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About BRACIS

The 8th Brazilian Conference on Intelligent Systems (BRACIS) and the XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC) will be held in Salvador, BA, Brazil from October 15 to 18, 2019.

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 (21editions), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). The Encontro Nacional de Inteligência Artificial e Computacional (ENIAC) is a national forum for researchers, practitioners, educators and students to present and discuss innovations, trends, experiences, developments and work in progress in the fields of Artificial and Computational Intelligence.

In this year, the STIL - Symposium in Information and Human Language Technology will be held in conjunction with BRACIS 2019. The 2019 editions of BRACIS and ENIAC will be organized as a joint event, with the goal of promoting research in Intelligent Systems and scientific exchange among researchers, practitioners, scientists, and engineers in Artificial and Computational intelligence as well as in related fields.

Committee

BRACIS 2019 Program Chairs

Anne Canuto anne@dimap.ufrn.br

Graçaliz Dimuro gracaliz@gmail.com

ENIAC 2019 Program Chairs

Anisio Mendes Lacerda - anisiom@gmail.com

Reinaldo Bianchi - rbianchi@fei.edu.br

STIL 2019 Program Chairs

Carlos Augusto Prolo - prolo@dimap.ufrn.br

Leandro Oliveira - leandro.oliveira@embrapa.br

Organizing Committee

Tatiane Nogueira Rios - tatiane.nogueira@ufba.br

Ricardo Araújo Rios - ricardoar@ufba.br

Marlo Vieira dos Santos e Souza - msouza1@ufba.br


Main Program

Technical Program

BRACIS Technical Program is available here.

Detailed Program

BRACIS Detailed Program is available here.

Invited Speakers

Dr. Sven Koenig

sven

Title: Planning for Large-Scale Multi-Robot Systems

Bio: Sven Koenig is a professor in computer science at the University of Southern California (USC). He received his Ph.D. degree in computer science from Carnegie Mellon University and holds M.S. degrees from the University of California at Berkeley and Carnegie Mellon University. Most of Sven's research centers around techniques for decision making (planning and learning) that enable single situated agents (such as robots or decision-support systems) and teams of agents to act intelligently in their environments and exhibit goal-directed behavior in real-time, even if they have only incomplete knowledge of their environment, imperfect abilities to manipulate it, limited or noisy perception or insufficient reasoning speed. He believes that finding good solutions to these problems requires approaches that cut across many different fields. Sven is a fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and an ACM Senior Member. He is the recipient of research awards (including an NSF CAREER Award, an IBM Faculty Partnership Award, a Charles Lee Powell Foundation Award and a Raytheon Faculty Fellowship Award) and educational awards (including a Mellon Mentoring Award and an SAIC Student Advisement Award). He was also a program director at the National Science Foundation (NSF) from 2010 to 2012, where he received the Director's Award for Collaborative Integration in both 2011 and 2012. Several of his students won awards as well (including best paper, best dissertation, best research assistant and best teaching assistant awards) and took their first jobs in academia. Sven has edited several conference proceedings and published more than 150 papers in various areas of artificial intelligence and robotics.

Abstract: Multi-robot systems are now being used in industry. For example, hundreds of robots navigate autonomously in Amazon fulfillment centers to move inventory pods all the way from their storage locations to the inventory stations that need the products they store (and vice versa). Autonomous aircraft towing vehicles will soon tow aircraft all the way from the runways to their gates (and vice versa), thereby reducing pollution, energy consumption, congestion, and human workload. Path planning for these robots is difficult, yet one must find high-quality collision-free paths for them in real-time. Shorter paths result in higher throughput or lower operating costs (since fewer robots are required). I will discuss different versions of such multi-robot path-planning problems, algorithms for solving them, and their applications. I will also discuss a planning architecture that combines ideas from artificial intelligence and robotics. It makes use of a simple temporal network to post-process the output of a multi-robot path-planning algorithm in polynomial time to create a plan-execution schedule for robots that provides a guaranteed safety distance between them and exploits slack to absorb imperfect plan executions and avoid time-intensive re-planning in many cases. This talk is suitable for audiences with some computer science background. A background in artificial intelligence or robotics is not necessary.

