论文标题
基于概率逻辑的语义信息和通信的统一方法
A Unified Approach to Semantic Information and Communication based on Probabilistic Logic
论文作者
论文摘要
传统上，技术交流研究（TC）基于随机建模和操纵。对于语义元素在逻辑上连接而不是随机相关的语义元素，这是不够的。为了填补这一空白，通过利用一种称为Probabilistic Logic（Problog）的逻辑编程语言，我们通过TC和SC之间的相互作用提出了一种统一的语义信息和通信方法。在现有的TC层之外，我们还引入了一个SC层，该SC层利用了交流各方的知识库来交换语义信息。这些知识库在逻辑上描述，操纵和使用Problog进行了利用。为了使这些SC和TC层相互作用，我们根据知识库中条款的熵提出了各种措施。这些措施使我们能够描述SC上的各种技术问题，例如用于改善接收器知识库的消息选择问题。扩展了这一点，我们展示了SC和TC层相互作用的选定示例，同时考虑到物理渠道的约束并有效地利用频道资源。
Traditionally, studies on technical communication (TC) are based on stochastic modeling and manipulation. This is not sufficient for semantic communication (SC) where semantic elements are logically connected, rather than stochastically correlated. To fill this void, by leveraging a logical programming language called probabilistic logic (ProbLog), we propose a unified approach to semantic information and communication through the interplay between TC and SC. On top of the well-established existing TC layer, we introduce a SC layer that utilizes knowledge bases of communicating parties for the exchange of semantic information. These knowledge bases are logically described, manipulated, and exploited using ProbLog. To make these SC and TC layers interact, we propose various measures based on the entropy of a clause in a knowledge base. These measures allow us to delineate various technical issues on SC such as a message selection problem for improving the knowledge base at a receiver. Extending this, we showcase selected examples in which SC and TC layers interact with each other while taking into account constraints on physical channels and efficiently utilizing channel resources.
