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*TL;DR:*

BRACIS 2024 Call for Papers - The 34th Brazilian Conference on Intelligent Systems (BRACIS) will be held in Belém, Brazil, from November 17-21, 2024. This is Brazil's primary AI and CI event. It invites the submission of research papers on various AI topics. Please visit the website https://bracis.sbc.org.br/2024/ for more information about the location and venue. *Key dates: submission by June 13,*

*2024; notifications by August 10, 2024; and camera-ready copies by August20, 2024*. The conference features a double-anonymous review process and introduces four tracks, including a new "Published Papers in Top Venues" track. Best papers may be invited for special issue publications. Submissions are via JEMS https://jems.sbc.org.br/home.cgi?c=4616. More details are as follows.

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The Program Committee of the 34th Brazilian Conference on Intelligent Systems (BRACIS) invites submissions of original research papers for the conference to be held in Belém, PA, Brazil. **First edition in the North Region** from November 17th to 21st, 2024.

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). BRACIS, which previously had 12 editions, will now be recognized as the 34th edition when considering its history and the 21 editions of SBIA. The 34th 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 in a similar period in the history of AI, such as the 37th AAAI, 32nd IJCAI, and 37th NeurIPS (formerly called NIPS). The 33 previous editions of BRACIS highlight the pioneering of the Brazilian AI Community.

**Please note that this year, we are inaugurating the track submissions.See further details in the Submission Details section. **

IMPORTANT DATESa

-* Paper submission - June 13th, 2024 - AoE**

- Notification to authors - August 10th, 2024.

- Camera-ready copy due - August 20th, 2024.

SPECIAL ISSUES

Authors of the best papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference.

SUBMISSION DETAILS

Please note that the BRACIS submission is double-anonymous. This means that both the reviewer 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 that their manuscripts are prepared in a way that does not reveal their identity.

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 appear in the anonymous version, and you should inform the PC chairs that there is 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-double-anonymous review process.

We strongly encourage making code and data available anonymously (e.g., in an anonymous GitHub repository via Anonymous GitHub or in a Dropbox folder).

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 ConferenceProceedings guidelines https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Springer's proceedings LaTeX templates are also available in Overleaf https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer-science/kzwwpvhwnvfj#.WsdHOy5uZpg .

All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings and submitted for publication in Springer in Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded to the submission system.

For each accepted paper, at least one author must register for the conference and present the paper at the conference venue.

Submissions must be made online using JEMS https://jems.sbc.org.br/home.cgi?c=4616.

** ATTENTION - About the use of LLMs **

Generative AI models (including Chat-GPT, BARD, LLaMA, Gemini, etc.) or similar LLMs do not meet the article authorship criteria for BRACIS 2024. However, we encourage articles that describe research on or involving such advanced 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 Acknowledgments section, with no harm in the evaluation process.

****** Tracks submission: New in this edition *******

This year, BRACIS will have 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: papers published in top AI conferences or journals in 2023 or 2024 (as a guide, consider the international rankings CS Metrics https://csmetrics.net/ and CS rankings https://csrankings.org/#/index?ai&vision&mlmining&nlp&inforet&robotics&us by selecting AI area or subareas; others can also be considered).

Tracks 1-3 will have no distinction regarding the publication format and the publication in the proceedings. For Track 4, authors must submit a publishable 2-pages extended abstract (references can be on additional pages) that does not violate the copyright of the previous publication. The accepted papers of all tracks will have the same slot for presentation during the conference.

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

- Cognitive Modeling and Human Interaction

- Constraints and Search

- Foundations of AI

- Distributed AI

- Information Retrieval, Integration, and Extraction

- Knowledge Representation and Reasoning

- Commonsense Reasoning

- Model-Based Reasoning

- Probabilistic Reasoning, and Approximate Reasoning

- Ontologies and the Semantic Web

- Logic-based Knowledge Representation and Reasoning

- Natural Language Processing

- Planning and Scheduling

- Evolutionary Computation and Metaheuristics

- Fuzzy Systems

- Neural Networks

- Deep Learning

- Machine Learning and Data Mining

- Meta-learning

- Reinforcement Learning

- Molecular and Quantum Computing

- Pattern Recognition and Cluster Analysis

- Hybrid Systems

- Bioinformatics and Biomedical Engineering using AI

- Combinatorial and Numerical Optimization

- Computer Vision

- Education for AI and AI for Education

- Forecasting

- Game Playing and Intelligent Interactive Entertainment

- Intelligent Robotics

- Multidisciplinary AI and CI

- Foundation Models

- Large Language Models

- Human-centric AI

- Generative AI

- Ethics in AI

GENERAL CHAIR

André Ponce (ICMC/USP)

PROGRAM CHAIRS

Aline Paes (IC/UFF)

Filipe A. N. Verri (IEC/ITA) ------------------------------------------------------------------------------------------------- *Profa. Dra. Aline Paes (she/her)* *Associate professor - Computer Science (Artificial Intelligence)* Institute of Computing / Universidade Federal Fluminense (IC/UFF) Member of CE-PLN https://sites.google.com/view/ce-pln/inicio and BPLN https://brasileiraspln.com/ CNPq PQ-E and FAPERJ JCNE __________________________________________________________ url: www.ic.uff.br/~alinepaes Av Gal Milton Tavares de Souza, S/N, Computing Building, Office 504 São Domingos, Niterói, RJ, Brazil. ZIP 24210-346 ------------------------------------------------------------------------------------------------- ****Please do not feel any pressure to respond out of your own regular working hours. Remember that this is supposed to be an asynchronous tool***