Call For Papers - BRACIS 2023 - 12th Brazilian Conference on Intelligent Systems
12th Brazilian Conference on Intelligent Systems (BRACIS) Belo Horizonte, MG, Brazil, September 25th to 29th, 2023. https://www.bracis.dcc.ufmg.br/
Deadline for paper submissions: May 5th, 2023 <<<
The Program Committee of the 12th Brazilian Conference on Intelligent Systems (BRACIS) invites submissions of original research papers for the conference to be held in Belo Horizonte, MG, Brazil, from September 25th to 29th, 2023, at the UFMG.
BRACIS is one of the most important events 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 conference aims to promote theoretical aspects and applications of Artificial and Computational Intelligence and exchange scientific ideas among researchers, practitioners, scientists, and engineers.
IMPORTANT DATES
- Paper submission - May 5th, 2023. - Notification to authors - July 19th, 2023. - Camera-ready copy due - August 10th, 2023.
SPECIAL ISSUES
Authors of selected 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 BRACIS submission is double-blind* This means that both the reviewer and author identities 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.
Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI).
Submitted papers must be written in English and not exceed 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.
Submissions must be made online using the JEMS system: https://jems.sbc.org.br/bracis2023
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 Computer Science (LNCS) / Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded to the submission system.
TOPICS OF INTEREST
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 (including Commonsense Reasoning, Model-Based Reasoning, Probabilistic Reasoning, and Approximate Reasoning) - Knowledge Representation and Reasoning in 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 - Combinatorial and Numerical Optimization - Computer Vision - Education - Forecasting - Game Playing and Intelligent Interactive Entertainment - Intelligent Robotics - Multidisciplinary AI and CI - Foundation Models - Human-centric AI - Ethics
GENERAL CHAIR
Gisele Pappa (UFMG) Wagner Meira Jr (UFMG)
PROGRAM CHAIRS
Reinaldo A. C. Bianchi (Centro Universitário FEI) Murilo Nardi (UFSCAR)
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