Software systems are becoming more intelligent in the kind of functionality they offer users. At the same time, systems are becoming more decentralized, with components that represent autonomous entities who must communicate among themselves to achieve their goals. Examples of such systems range from healthcare and emergency relief and disaster management to e-business and smarts grids. A multiagent worldview is crucial to properly conceptualizing, building, and governing such systems. It offers abstractions such as intelligent agents, protocols, norms, organizations, trust, incentives, and so on, and is rooted in solid computational and software engineering foundations. As a large but still growing research field of Computer Science, multiagent systems today remains a unique enabler of interdisciplinary research.
Information for Authors
PRIMA 2022 invites submissions of original, unpublished, theoretical, and applied work strongly relevant to multiagent systems, including reports on the development of a prototype and deployed agent systems, and of experiments that demonstrate novel agent system capabilities. An indicative list of topics is provided below.
The papers can be submitted to one of the following categories:
- Regular papers: these papers can be up to 16 pages in length, including references, in the Springer LNCS format.
- Survey papers: these papers can be up to 16 pages in length, including references, in the Springer LNCS format.
- Blue-Sky papers: these papers can be up to 8 pages in length, including references, in the Springer LNCS format. These ‘early-innovation’ papers will be reviewed with an emphasis on novelty/originality of the idea.
- Demo-papers: these papers can be up to 4 pages in length including references, in the Springer LNCS format. The paper should have a link of a video at most 10 minutes.
All the submitted papers must be in a form suitable for double-blind review. 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include all published literature relevant to the paper, including previous works of the authors, it should not include unpublished works.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  have shown that…”, rather than “In our previous work  we have shown that…”. Such identifying information can be added back to the final camera-ready version of accepted papers.
All accepted papers for the main track will be published in Springer’s Lecture Notes in Artificial Intelligence series (LNCS/LNAI).
This year, the Journal of Autonomous Agents and Multiagent Systems (JAAMAS, Q4 Computer Science Artificial Intelligence, Impact Factor 1.431) will provide the opportunity for extended versions of the PRIMA-2022 best paper award winner and the PRIMA-2022 best paper award runner-up to be fast-tracked for the journal.
A selection of PRIMA-2022 papers will be invited to submit revised and extended versions for publication in Annals of Mathematics and Artificial Intelligence (Q4, Computer Science, Artificial Intelligence, Impact Factor 0.789).
PRIMA 2022 will hold a doctoral consortium meeting where students can present their work and interact with mentors.
Topics of Interest
Topics of interest include (but are not limited to) the following:
Logic and Reasoning
- Logics of Agency
- Logics of Multiagent Systems
- Logics of Belief and Knowledge
- Norms, Obligations, Deontic Logic
- Logics and Game Theory
- Uncertainty in Agent Systems
- Agent and Multi-Agent Learning
Engineering Multi-Agent Systems
- Agent-Oriented Software Engineering
- Interaction protocols
- Institutions and Organizations
- Normative Systems
- Formal Specification and Verification
- Agent Programming Languages
- Middleware and Platforms
- Testing, debugging, and evolution
- Deployed System Case Studies
Agent-Based Modeling and Simulation
- Simulation Languages and Platforms
- Artificial Societies
- Virtual Environments
- Emergent Behavior
- Modeling System Dynamics
- Application Case Studies
Collaboration & Coordination
- Multi-Agent Planning
- Distributed Problem Solving
- Coalition Formation
- Trust and Reputation
Algorithmic Game Theory
- Auctions and Mechanism Design
- Bargaining and Negotiation
- Behavioral Game Theory
- Cooperative games: Theory, Analysis, Computation
- Game Theory for Practical Applications
- Noncooperative games: Theory, Analysis, Computation
Computational Social Choice
- Fair Division and Resource Allocation
- Matching under Preferences
- Coalition Formation Games
- Aggregation of Beliefs, Opinions, Judgments
- Ethics and Computational Social Choice
- Participatory Budgeting
- Facility Location
- Communication Issues in Social Choice, Distortion
- Behavioral Social Choice
- Adaptive Personal Assistants
- Embodied Conversational Agents
- Virtual Characters
- Multimodal User Interfaces
- Mobile Agents
- Human-Robot Interaction
- Grid Computing
- Service-Oriented Computing
- Robotics and Multirobot Systems
- Ubiquitous Computing
- Social Computing
- Internet of Things
Application Domains for Multi-Agent Systems
- Autonomous Systems
- Transport and Logistics
- Emergency and Disaster Management
- Energy and Utilities Management
- Sustainability and Resource Management
- Games and Entertainment
- e-Business, e-Government, and e-Learning
- Smart Cities
- Financial markets
- Legal applications