*** ACSOS 2025 - Call for Contributions ***

6th IEEE International Conference on Autonomic Computing and Self-Organizing Systems

29 September -03 October 2025 - Tokyo, Japan

https://conf.researchr.org/home/acsos-2025
https://twitter.com/ACSOSconf

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The IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is a premier venue for advancing research in autonomic computing, self-adaptation, and self-organization. Established in 2020 through the merger of two influential IEEE conferences—ICAC (International Conference on Autonomic Computing) and SASO (International Conference on Self-Adaptation and Self-Organization)—ACSOS builds on more than two decades of excellence in these fields. The conference serves as a hub for interdisciplinary collaboration, bridging academic and industrial perspectives across domains such as artificial intelligence, computational biology, and computer systems. ACSOS features a diverse program, including research papers, experience reports, posters, demonstrations, and a doctoral symposium, fostering innovation and knowledge exchange.
ACSOS 2025 invites submissions on theoretical aspects, modeling, design, implementation, evaluation, verification and practical applications of autonomic, self-adaptive, self-organizing, and multi-agent systems, algorithms and techniques. This includes, but is not limited to:
Models and Algorithms: bio-inspired and socially inspired paradigms and heuristics; collective behavior of decentralized agents and systems; swarm intelligence; evolution and learning; organic computing; requirement and goal expression techniques; formal expressions of uncertainty; agent based modeling to help understand existing systems; digital twins
Theoretical aspects: theoretical frameworks; formal languages; game theory; queuing and control theory; symbolic knowledge representation
Systems properties: performance; robustness; resilience/dependability/reliability; trustworthiness; resource and energy efficiency; stability; diversity; self-protection and cybersecurity; self-reference and reflection; emergent behavior; explainability; interpretability; computational awareness and self-awareness

Engineering aspects: design patterns; programming languages; architectures; operating systems and middleware; testing, validation, and assurance methodologies; runtime models; large-scale, decentralized and multi-agent systems; data science and analytics; machine learning and artificial intelligence; communication and intelligent routing; distributed learning including federated learning; multi agent infrastructures

Cross disciplinary methods: approaches that draw inspiration from complex systems, chemistry, psychology, sociology, biology, and ethology

Socio-technical factors: human and social factors; visualization; crowdsourcing and collective awareness; guardrails and legal/regulatory compliance in self-* techniques; trust, ethics, privacy, sustainability, social and environmental implications.
Applications: We welcome papers in all application domains – past editions have featured papers on, for example, applications of multi-agent systems in various areas, enterprise applications, cyber-physical systems, smart agriculture, federated LLMs, manufacturing, autonomous vehicles, or smart (virtual) environments, disaster response, “smart” traffic management, datacenter infrastructure, resource management and scheduling, “smart” grids, automation in scientific computing and scientific discovery, virtual reality, and human-machine interfacing.

Best Papers

We intend to continue the tradition of giving the best papers of the conference an opportunity to publish an extended version in a special issue of ACM Transactions on Autonomous and Adaptive Systems (TAAS). [To be confirmed]

ACSOS 2025 plans to award The Karsten Schwan Best Paper Award and the Best Student Paper Award (where the primary author is a student)

Submission Instructions

Types of submissions:

Research Papers (up to 10 pages) should present and rigorously evaluate novel ideas and techniques in the areas outlined in this call.

Experience Reports (up to 10 pages) do not need to present novel ideas but should cover experiences with industrial-strength and commercially deployed systems, experience with widely-used open-source platforms, innovative implementations, interesting performance results, and experience in applying recent research advances to practical situations on any of the topics of interest. They will be primarily evaluated on the depth and quality of experiments and results.

Vision Papers (up to 6 pages) introduce groundbreaking, provocative, and even controversial ideas; propose new research agenda for the community; discuss long-term perspectives and challenges; focus on overlooked or underrepresented areas, and foster debate. These papers do not need to present rigorous empirical evaluation, but initial results are encouraged

Submissions in all categories are welcome from academia, industry, or academic-industrial collaborations. The delineation of submission types is not intended to steer industry participants exclusively toward experience reports.

We also encourage submissions solely on new benchmarks and datasets under the “Experience Reports” category. Such benchmarks and datasets should be open-source.

Research papers and experience reports will be included in the conference proceedings, which will be published by IEEE Computer Society Press and made available in the IEEE Digital Library. Vision papers will be part of a separate proceedings volume (the ACSOS Companion).

Formatting and submission

All submissions are required to be anonymized for double-blind peer-review (policy outlined below) and formatted according to the IEEE Computer Society Press proceedings style guide.

Papers are submitted electronically in PDF format through the ACSOS 2024 conference management system via EasyChair:

The page limit on all submission types includes all technical content like images and tables, but excludes bibliographic references and appendices.

Appendices should be clearly marked. Reviewers are not required to read or review appendices, but may peruse them at their sole discretion.

Policies

ACSOS authors should follow standard IEEE submission policy, including the plagiarism, self-plagiarism, and Gen AI policy outlined at https://conferences.ieeeauthorcenter.ieee.org/author-ethics/guidelines-and-policies/submission-policies/

In the above policy, “editor” shall mean the ACSOS program chairs.

As per these policies, all submissions should be original, i.e., they should not have been previously published in any conference proceedings, book, or journal and should not currently be under review for another archival conference. Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions.

ACSOS organizers and all participants, including authors should follow the IEEE code of conduct, outlined here – https://www.ieee.org/about/corporate/governance/code-of-conduct.html

Double blind Peer Review Policy

ACSOS 2025 will follow a lightweight double blind review process that keeps author identities concealed from reviewers and vice versa. This means that author identities and affiliations should be removed from the paper for reviews, and that reviewers will not actively try to discover the identity of the authors.

Authors must also make a good-faith attempt to anonymize their submissions by avoiding identifying themselves or their affiliated institutions, either explicitly or by implication, e.g., through references, acknowledgments, online repositories that are part of the submission, or direct interaction with committee members. Do not say "reference removed for blind review." When it is necessary to cite your own work, cite it as if it were written by a third party.

For related submissions of your own that are simultaneously under review or awaiting publication at other venues, you should use the same approach.

Publication of the submitted paper as a technical report, on your website or in an online repository like arxiv does not constitute a violation of this policy. Reviewers will be instructed not to actively try to discover the identity of authors. This also implies that reviewers and the program committee will make a decision solely based on the submission and will not consider any supplementary material posted online.