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PRIMA 2024 : The 25th International Conference on Principles and Practice of Multi-Agent Systems

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Conference Series : Pacific Rim International Conference on Multi-Agents
 
Link: https://sites.google.com/view/prima-2024/
 
When Nov 18, 2024 - Nov 22, 2024
Where Kyoto, Japan
Abstract Registration Due Jul 5, 2024
Submission Deadline Jul 10, 2024
Notification Due Sep 12, 2024
Final Version Due Sep 25, 2024
Categories    multiagent systems   artificial intelligence   human-agent interaction   computational social choice
 

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. 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).

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