Call for papers

IMPORTANT DATES

– Paper Registration – June 30, 2024 – AoE. 
– Paper submission – July 01, 2024 – AoE.
– Notification to authors – August 21, 2024.
– Camera-ready copy due – August 31, 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 Conference Proceedings guidelines. Springer’s proceedings LaTeX templates are also available in Overleaf.

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.

ATTENTION
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 Acknowledgements 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 and CS rankings 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-page extended abstract (excluding references) that does not violate the copyright of the previous publication. Track 4 does not need to be double-blind, 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.

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)