BRACIS
36th Brazilian Conference on Intelligent Systems
ABOUT
BRACIS is the most important event in Brazil for researchers interested in publishing significant and novel results related to Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence – SBIA (21 editions) and the Brazilian Symposium on Neural Networks – SBRN (12 editions).
The 36th BRACIS plays a pivotal role in AI in Brazil, serving as a hub for promoting theoretical concepts and applications in Artificial and Computational Intelligence. The event fosters a space for exchanging scientific ideas among researchers, practitioners, scientists, and engineers working toward advancing Artificial and Computational Intelligence science. This aligns with the goals of other major international conferences proposed at a similar time in the history of AI, such as AAAI, IJCAI, and NeurIPS (formerly called NIPS). The 35 previous editions of BRACIS highlight the pioneering nature of the Brazilian AI Community.
CALL FOR PAPERS
The Program Committee of the 36th Brazilian Conference on Intelligent Systems (BRACIS) invites the scientific community to submit original research papers to this conference, which will be held in Cuiabá, MT, Brazil, from October 19 to October 22, 2026.
TOPICS OF INTEREST
Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI). Topics of interest include (but are not restricted to):
Agent-based and Multi-Agent Systems
AI/CI Algorithms and Models
AI and Quantum Computing, Communication, and Technologies
AI Ethics, Accountability, and Societal Impact
AI for Innovation and Technological Sovereignty
Automated, Probabilistic, and Approximate Reasoning
Bioinformatics and Biomedical Engineering Applications of AI
Cognitive Modeling and Human-AI Interaction
Combinatorial and Numerical Optimization
Computer Vision
Constraint Programming and Optimization
Data Mining and Knowledge Discovery
Deep Learning and Neural Networks
Distributed and Decentralized AI
Education for AI and AI for Education
Evolutionary Computation and Metaheuristics
Explainable Artificial Intelligence (XAI)
Federated and Privacy-Preserving Learning
Forecasting and Time Series Analysis
Foundations of Artificial Intelligence and Computational Intelligence
Fuzzy Systems and Soft Computing
Game Playing and Intelligent Interactive Entertainment
Generative AI and Foundation Models
Graph Neural Networks and Relational Learning
Human-centered AI
Hybrid AI Systems
Information Retrieval, Integration, and Extraction
Intelligent Robotics and Autonomous Vehicles
Knowledge Representation and Reasoning
Large Language Models
Logic-based Knowledge Representation and Reasoning
Machine Learning
Meta-Learning and Automated Machine Learning (AutoML)
Model-Based Reasoning
Multidisciplinary AI and CI
Natural Language Processing
Ontologies and the Semantic Web
Pattern Recognition and Cluster Analysis
Planning, Routing and Scheduling
Reinforcement Learning
SUBMISSION DETAILS
BRACIS employs a double-anonymous review process. This means that both the reviewer's and author's identities and institutions are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure their manuscripts are prepared so that their identities are not revealed. Papers that fail to adhere to anonymity guidelines will be desk-rejected. We also strongly encourage making code and data available anonymously (e.g., in an anonymous GitHub repository via Anonymous GitHub or in a Dropbox folder).
If you have published a non-anonymous version of your paper online before paper submission (e.g., arXiv), you can send an anonymous version to the conference. No references to the non-anonymous version should be in the anonymous version, and you should notify the PC chairs of the existence of a non-anonymous version. You cannot update the online version nor publish information regarding the work on social media during the paper review period, as it can compromise the double-anonymous review process.
Submitted papers must be written in English and be at most 15 pages, including all tables, figures, references, and appendices. Formatting instructions, as well as templates for Word and LaTeX, are available at Conference proceedings guidelines. Springer's proceedings LaTeX templates are also available in Overleaf.
Submitted papers will be reviewed by experts in the field. Accepted papers will be included in the BRACIS proceedings and submitted for publication in Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded for review to the submission system. Submissions must be made online using JEMS3.
