ACSOS 2025
Mon 29 September - Fri 3 October 2025 Tokyo, Japan
Dates
Plenary

This program is tentative and subject to change.

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Tue 30 Sep

Displayed time zone: Osaka, Sapporo, Tokyo change

09:00 - 09:15
Opening CeremonyMain Track
09:00
15m
Other
Opening Ceremony
Main Track

09:15 - 10:30
Keynote 1Main Track
09:15
75m
Keynote
Trustworthy Federated Learning Systems
Main Track
10:30 - 11:00
Coffee BreakBreak
10:30
30m
Coffee break
Break
Break

11:00 - 12:30
Main Track - Swarm Intelligence and Collective BehaviorMain Track
11:00
25m
Research paper
A Field-based Approach for Runtime Replanning in Swarm Robotics Missions
Main Track
Gianluca Aguzzi Alma Mater Studiorum - Università di Bologna, Martina Baiardi University of Bologna, Angela Cortecchia Alma Mater Studiorum - Università di Bologna & Consortium GARR, Branko Miloradovic , Alessandro Vittorio Papadopoulos Mälardalen University, Danilo Pianini University of Bologna, Mirko Viroli Alma Mater Studiorum - Università di Bologna
11:25
25m
Research paper
Swarmalators with Discrete-Time Coupling: Which Step Size to Choose?
Main Track
Udo Schilcher Alpen-Adria-Universität Klagenfurt, Marcus Schref Alpen-Adria-Universität Klagenfurt, Christian Bettstetter Alpen-Adria-Universität Klagenfurt
11:50
25m
Research paper
FLAg-SwaP: Distributed Federated Learning Aggregation using Particle Swarm-based Placement
Main Track
12:15
15m
Live Q&A
Q&A and Panel Discussion
Main Track

12:30 - 13:30
LunchBreak
12:30
60m
Lunch
Lunch
Break

15:30 - 16:00
Coffee BreakBreak
15:30
30m
Coffee break
Break
Break

16:00 - 17:00
Main Track - Vision PapersMain Track
16:00
25m
Vision and Emerging Results
A Reflective Architecture for LLM-based Systems
Main Track
Parisa Salmani , Peter Lewis Ontario Tech University
16:25
25m
Vision and Emerging Results
How much cost to adapt a system?
Main Track
16:50
10m
Live Q&A
Q&A and Panel Discussion
Main Track

Wed 1 Oct

Displayed time zone: Osaka, Sapporo, Tokyo change

09:00 - 10:30
Keynote 2Main Track
09:00
90m
Keynote
Towards Guaranteed AI Safety
Main Track
Jun Sun Singapore Management University
10:30 - 11:00
Coffee BreakBreak
10:30
30m
Coffee break
Break
Break

11:00 - 12:30
Main Track - Self-Adaptive Systems and Online LearningMain Track
11:00
25m
Research paper
Neuro-Symbolic Causal Reasoning for Cautious Self-Adaptation under Distribution Shifts
Main Track
Christian Medeiros Adriano Hasso Plattner Institute, University of Potsdam, Sona Ghahremani Hasso Plattner Institute, University of Potsdam, Finn Kaiser , Holger Giese Hasso Plattner Institute, University of Potsdam
11:25
25m
Research paper
Antifragility via Online Learning and Monitoring: an IoT Case Study
Main Track
Valerio Brauzi , Vincenzo Grassi University of Roma "Tor Vergata", Raffaela Mirandola Karlsruhe Institute of Technology (KIT), Diego Perez-Palacin Linnaeus University, Vincenzo Scotti
11:50
25m
Research paper
Coordinating online reinforcement learning among multiple self-adaptive systems using factored Q-learning and constraint optimization
Main Track
Paul-Andrei Dragan University of Duisburg-Essen, Andreas Metzger University of Duisburg-Essen, Klaus Pohl Duisburg-Essen
12:15
15m
Live Q&A
Q&A and Panel Discussion
Main Track

12:30 - 13:30
LunchBreak
12:30
60m
Lunch
Lunch
Break

15:30 - 16:00
Coffee BreakBreak
15:30
30m
Coffee break
Break
Break

16:00 - 17:00
Main Track - ML and Autonomic SystemsMain Track
16:00
25m
Research paper
Beyond Drift Detection: Uncertainty-Driven Monitoring for ML-based Autonomic Systems
Main Track
16:25
25m
Research paper
Robust Communication through Collective Adaptive Relay Schemes for Maritime Vessels
Main Track
Martina Baiardi University of Bologna, Ghassan Al-Falouji University of Kiel, Germany, Danilo Pianini University of Bologna, Sven Tomforde Christian-Albrechts-Universität zu Kiel
16:50
10m
Live Q&A
Q&A and Panel Discussion
Main Track

