Call for Papers

We invite you to submit your best work in the area of agents and multi-agent systems to PRIMA-2024, the 25th International Conference on Principles and Practice of Multi-Agent Systems, to be held in Kyoto in November 2024.

Papers will be submitted to the conference CMT on the track of “Main track Submission" : https://cmt3.research.microsoft.com/PRIMA2024/

Scope and Background

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.

Areas of Interest

The conference areas of interest include, but are not limited to:

Logic and Reasoning 

• Logics of Agency 

• Logics of Multi-Agent Systems 

• Logics of Belief and Knowledge 

• Norms, Obligations, Deontic Logic 

• Argumentation 

• Logics and Game Theory 

• Uncertainty in Agent Systems 

Agent and Multi-Agent Learning

• Reinforcement Learning

• Evolutionary approaches

• Machine Learning Problems in Multi-Agent Systems

• Agents Embodied with Large Language Models

Engineering Multi-Agent Systems 

• Agent-Oriented Software Engineering 

• Interaction Protocols 

• 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 and Optimization

• Teamwork 

• Coalition Formation 

• Negotiation 

• Trust and Reputation 

• Commitments 

• Institutions and Organizations 

• Normative Systems

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 

• Voting 

• 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 

Human-Agent Interaction 

• Adaptive Personal Assistants 

• Embodied Conversational Agents 

• Virtual Characters 

• Multimodal User Interfaces

• Mobile Agents 

• Human-Robot Interaction 

• Affective Computing

Decentralized Paradigms 

• Cloud Computing 

• Service-Oriented Computing 

• Data spaces

• Big data

• Cybersecurity 

• Robotics and Multirobot Systems 

• Ubiquitous Computing 

• Social Computing 

• Internet of Things

• Edge Computing

• Blockchain 

Ethics and Social Issues

• Explainable Artificial Intelligence

• Ethics of AI Systems

• Multi-Agent Systems for Social Good

Application Domains for Multi-Agent Systems 

• Healthcare, Pandemics Management 

• 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 

• Crowdsourcing 

• etc.

Information for Authors 

PRIMA 2024 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 Springer LNCS format. Additionally, appendices can be included as long as their combined length is no more than 3 pages. 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 for the main track will be published in Springer's Lecture Notes in Artificial Intelligence series (LNCS/LNAI).