首页> 外文期刊>Journal of logic and computation >Accumulative knowledge under bounded resources
【24h】

Accumulative knowledge under bounded resources

机译:有限资源下的累积知识

获取原文
获取原文并翻译 | 示例
           

摘要

A possible purpose of performing an action is to gather information. Such information-collecting actions are usually resource-consuming. The resources needed for performing them can be for example time or memory, but also money, specialized equipment, etc. In this work, we propose a formal framework to study how the ability of an agent to improve its knowledge changes as a result of changing the available resources. We introduce a model for resource-consuming information-collecting actions, and show how the process of accumulating knowledge can be modelled. Based on this model, we propose a modal logic for reasoning about the epistemic abilities of agents. We present some validities of the logic, and show that the model-checking problem sits in the first level of polynomial hierarchy. We also discuss the connection between our framework and classic information theory. More specifically, we show that the notion of uncertainty given by Hartley measure can be seen as a special case of an agent's ability to improve its knowledge using information-collecting actions.
机译:执行动作的可能目的是收集信息。这样的信息收集动作通常是消耗资源的。执行这些任务所需的资源可以是例如时间或内存,也可以是金钱,专用设备等。在这项工作中,我们提出一个正式的框架来研究代理人改善其知识的能力如何随着变化而变化。可用资源。我们介绍了一个用于资源消耗性信息收集动作的模型,并展示了如何对知识积累的过程进行建模。在此模型的基础上,我们提出了一种关于代理的认知能力推理的模态逻辑。我们提出了一些逻辑上的有效性,并表明模型检查问题位于多项式层次结构的第一级。我们还将讨论我们的框架与经典信息理论之间的联系。更具体地说,我们表明,哈特利测度给出的不确定性概念可以看作是特工使用信息收集行动提高其知识能力的特例。

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