This book presents the latest research in Distributed Artificial Intelligence from the Third International Conference on Distributed Artificial Intelligence (DAI 2021). It comprises 15 carefully selected full papers covering a wide spectrum of topics within DAI, including general AI, multiagent systems, distributed learning, and computational game theory. The conference served as a crucial forum for international researchers and practitioners to share advancements in the theory and practice of distributed AI. The selected papers reflect the cutting edge of research in this dynamic field.

This volume represents a curated collection of research presented at the DAI 2021 conference, indicating a focus on academic and technical contributions. The selection process, involving careful review of submissions, suggests a commitment to quality and relevance within the field of distributed AI. The papers likely offer insights into current theoretical frameworks and practical applications, serving as a valuable resource for specialists and researchers in artificial intelligence and related disciplines.