Information pooling has been extensively formalised across various logical frameworks in distributed systems, characterized by diverse information-sharing patterns. These approaches generally adopt an intersection perspective, aggregating all possible information, regardless of whether it is known or unknown to the agents. In contrast, this work adopts a unique stance, emphasising that sharing knowledge means distributing what is known, rather than what remains uncertain. This paper introduces new modal logics for knowledge pooling and sharing, ranging from a novel language of knowledge pooling to a dynamic mechanism for knowledge sharing. It also outlines their axiomatizations and discusses a potential framework for permissible knowledge pooling.

翻译：信息汇集在分布式系统的各种逻辑框架中已被广泛形式化，其特征体现在多样化的信息共享模式上。这些方法通常采用交集视角，汇集所有可能的信息，而不论这些信息是否为智能体所知或未知。与此相对，本文采用一种独特立场，强调共享知识意味着分配已知内容，而非不确定内容。本文引入用于知识汇集与共享的新型模态逻辑，涵盖从知识汇集的创新语言到知识共享的动态机制。此外，文中还阐述了这些逻辑的公理化体系，并讨论了可允许知识汇集的潜在框架。