Thu 2 Oct

Displayed time zone: Osaka, Sapporo, Tokyo change

10:30 - 11:00
Coffee BreakBreak
10:30
30m
Coffee break
Break
Break

11:00 - 12:30
Main Track - Complex Systems Analysis and ModelingMain Track
11:00
25m
Research paper
Macro-types in multi-scale feedback systems: a conceptual framework
Main Track
Ada Diaconescu LTCI Lab, Telecom Paris, Institute Politechnqie de Paris, Louisa Jane Di Felice Universidad Autónoma de Barcelona, Patricia Mellodge University of Hartford, Payam Zahadat IT University of Copenhagen
11:25
25m
Research paper
Online Self-Calibration for Agent-Based Modelling
Main Track
11:50
25m
Research paper
Finding relevant causes in complex systems: A generic method adaptable to users and contexts
Main Track
Samuel Reyd , Ada Diaconescu LTCI Lab, Telecom Paris, Institute Politechnqie de Paris, Jean-Louis Dessalles LTCI Lab, Telecom ParisTech, Université Paris-Saclay
12:15
15m
Live Q&A
Q&A and Panel Discussion
Main Track

12:30 - 13:30
LunchBreak
12:30
60m
Lunch
Lunch
Break

14:00 - 15:30
Main Track - Coordination and Distributed Intelligence Main Track
14:00
17m
Short-paper
Less is More: An Analysis of Minimal Information Sharing on the Performance of Robot Swarms
Main Track
14:17
17m
Short-paper
Empirical Expectations and Coordination Games
Main Track
Nathan Lloyd Ontario Tech University, Peter Lewis Ontario Tech University
14:34
17m
Short-paper
FedMAC: Federated Multi-Algorithm Clustering for Autonomous Systems
Main Track
Erik Johannes Husom SINTEF Digital, Rustem Dautov SINTEF Digital, Arda Goknil SINTEF Digital
14:51
17m
Short-paper
LLM-Guided Reconciliation for Explainable Robotic Path Planning: A Case Study
Main Track
15:08
22m
Live Q&A
Q&A and Panel Discussion
Main Track

15:30 - 16:00
Coffee BreakBreak
15:30
30m
Coffee break
Break
Break

16:00 - 17:00
Main Track - System Management and Performance OptimizationMain Track
16:00
17m
Short-paper
Identifying Failure Root Causes for Cloud-Native Microservice Applications
Main Track
Raphael Rouf , Farhoud Jafari Kaleibar , Marin Litoiu York University, Canada, Mohammadreza Rasolroveicy York University, Seema Nagar IBM Research, Prateeti Mohapatra , Pranjal Gupta , Ian Watts IBM Canada
16:17
17m
Short-paper
Render Cost Driven Caching for Object-Based Media
Main Track
Paul Dean Lancaster University, Barry Porter Lancaster University, Rajiv Ramdhany
16:34
17m
Short-paper
Towards Autonomous Goal Management: A Decision Theoretic Approach and Key Challenges
Main Track
Ivo Fagundes David de Oliveira Carl von Ossietzky Universität Oldenburg / University of Oldenburg, Verena Klös Carl von Ossietzky Universität Oldenburg
16:51
9m
Live Q&A
Q&A and Panel Discussion
Main Track

17:30 - 18:00
Closing CeremonyMain Track
17:30
30m
Other
Closing Ceremony
Main Track

Accepted Papers

Title
A Field-based Approach for Runtime Replanning in Swarm Robotics Missions
Main Track
Antifragility via Online Learning and Monitoring: an IoT Case Study
Main Track
A Reflective Architecture for LLM-based Systems
Main Track
Beyond Drift Detection: Uncertainty-Driven Monitoring for ML-based Autonomic Systems
Main Track
Coordinating online reinforcement learning among multiple self-adaptive systems using factored Q-learning and constraint optimization
Main Track
Empirical Expectations and Coordination Games
Main Track
FedMAC: Federated Multi-Algorithm Clustering for Autonomous Systems
Main Track
Finding relevant causes in complex systems: A generic method adaptable to users and contexts
Main Track
FLAg-SwaP: Distributed Federated Learning Aggregation using Particle Swarm-based Placement
Main Track
How much cost to adapt a system?
Main Track
Identifying Failure Root Causes for Cloud-Native Microservice Applications
Main Track
Less is More: An Analysis of Minimal Information Sharing on the Performance of Robot Swarms
Main Track
LLM-Guided Reconciliation for Explainable Robotic Path Planning: A Case Study
Main Track
Macro-types in multi-scale feedback systems: a conceptual framework
Main Track
Neuro-Symbolic Causal Reasoning for Cautious Self-Adaptation under Distribution Shifts
Main Track
Online Self-Calibration for Agent-Based Modelling
Main Track
Render Cost Driven Caching for Object-Based Media
Main Track
Robust Communication through Collective Adaptive Relay Schemes for Maritime Vessels
Main Track
Swarmalators with Discrete-Time Coupling: Which Step Size to Choose?
Main Track
Towards Autonomous Goal Management: A Decision Theoretic Approach and Key Challenges
Main Track

