首页> 外文期刊>Intelligenza Artificiale >A meta-argumentation approach for the efficient computation of stable and preferred extensions in dynamic bipolar argumentation frameworks
【24h】

A meta-argumentation approach for the efficient computation of stable and preferred extensions in dynamic bipolar argumentation frameworks

机译:动态双极论框架中有效计算稳定和首选扩展的元论论方法

获取原文
获取原文并翻译 | 示例
           

摘要

Bipolar argumentation frameworks (BAFs) extend Dung's argumentation frameworks to explicitly represent the notion of support between arguments, in addition to that of attack. BAFs can be profitably used to model disputes between two or more agents, with the aim of deciding the sets of arguments that should be accepted to support a point of view in a discussion. However, since new arguments, attacks, and supports are often introduced to take into account new available knowledge, BAFs as well as the set of accepted arguments (under a given semantics) change over the time.
机译:双极论证框架(BAF)扩展了粪话的论证框架,明确代表论证之间的支持概念,除了攻击之外。 BAFS可以有利可图地用于模拟两种或更多代理商之间的纠纷,目的是决定应被接受的论点,以支持在讨论中的观点。 但是,由于新的参数,攻击和支持通常被引入到考虑到新的可用知识,BAF以及所接受的参数(在给定的语义下)随时间的变化而变化。

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