Dr. Carlos Lopes-Molina

sven

Title: Zadeh and Marr: A tale of two pioneers

Abstract: This talks draws parallelisms between two pioneers in their respective fields: Lotfi Zadeh and David Marr. Zadeh, in his quest of producing intelligent machines, developed a theory of thinking based on human like representation. Marr, on his account, had the opposive quest of reverse-engineering the most relevant thinking engine ever analyzed: the human brain. In this talk we review the convergences and divergences in the ideas of both pioneers, as well as those in the fields created from their work. This will unravel in a common study of how certain topics, as information representation and tolerance to ambiguity, became central to both theories. As a conclusion, the talk will question the actual overlap of the fields of Fuzzy Set Theory and Neurosciences, and the possibilities to exchange developments in both directions.

Dr. Felipe Meneguzzi

sven

Title: Goal Recognition with Real World Data

Bio: Felipe Meneguzzi is a professor in computer science at the Pontifical Catholic University of Rio Grande do Sul (PUCRS). He received his PhD degree in Computer Science from King's College London (KCL) and holds an MSc degree from PUCRS. Prior to hs current appointment Felipe was a Research Fellow at Carnegie Mellon University (CMU) and prior to his academic career he was a Technical Leader at Hewlett Packard Brazil. Felipe's research focuses on reasoning mechanisms for autonomous agents, with a focus on integrating various approaches to achieve not only efficient but also socially good behaviour by following societal norms. To this end, Felipe has contributed with approaches involving planning, machine learning and logic spanning the width of modern AI research. Felipe is currently classified as a highly productive research in Brazil (PQ2) and received numerous awards for his work (including the 2016 Google Research Award for Latin America), service (including the best PC member for PRIMA 2013), and for his students. He currently leads the Research Group on Autonomous Systems at PUCRS where he carries out research on Goal Recognition, Automated Planning and Deep Learning.

Abstract: Plan and goal recognition is the task of inferring the plan and goal of an agent through the observation of its actions and its environment and has a number of applications on computer-human interaction, assistive technologies and surveillance. Recent work on such techniques using planning domain theories require almost perfect engineering of the domain theory and usually rely on assumptions of observability being either full, noise-free, or both. These assumptions are too strong in the real world, regardless of the technique used to translate sensor data into symbolic logic-based observations. In this talk, we discuss plan recognition techniques based on classical planning domain theories gradually relax all of these assumptions by leveraging advances on both symbolic planning and machine learning.

Dr. Hendrik Blockeel

sven

Title: Multi-directional ensembles of decision trees

Bio: Hendrik Blockeel is a full professor and vice-chair at the Department of Computer Science of KU Leuven, and a member of the DTAI research lab (Declarative Languages and Artificial Intelligence). His research interests lie mostly within machine learning, data mining, and AI-based modeling, with particular interests in decision tree based approaches and probabilistic-relational learning. He has published over 150 peer-reviewed articles on these topics, has given keynote talks at multiple international conferences, and has chaired or organized several international conferences and schools. He has taught courses on computer science, machine learning, and statistics at the Universities of Leuven and Leiden, as well as at several international seasonal schools. He is a member of the Informatics board of the Lorentz Center in Leiden; action editor for the journals Machine Learning and Data Mining and Knowledge Discovery; and publications chair for ECML/PKDD, Europe’s premier conference series on machine learning and knowledge discovery. He was awarded Fellowship by EurAI, the European Association for Artificial Intelligence, in 2015.

Abstract: Ensembles of decision trees are among the most frequently used predictive models, with Random Forests and Gradient Boosted Trees as their most successful representatives. In this talk, I will discuss another instantiation: multi-directional ensembles of decision trees, as implemented in the MERCS approach. In a multi-directional ensemble, different trees may have different targets, so that the ensemble as a whole can be used to predict any variable from any other variable. This makes MERCS models very flexible in terms of the tasks they can perform. At the same time, they inherit the efficiency, accuracy, versatility and ease-of-use of decision tree ensembles. I will discuss the advantages and challenges of learning MERCS models and illustrate how they can be used for a variety of tasks.

