Multiagent and Grid Systems (MGS)

Multiagent and Grid Systems – An International Journal is a peer-reviewed academic journal that provides an international forum for innovative research and high-quality applications at the intersection of multi-agent systems and grid/cloud computing — two major pillars of distributed computing intelligence. The journal focuses on theoretical advances as well as the practical implications of deploying agent-based technologies and distributed architectures to address complex problems in modern computing environments. It publishes original research articles, comprehensive surveys, and technical contributions that explore topics such as coordination and cooperation among autonomous agents, agent-based modeling and simulation, resource management within grid and cloud infrastructures, middleware and tools that support scalable distributed systems, and the integration of AI techniques like deep learning into multi-agent frameworks. A key aim of the journal is to foster cross-disciplinary exchange between researchers in artificial intelligence, distributed systems, data engineering, and cloud/grid computing, encouraging work that marries rigorous scientific methods with real-world implementation challenges. With quarterly publication, Multiagent and Grid Systems contributes to the ongoing development of computational techniques that underpin next-generation distributed applications — from smart cyber-physical systems to scalable AI-enabled services — and remains relevant to academics, developers, and industry innovators seeking deep insights into distributed intelligence and networked system design.

Multiagent and Grid Systems (MGS) is :-

• International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Computer Science (miscellaneous), Engineering (miscellaneous), , artificial intelligence agents, grid and cloud computing, data engineering, deep learning, generative AI, embodied AI, design, implementation, evaluation, and real-world applications of distributed intelligent and networked systems , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1574-1702, E-ISSN: 1875-9076, Established: 2005, Impact Factor: 0.4
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE