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## CALL FOR PAPERS<br>
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# 13th International Workshop on Engineering Multi-Agent Systems (EMAS) <br>
**Co-located with AAMAS 2025, Detroit MI, USA**<br>
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Workshop website: <a href="https://emas.in.tu-clausthal.de/2025/" target="_blank">https://emas.in.tu-clausthal.de/2025/</a><br>
Workshop submission page: <a href="https://openreview.net/group?id=ifaamas.org/AAMAS/2025/Workshop/EMAS" target="_blank">https://openreview.net/group?id=ifaamas.org/AAMAS/2025/Workshop/EMAS</a><br>
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This year we especially invite contributions to the **Special Theme on Data- and Machine-Learning driven Approaches for Engineering Intelligent Agents and Multi-Agent Systems**<br>
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## IMPORTANT DATES<br>
Paper submission deadline : 4 February 2025 (AoE, UTC-12)<br>
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Author notification: 10 March 2025 (AoE, UTC-12)<br>
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Workshop Dates: 19–20 May 2025<br>
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## SCOPE AND TOPICS<br>
A key unifying theme underlying Artificial Intelligence is the idea of intelligent software agents able to reason, act, interact, and learn. <br>
This metaphor has stimulated much research in AI and particularly in Autonomous Agents and Multi-Agent Systems, giving rise to research in agent-oriented software engineering, programming multi-agent systems, and declarative agent languages and technologies.<br>
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For the 2025 edition, we especially invite contributions to a **Special Theme on ML- and data-driven approaches for engineering intelligent agents and multi-agent systems**.<br>
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Despite the substantial body of knowledge and expertise developed in the design and development of Multi-Agent Systems (MAS), the systematic development of large-scale and open MAS still poses many challenges. <br>
Even though various languages, models, techniques and methodologies have been proposed in the literature, researchers and developers are still faced with fundamental questions attaining MAS engineering, such as:<br>
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- How to specify, design, implement, verify, test and validate large-scale and open MAS?<br>
- How to seamlessly integrate data-driven and machine learning techniques into design/programming languages and tool chains for agent-based systems?<br>
- How to effectively and transparently leverage policy-based learning techniques such as reinforcement learning for the analysis, design and implementation of MAS?<br>
- How to engineer agents and MAS that are secure, correct and protect the privacy concerns of users?<br>
- How to ensure and control the global behaviour of decentralised, large-scale and open MAS?<br>
- How to express the requirements for MAS and how to translate these requirements into agent goals?<br>
- What features characterize which (multi-)agent architectures and languages are most suitable for MAS in different domains? <br>
- How to scale to the complexity of real-world application domains?<br>
- What are the implications of MAS engineering in the context of continuous development and deployment?<br>
- How to seamlessly integrate MAS engineering with mainstream software engineering models, languages, frameworks and tools?<br>
- Which processes and methodologies can integrate the above and provide a disciplined approach to the engineering of MAS?<br>
- How can MAS be applied in specific application areas, such as Cyber-Physical Systems and Internet-of-Things? <br>
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EMAS 2025 will provide a forum for researchers and practitioners in the domains of agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning to present and
discuss their research and emerging results in engineering MAS. <br>
The overall purpose of the workshop is to facilitate the cross-fertilisation of ideas and experiences in the various fields to: <br>
- Enhance our knowledge of the theory and practice of engineering intelligent agents and multi-agent systems, and advance the state of the art;<br>
- Demonstrate how MAS methodologies, architectures, languages and tools can be used in the engineering of deployed large-scale and open MAS;<br>
- Define new directions for engineering MAS by drawing on results and recommendations from related research areas;<br>
- Encourage PhD and Masters students to become involved in and contribute to the area.<br>
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## SUBMISSIONS<br>
We solicit four types of submissions:<br>
- Regular papers should: (1) clearly describe innovative and original research; or (2) report a survey on a research topic in the field; or (3) explain how existing techniques have been applied to a real-world case. (16 pages, excluding references, in LNCS
format).<br>
- Short papers should: (1) describe novel and promising ideas and/or techniques that are in an early stage of development; or (2) present a vision for some part of the field, including challenges, and research opportunities (see the AAMAS Blue Sky Track CFP
for more information on these sort of papers). (8 pages, excluding references, in LNCS format).<br>
- Student papers should describe M.Sc. or Ph.D. research in the field of engineering multi-agent systems. The paper should clearly describe the problem tackled and why it is important, the research method, the (expected) contributions of the research, and the
evaluation. The lead author on the paper should be the student. (6 pages, excluding references, in LNCS format).<br>
- Tools, testbeds, and demo papers should describe a novel tool or demonstration in the field of engineering multi-agent systems. Submissions may range from early prototypes to in-house or pre-commercialised products. Authors of other EMAS 2025 papers are also
welcome to submit an accompanying tool/demo paper. The paper should provide a link to supplementary material that allows the reviewers to evaluate the submission such as website or video (4 pages, excluding references, in LNCS format).<br>
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**Best paper award**: We will select the best paper amongst the regular papers where the main author is not a student. <br>
**Student paper award**: Papers where the main author is a student should be identified as such and will be eligible for the best student paper award.<br>
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**Submission policy:** all papers should be original and not be submitted elsewhere. The review process is single blind: submissions should not be blind, reviewers will be.<br>
Submissions should be formatted following the LNCS formatting style which is available via: <a href="http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines" target="_blank">http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines</a><br>
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The OpenReview submission page can be found here: <<a href="https://openreview.net/group?id=ifaamas.org/AAMAS/2025/Workshop/EMAS%3E" target="_blank">https://openreview.net/group?id=ifaamas.org/AAMAS/2025/Workshop/EMAS></a>;<br>
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Authors of accepted papers may be invited to submit revised and extended versions of the EMAS papers for inclusion in the post-proceedings that will be published as a volume in Springer's Lecture Notes in Artificial Intelligence (LNAI).<br>
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Kind regards, <br>
Sebastian Rodriguez, Lu Feng, and Jörg P. Müller<br>
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