Call For Papers

8th Brazilian Conference on Intelligent Systems (BRACIS)
Salvador, BA, Brazil, October 15 - 18, 2019


>>>> Deadline for paper submissions: May 6, 2019   May 26, 2019 (new deadline) <<<



The Program Committee of the 8th Brazilian Conference on Intelligent System (BRACIS) invites submissions of original research papers for the conference, to be held in Salvador, BA, Brazil, from October 15th to 18th, 2019.

BRACIS is one of the most important events in Brazil for researchers in the field of Artificial and Computational Intelligence. The conference aims to promote theory and applications of Artificial and Computational Intelligence. BRACIS also aims for the promotion of international level research by exchanging scientific ideas among researchers, practitioners, scientists and engineers.



IMPORTANT DATES


- Paper submission - May 6, 2019   May 26, 2019 (new deadline)

- Notification to authors - June 10, 2019

- Camera-ready copy due - July 10, 2019



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***

Submissions should include significant and previously unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI).

Submitted papers must be written in English, and not exceed 6 pages, including all tables, figures, references, and appendices.

Formatting instructions, as well as templates for Word and LaTeX, are available
at https://www.ieee.org/conferences_events/conferences/publishing/templates.html

All submitted papers will be reviewed by at least two experts in the field and accepted papers will be included in the BRACIS proceedings, published by CPS (http://www.computer.org/portal/web/cscps/) and submitted to the IEEE Xplore Digital Library.

Only PDF files can be uploaded in the submission system.

Papers will be accepted for either oral or poster presentation. However, no distinction will be made between accepted papers in the conference proceedings.



SUBMISSION SYSTEM


JEMS - Journal and Event Management System
https://jems.sbc.org.br/jems2/



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, 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
  • Metalearning
  • Molecular and Quantum Computing
  • Pattern Recognition and Cluster Analysis
  • Hybrid Systems
  • Bioinformatics and Biomedical Engineering
  • Combinatorial and Numerical Optimization
  • Computer VisionEducation
  • Forecasting
  • Game Playing and Intelligent Interactive Entertainment
  • Intelligent Robotics
  • Multidisciplinary AI and CI


GENERAL CHAIR


Tatiane Nogueira Rios, Universidade Federal da Bahia (tatiane.nogueira@ufba.br)



PROGRAM CHAIRS:


Anne Magaly de Paula Canuto, Universidade Federal do Rio Grande do Norte (anne@dimap.ufrn.br)

Graçaliz Dimuro, Universidade Federal do Rio Grande - FURG (gracalizdimuro@furg.br, gracaliz@gmail.com)

Registration

EARLY REGULAR LATE
Up to August 31, 2019 Up to September 30, 2019 Up to October 15, 2019
BRACIS + STIL + ENIAC professional (*)
SBC member R$ 600,00 R$ 700,00 R$ 800,00
Non SBC member (registration + SBC membership) R$ 840,00 R$ 940,00 R$ 1.040,00
Non SBC member R$ 900,00 R$ 1.010,00 R$ 1.120,00
STIL only (**)
SBC member R$ 400,00 R$ 500,00 R$ 600,00
Non SBC member (registration + SBC membership) R$ 640,00 R$ 740,00 R$ 840,00
Non SBC member R$ 680,00 R$ 790,00 R$ 900,00
BRACIS + STIL + ENIAC student (*)
SBC member R$ 300,00 R$ 400,00 R$ 500,00
Non SBC member (registration + SBC membership) R$ 385,00 R$ 485,00 R$ 585,00
Non SBC member R$ 415,00 R$ 525,00 R$ 635,00
BRACIS + STIL + ENIAC undergraduate (*)
SBC member R$ 200,00 R$ 300,00 R$ 400,00
Non SBC member (registration + SBC membership) R$ 221,00 R$ 321,00 R$ 421,00
Non SBC member R$ 241,00 R$ 351,00 R$ 461,00
Extra
Extra paper fee R$ 350,00 - -
Conference dinner
Dinner ticket R$ 130,00 R$ 150,00 R$ 150,00


(*) BRACIS fees (PROFESSIONAL, STUDENT, and UNDERGRADUATE) give access to all BRACIS'2019 conference activities (BRACIS+STIL+ENIAC).

