Software systems are rapidly becoming more intelligent in the functionality they offer to
users. They are also becoming more decentralized, with components that act autonomously
and must communicate among themselves or with human users, to achieve their goals.
Examples of such systems include those in healthcare, disaster management, e-business,
and smart grids. A multi-agent perspective is crucial to the proper conceptualization,
deployment, and governance of such systems. Rooted in solid computational and software
engineering foundations, this perspective offers abstractions such as intelligent agents,
protocols, norms, organizations, trust and incentives, among others. As a large, but still
growing research field of Computer Science, multi-agent systems today remain a unique
enabler of interdisciplinary research.
PRIMA 2025 invites submissions of original, unpublished work strongly relevant to Multi-
Agent Systems. Apart from theoretical work, we encourage the submission of reports on the
development of applications or prototypes of deployed agent systems, and of experiments
that demonstrate novel agent system capabilities. In addition to this, we also encourage the
submission of position and review papers that are of particular relevance to the multi-agent
community.
The papers submitted can be up to 16 pages in length, including references, in the
LNCS format. All submitted papers must be in a form suitable for double-blind review.
Specifically, in order to make blind reviewing possible, authors must omit their names and
affiliations from the paper. Also, while the references should include all published literature
relevant to the paper, including previous work of the authors, it should not include
unpublished works. When referring to one's own work, use the third person rather than the
first person. For example, say "Previously, Foo and Bar [2] have shown that…", rather than
"In our previous work [2], we have shown that…". Such identifying information can be added
back to the final camera-ready version of accepted papers.
All papers will be reviewed by at least 2-3 experts in the area following a detailed review
form that will assess the paper based on the significance and novelty of the idea, the
technical description of the proposal, clarity and organization, the evaluation methodology,
and any ethical considerations.
All accepted papers will be published in Springer's Lecture Notes in
Artificial Intelligence series (LNCS/LNAI).
The Microsoft CMT service
was used for managing the peer-reviewing process for this conference. This service was provided
for free by Microsoft and they bore all expenses, including costs for Azure cloud services as
well as for software development and support.