Camera Ready Submission for Main Track Proceedings

STEP 1: Important Dates

  • At least one author per paper must early pay the registration fee by August 7, 2025.
  • Failure to register will result in your paper not being included in the proceedings.
  • Final camera-ready manuscripts must be submitted by August 1, 2025.

STEP 2: Page Limits

Your final paper must follow the page limits listed in the following table:

Paper Type Page Limit (including References)
Research Papers 12
Experience Reports 12
Vision Papers 8
Short Research Papers and Experience Reports 8

Please note: Extra pages are not accepted.

STEP 3: Formatting Your Paper

  • Submitted abstracts should not exceed 200 words.
  • Final submissions to ACSOS 2025 must be formatted in US-LETTER page size, must use the two-column IEEE conference proceedings format, and must be prepared in PDF format. Microsoft Word and LaTeX templates are available at the IEEE “Author Submission Site”.
  • Please, DO NOT include headers/footers or page numbers in the final submission.

STEP 4: Submitting Your Final Version

  • Once the format of your paper has been verified and validated, you may submit your final version.
  • All papers should be submitted using the submission system provided by IEEE “Author Submission Site” (see email with camera-ready instructions).
  • After you login to the IEEE “Author Submission Site”, please, follow the instructions as you click the “Next” button on the top right corner of the site. Please, enter the following information exactly as appeared on your paper:
    1. Paper ID (Paper ID from EasyChair, eg. 4279)
    2. Names of authors, affiliations, countries, E-mail addresses,
    3. Titles, and abstracts.
  • Follow the instructions to submit your final manuscript.

STEP 5: Submitting a Signed Copyright Release Form

  • ACSOS 2025 requires users to submit a fully digital version of the electronic IEEE Copyright-release Form (eCF). eCF is provided at the IEEE “Author Submission Site”.
  • Follow the instructions in the IEEE “Author Submission Site” to properly fill-out, and submit the IEEE Copyright-release Form (eCF), including:
    1. Paper’s full title
    2. All authors names
    3. Conference title:
      2025 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
      resp. for vision papers, short research papers and experience reports
      2025 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)
    4. Signature (on appropriate line)
  • The signed IEEE Copyright-release Form (eCF) should be submitted together with your camera-ready manuscripts on August 1, 2025.

If you have any questions about the above procedures, please contact the Proceedings Chair Raffaela Groner (raffaela@chalmers.se).

Note: Extra pages are not allowed. Please complete each of the above steps - the conference organizers will not be responsible if your paper is omitted from the proceedings, is not available online on IEEE Xplore, or is subject to additional processing costs, if these steps are not performed.

Call for Papers

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).

Papers that violate the formatting and other submission policies may be desk rejected without review.

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 2025 conference management system via EasyChair: https://easychair.org/conferences/?conf=acsos2025

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.

Formatting (Camera Ready Papers)

Note: This section was added on July 6, 2025

Camera ready papers should be formatted according to the IEEE Computer Society Press proceedings style guide.

They should not be anonymized in any way.

The page limit on accepted full papers is 12 pages, including all content, references and appendices. The page limit on accepted short papers and vision papers is 8 pages, including all content, references and appendices.

Important Dates

Abstract Registration Deadline:	23:59 May 3, 2025 AoE (extended, firm deadline)
Submission Deadline:		23:59 May 3, 2025 AoE (extended, firm deadline)
Notification to Authors:	June 28, 2025 (extended)
Camera Ready Submission:	August 1, 2025 (extended)

Note: The notification deadline had to be extended due to an extension to the submission deadline Update: Notifications were sent by 10:30pm June 27 (US EDT)

Policies

ACSOS authors must adhere to the standard IEEE Submission Policies, including those related to plagiarism, self-plagiarism, text recycling, and the use of generative AI (GenAI) tools. ACSOS has the following addendum to the IEEE GenAI policy:

Author Responsibility: Authors are fully responsible and liable for all AI-generated content included in their papers, even if the use of GenAI tools is properly disclosed. This includes verifying the accuracy and originality of any such content. If errors or plagiarism are found—before or after publication—authors will be held accountable and may face disciplinary action.

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

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.