(**) STIL-ONLY fees give access just to STIL activities.

Registration + SBC Membership. This category refers to a discounted rate applied when registering to the event and becoming a member of the Brazilian Computer Society (SBC). This modality was created intending to make these two benefits cheaper than purchasing each one separately, being the most advantageous option to whom is not an SBC member yet. More information can be found at the SBC's FAQ page (only in Brazilian Portuguese). Please read the FAQ about the SBC Combo (in Portuguese).

Student fees (STUDENT and UNDERGRADUATE) are available only for students who are enrolled in a higher education institution as an undergraduate or graduate student (Ph.D or Master). Proof of student status containing affiliation, attendee's name, enrollment course, and current date must be shown upon request. Failure to present such a proof document will imply paying the difference for Professional registration category (with no discount) in case of wishing to attend the Summer School.

***Student fee does not apply to pos-docs***

PUBLICATION POLICY - NEW

Each BRACIS + STIL + ENIAC PROFESSIONAL REGISTRATION (OR BRACIS STUDENT REGISTRATION with a Publication Paper Fee) covers up to two accepted papers in any BRACIS2019 event (e.g., 2 BRACIS papers, 1 BRACIS + 1 ENIAC paper, 1 ENIAC + 1 STIL paper,…).

Papers accepted in BRACIS must be registered until August 15th.

If you have more than 2 papers accepted in BRACIS, ENIAC, and STIL, you must pay the Extra Paper Fee for each paper beyond the second.

CANCELATION POLICY

Registrations can be cancelled up to a week before the event. Only 80% of the registration fee will be returned.

PAYMENT

Payments made by ticket and debit ends on 10/10/2019. Payments can be made by credit card, note of commitment (nota de empenho), and billing until the last day of the event. During the event it is possible to pay in cash.

Student Supports

Next Information will be given only in portuguese

Auxílio para participação de estudantes no BRACIS 2019

Está aberta a chamada para pagamento de auxílio a estudantes que desejam participar do BRACIS 2019 em Salvador.

Período de inscrição: 20/09 a 01/10

Auxílios: Hospedagem, inscrição e alimentação.

Inscrição: https://forms.gle/WNn46KhxWC7N8uFd6

Todos os alunos de graduação e pós-graduação, ainda não inscritos no BRACIS 2019, podem participar, mas a seleção priorizará estudantes do sexo feminino de Instituições de Ensino Superior das regiões Norte, Nordeste e Centro-Oeste, que estejam em condições comprovadas de vulnerabilidade social. Além disso, nossos critérios de seleção priorizarão estudantes negros que estejam matriculados em Cursos de Graduação ou Programas de Pós-graduação com as notas mais baixas no ENADE ou na avaliação quadrienal da CAPES, respectivamente.

Para fins de classificação, a nota final de cada candidato será definida pela equação abaixo:



--Variáveis--

+Sexo Feminino (F) = {0,1}

+Vulnerabilidade (V) = {0,1}

+Norte/Nordeste/Centro-Oeste (R) = {0,1}

+Negro (N) = {0,1}

+Índice do curso de graduação ou do programa de pós-graduação (Ic)

Para confirmar a situação de vulnerabilidade, o aluno precisa enviar algum documento que comprove essa condição, o qual pode ser fornecido pela instituição onde o aluno está matriculado.

O valor utilizado pela variável Ic dependerá da seguinte equação:



A Nota ENADE (E) que será utilizada para compor o índice Ic será calculado com base nas informações fornecidas para o ano de 2017 no site http://enadeies.inep.gov.br/enadeIes/enadeResultado/ Para cursos sem nota ENADE, utilizaremos a nota 1.

De maneira semelhante, para a nota CAPES (C) será utilizado o resultado final da Avaliação Quadrienal 2017 (intervalo considerado: 2 a 7).