For each accepted paper, at least one author must register for the conference and present the paper at the conference venue.
REVIEWER COMMITMENT POLICY
Following other AI conferences, this year, BRACIS is implementing a Mandatory Reviewing Workload.
At least one author of each submitted paper must contribute to the review process by reviewing three papers for each submission for which the author was nominated as a reviewer. If an author is indicated by multiple submissions, that author is expected to review a proportional number of papers.
Reviewer nominations should be submitted through the following form, after submission in the JEMS3 system: https://forms.gle/XHa7bykTiwiYu4pw7
After completing the reviewer nomination form, the Program Chairs may contact the nominated author to serve as a reviewer for BRACIS 2026. Invites will be sent through the JEMS3 system. Please note that filling out the form does not guarantee that the author will be assigned reviews, although participation will likely be requested to ensure that the review process meets the conference deadlines.
Submissions whose nominated authors do not fulfill this review commitment may be desk-rejected at the discretion of the Program Chairs.
On the usage of Generative AI tools
Attention
Generative AI models (including Chat-GPT, LLaMA, Gemini, or similar LLMs) do not meet the article authorship criteria for BRACIS 2026. However, we encourage articles that describe research on or involving such AI models and tools. Authors who use an LLM in any part of the article writing process take full responsibility for all content, including checking for plagiarism and correcting all text. We suggest that this use be properly mentioned in the Acknowledgements section, without prejudice to the evaluation process.
SUBMISSION TRACKS
Submissions to BRACIS are organized into four tracks:
1
Main Track
Original works showing novel AI methods with sound results.
2
AI Applications for Social Good
Original works presenting novel Social Good applications using established AI methods.
3
General Applications
Original works presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
4
Published Papers in Top Venues
Papers published in top AI conferences or journals in 2024-2026 (as a guide, consult international rankings such as CS Metrics and CS rankings by selecting AI area or subareas; others can also be considered).
There will be no distinction between Tracks 1-3 regarding the publication format and the publication in the proceedings. For Track 4, authors must submit a publishable 2-page extended abstract (excluding references) that does not violate the copyright of the previous publication. Track 4 does not need to be double-anonymous, as authors must cite the venue of the previous publication. The accepted papers of all tracks will have the same slot for presentation during the conference.
DESK-REJECTION POLICY
Due to the ongoing increase in conference submissions in the AI/CI community, BRACIS will implement a set of administrative checks to ensure the efficiency, fairness, and quality of the review process.
Submissions that do not comply with the conference policies may be desk-rejected by the Program Chairs without entering the review process. This includes, but is not limited to, the following situations:
- Failure to properly anonymize the manuscript in accordance with the double-anonymous review policy.
- Violation of the formatting guidelines, including failure to use the official template.
- Exceeding the maximum page limit of 15 pages (including references and appendices).
- Failure to comply with the Reviewer Commitment Policy.
- Evidence of plagiarism or substantial overlap with previously published or concurrently submitted work.
Authors are strongly encouraged to carefully verify compliance with all submission requirements before submitting their manuscripts.
IMPORTANT DATES
Paper registration
April 13, 2026
Paper submission
April 20, 2026
Notification to authors
June 1, 2026
Camera-ready copy due
June 29, 2026
Note
All deadlines are 23:59 UTC-12:00 – anywhere on Earth!
SBC CODE OF CONDUCT
By submitting a paper to BRACIS 2026, authors acknowledge that they comply with the SBC Code of Conduct for Authors in Publications.
PUBLICATION OF ACCEPTED PAPERS
Accepted papers will be included in the BRACIS proceedings and submitted for publication by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. In addition, the papers will be indexed in SBC OpenLib (SOL).
PROGRAM CHAIRS
PC
Mariana Recamonde-Mendoza
UFRGS
PC
Rodrigo C. Barros
PUCRS
PROGRAM COMMITTEE
To be announced.