of communicative mechanisms beyond intrapersonal processing of individual networks was explored in simulations of key phenomena involving persuasive communication and polarization, lexical acquisition, spreading of stereotypes and rumors, and a lack of sharing unique information in group decisions.
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影响因子：
4.1
作者：
MCCLELLAND, JL;RUMELHART, DE
通讯作者：
RUMELHART, DE
影响因子：
7.6
作者：
J. Bargh;S. Chaiken;R. Govender;F. Pratto
通讯作者：
J. Bargh;S. Chaiken;R. Govender;F. Pratto
影响因子：
7.6
作者：
Eliot R. Smith
通讯作者：
Eliot R. Smith
影响因子：
7.6
作者：
R. Fazio;D. Sanbonmatsu;M. C. Powell;Frank Kardes
通讯作者：
R. Fazio;D. Sanbonmatsu;M. C. Powell;Frank Kardes
DOI：
10.1037/0003-066x.56.9.717
发表时间：
2001-09
期刊：
The American psychologist
影响因子：
--
作者：
K. Ochsner;Matthew D. Lieberman
通讯作者：
K. Ochsner;Matthew D. Lieberman