Data-informed knowledge and strategies

作者:

摘要

The article proposes a new approach to reasoning about knowledge and strategies in multiagent systems. It emphasizes data, not agents, as the source of strategic knowledge. The approach brings together Armstrong's functional dependency from database theory, a data-informed knowledge modality based on a recent work by Baltag and van Benthem, and a newly proposed data-informed strategy modality. The main technical result is a sound and complete logical system that describes the interplay between these three logical operators.

论文关键词:Knowledge,Strategy,Know-how,Multiagent system,Data,Completeness

论文评审过程:Received 19 June 2021, Revised 5 February 2022, Accepted 20 April 2022, Available online 26 April 2022, Version of Record 2 May 2022.

论文官网地址:https://doi.org/10.1016/j.artint.2022.103727