This book presents cutting-edge research in Distributed Artificial Intelligence from the 4th International Conference on Distributed Artificial Intelligence (DAI 2022). It comprises five carefully selected full papers that explore diverse facets of DAI, including multiagent systems, distributed learning, and computational game theory. The conference aimed to foster collaboration among international researchers and practitioners in general AI and related fields, providing a platform for advancements in both the theory and practice of distributed AI.

This volume represents a curated selection of research presented at the DAI 2022 conference, indicating a focus on current academic discourse within the field. The inclusion of papers on multiagent systems, distributed learning, and computational game theory suggests a technical and specialized audience. The selection process, involving careful review of submissions, points to a commitment to academic rigor and the presentation of significant contributions to distributed AI research.