Software systems are rapidly becoming more intelligent in t he functionality they offer to users. They are als o becoming more decentralized, with components tha t act autonomously and must communicate among them selves or with human users to achieve their goals. Examples of such systems include those in healthc are, disaster management, e-business, and smart gr ids. A multi-agent perspective is crucial to the p roper conceptualization, deployment, and governanc e of these systems. Rooted in solid computational and software engineering foundations, this perspec tive offers abstractions such as intelligent agent s, protocols, norms, organizations, trust and ince ntives, among others. As a large, but still growin g research field of artificial intelligence, multi -agent systems today remain a unique enabler of in terdisciplinary research.
\nP RIMA 2025 invites submissions of original, unpubli shed work strongly relevant to multi-agent systems . Apart from theoretical work, we encourage the su bmission of reports on the development of applicat ions or prototypes of deployed agent systems, and of experiments that demonstrate novel agent system capabilities. In addition to this, we also encour age the submission of position papers that are of relevance to the multi-agent community.
\nType of submissions: Full papers (16 pages plus re ferences), Short papers (4 pages plus references) and Position papers (2 pages plus references). All submitted papers must be in a form suitable for d ouble-blind review. All papers will be reviewed by at least 2-3 experts in the area following a deta iled review form that will assess the paper based on the significance and novelty of the idea, the t echnical description of the proposal, clarity and organization, the evaluation methodology, and any ethical considerations. All accepted papers will b e published in Springer's Lecture Notes in Artific ial Intelligence series (LNCS/LNAI), and must be s ubmitted using the Springer LNCS/LNAI format.
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