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EMAS 2026: International Workshop on Engineering Multi-Agent Systems

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投稿締切日:
2026-02-11
通知日:
2026-03-27
開催日:
2026-05-25
開催地:
Paphos, Cyprus
開催回数:
14
ICORE: B   閲覧: 37   フォロー: 0   参加: 0

論文募集

EMAS 2026 (International Workshop on Engineering Multi-Agent Systems) is a ICORE B conference held in Paphos, Cyprus on 2026-05-25. The paper submission deadline is 2026-02-11. Acceptance notifications are sent on 2026-03-27.

Topics Over decades, substantial knowledge and expertise have been developed in the engineering of Multi-Agent Systems (MAS), including theories, architectures, languages, platforms, and methodologies for designing, implementing, and deploying autonomous agents and multi-agent systems. Despite this strong foundation, the emergence and integration of augmented language models and generative agents into agentic and multi-agent systems, introduces new challenges and opportunities for MAS engineering to evolve and address this expanding landscape of autonomous agents. In this context, EMAS 2026, with its special theme on Hybrid Agent Architectures and Multi-Agent Systems, welcomes contributions that revisit, extend, or challenge established MAS engineering approaches, explore emerging generative agent architectures and agentic systems, or examine the integration of different approaches into hybrid agent architectures and multi-agent systems. Submissions may address and extend foundational questions in MAS engineering, including but not limited to: How to specify, design, implement, verify, and test multi-agent systems in light of emerging technologies such as generative agent models, agentic systems, and neuro-symbolic Artificial Intelligence (AI), as well as modern application needs including explainability, interoperability, and flexible tool use. Which (multi-)agent architectures and languages are best suited to meet diverse design objectives and system requirements. How elements from established and emerging agent architectures can be combined to engineer hybrid architectures that leverage strengths while mitigating weaknesses of individual approaches. How established MAS principles can inform the design of generative and hybrid agent architectures. How advances in agentic technologies can drive the re-examination and extension of MAS principles, models, and languages, addressing emerging forms of generative agent interaction, coordination, and reasoning. How multi-agent systems can enable interoperability among agents of heterogeneous architectures while ensuring effective, governed coordination and collaboration. How to engineer agents and multi-agent systems that are verifiable, explainable, transparent, and accountable by design. Which processes and methodologies can integrate the above to provide a disciplined approach to MAS engineering. EMAS 2026 provides a forum for researchers and practitioners in agent-oriented software engineering, multi-agent system programming, declarative agent languages and technologies, generative agents, and agentic systems to present and discuss research and emerging results in MAS engineering. The workshop aims to: Enhance knowledge of the theory and practice of engineering autonomous agents and multi-agent systems, advancing the state of the art. Demonstrate how MAS methodologies, architectures, languages, and tooling can be applied in the engineering of hybrid multi-agent systems and agents built on hybrid architectures. Define new directions for MAS engineering by combining established MAS approaches with insights from the Agentic AI community. Encourage PhD and Master’s students to engage with and contribute to the field.
最終更新:Admin Myhuiban

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
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CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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