首页> 外文会议>7th World Multiconference on Systemics, Cybernetics and Informatics(SCI 2003) vol.14: Computer Science, Engineering Applications >Model of Linguistic Activities as Ad hoc Interactive Activities in an Impulse Driven Multi-agents System
【24h】

Model of Linguistic Activities as Ad hoc Interactive Activities in an Impulse Driven Multi-agents System

机译:脉冲驱动的多主体系统中作为临时交互活动的语言活动模型

获取原文
获取原文并翻译 | 示例

摘要

The cognition is considered as activities of neurons. A neuron functions as a working memory (WM) of a subset of activities. Transference of activities by means of neurotransmitter is a linkage in a moment. The route through which an activity is transmitted forms a nerve circuit. The formed circuit replays the same activity. A neuron operates as a decoder of activities. The output of activity induces following activities selectively. A rotating impulse in a loop operates as the kept activity in a short-term memory. A layered network of neurons understands a subset of subsets ··· of activities. The activities are accumulated to a central nervous system (CNS). CNS induces a new activity according to the whole activity. A subset of activities is expressed as a pattern of impulses existed. A whole activity can be synthesized by using plural nets of loops on which the common pattern of impulses are included. These activities are able explain the vision. The nerve circuits for language faculty are formed additionally through experiences of language use. The nerve circuits for language use yield grammar. Language understanding is processed by means of a subset of working memories those are linked to the whole activities intermittently. The language understanding is expressed as existence of activities. The activities are varied with mutual interactions between CNS and focused attention area. This is the model of linguistic activities as ad hoc interactive activities in an impulse driven multi-agents system.
机译:认知被认为是神经元的活动。神经元充当活动子集的工作记忆(WM)。通过神经递质的活动转移是一时的联系。活动传播的路径形成神经回路。形成的电路重放相同的活动。神经元充当活动的解码器。活动的输出选择性地诱导以下活动。循环中的旋转脉冲作为短期记忆中保持的活动进行操作。分层的神经元网络了解活动子集的子集。这些活动累积到中枢神经系统(CNS)。中枢神经系统会根据整体活动诱导出新的活动。活动的子集表示为存在的一种冲动模式。整个活动可以通过使用多个包含通用脉冲模式的环网来合成。这些活动能够说明这一愿景。语言教学的神经回路是通过语言使用经验而额外形成的。语言使用的神经回路产生语法。语言理解是通过工作记忆的子集来处理的,这些工作记忆是间歇性地与整个活动联系在一起的。语言理解表示为活动的存在。这些活动因中枢神经系统和重点关注领域之间的互动而变化。这是在冲动驱动的多主体系统中作为临时交互活动的语言活动的模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号