• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Intelligent Information Systems >A grammar inference approach for language self-adaptation and evolution in digital ecosystems
【24h】

A grammar inference approach for language self-adaptation and evolution in digital ecosystems

机译：一种语言自适应和数字生态系统演化的语法推断方法

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Socialization is the essential building process of any society in natural ecosystems. Effective socialization processes have been investigated for both "biotic" (human) and "abiotic" (virtual) entities, also within digital ecosystems in the perspective of common and self-adaptive languages. In this paper, we propose an approach for socialization, language self-adaptation, and evolution that enables an effective communicative interaction among digital entities acting in a digital ecosystem. The proposed method relies on an adaptable and extensible grammatical formalism, named Digital Ecosystem Grammar (DEG). This grammar enables digital entities to interpret the messages sent by other entities by using interaction, learning and evolution actions. Moreover, a grammar learning algorithm is applied to provide the self-adaptation mechanisms that allow the digital environment to adapt the interaction language according to new messages. The approach was suitable to support the characteristics of self-adaptation, context-awareness, evolvability, and semanticity of a digital ecosystem language.
机译：社会化是自然生态系统中任何社会的基本建设过程。在普通和自适应语言的角度，也在数字生态系统内调查了“生物”（人）和“非生物”（虚拟）实体的有效社会化进程。在本文中，我们提出了一种社会化，语言自适应和演化的方法，这使得在数字生态系统中的数字实体之间具有有效的交际互动。该方法依赖于适应性和可伸展的语法形式主义，名为Digital Ecosystem语法（DEG）。该语法使数字实体能够通过使用交互，学习和演进操作来解释其他实体发送的消息。此外，应用了语法学习算法来提供允许数字环境根据新消息来调整交互语言的自适应机制。该方法适合于支持数字生态系统语言的自适应，背景知识，再生性和语义的特征。

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