Todo o suporte financeiro desta chamada foi concedido por: "Artificial Intelligence Journal: FUNDING OPPORTUNITIES for PROMOTING AI RESEARCH"


Venue

Salvador, also known as São Salvador da Bahia de Todos os Santos (English: Savior; Saint Savior from the Bay of All Saints) is the capital of the Brazilian state of Bahia. With 2.9 million people (2017), it is the largest city proper in the Northeast Region and the 4th largest city proper in the country, after São Paulo, Rio de Janeiro and Brasília.

Founded by the Portuguese in 1549 as the first capital of Brazil, Salvador is one of the oldest colonial cities in the Americas. A sharp escarpment divides its Lower Town (Cidade Baixa) from its Upper Town (Cidade Alta) by some 85 meters (279 ft). The Elevador Lacerda, Brazil's first elevator, has connected the two since 1873. The Pelourinho district of the upper town, still home to many examples of Portuguese colonial architecture and historical monuments, was named a World Heritage Site by UNESCO in 1985. The city's cathedral is the see of the primate of Brazil and its Carnival celebration has been reckoned as the largest party in the world. Salvador was the first slave port in the Americas and the African influence of the slaves' descendants makes it a center of Afro-Brazilian (negro) culture. The city is noted for its cuisine, music, dance and architecture. Porto da Barra Beach in Barra has been named one of the best beaches in the world. Itaipava Arena Fonte Nova was the site of the city's games during the 2014 Brazilian World Cup and 2013 Confederations Cup.

Salvador forms the heart of the Recôncavo, Bahia's rich agricultural and industrial maritime district, and continues to be a major Brazilian port. Its metropolitan area, housing 3 899 533 people (2018) forms the wealthiest one in Brazil's Northeast Region (2015).

The city of Salvador is notable in Brazil for its cuisine, music and architecture. Over 80% of the population of metropolitan region of Salvador has Black African ancestry, the African influence in many cultural aspects of the city makes it the center of Afro-Brazilian culture. The historical center of Salvador, frequently called the Pelourinho, is renowned for its Portuguese colonial architecture with historical monuments dating from the 17th through the 19th centuries and has been declared a World Heritage Site by UNESCO in 1985.

The Deputado Luís Eduardo Magalhães Airport connects Salvador with all major Brazilian cities and also operates several international flights.

Cocktail Location

The Cocktail of BRACIS 2019 will be held at RV Lounge restaurant.

Conference Dinner Location

The conference dinner it will be held at Blue Praia Bar restaurant.

Conference Location

The 2019 Brazilian Conference on Intelligent Systems (BRACIS) will be held at Mercure Hotel located at Rio Vermelho, which is one of the most famous neighborhood in Salvador (Bahia - Brazil). Besides its wonderful beaches (Paciência and Buracão), this place is known by a high number of pubs and restaurants, making you comfortable to try the traditional cuisine and local culture from Salvador.

MERCURE HOTEL (BREAKFAST INCLUDED):

CATEGORY DAILY
STANDARD SINGLE APARTMENT (city view, 1st to 6th floor) R$ 261.00 + 5% ISS
STANDARD DOUBLE APARTMENT (city view, 1st to 6th floor) R$ 305.00+ 5% ISS
SINGLE TOP APARTMENT (sea view, 1st to 6th floor) R$ 301.00+ 5% ISS
DOUBLE TOP APARTMENT (sea view, 1st to 6th floor) R$ 345.00 + 5% ISS

More information on the hotel can be found here.

Other hotels and hostels nearby:
  • Ibis Rio Vermelho - 2 m
  • Hostel Rio Vermelho - 290 m
  • Red River Hostel - 550 m
  • The Hostel Salvador - 1.1 km
  • Che Lagarto Hostel - 6.3 km
  • Laranjeiras Hostel - 7 km

We recommend you the following restaurants in this area:
  • Manjericão Restaurante Natural - 140 m
  • Casa de Tereza - 400 m
  • Salvador Dali Restaurante - 700 m
  • Shanti Restaurante (cozinha pan-asiática) - 1 km

Transportation Instructions

Luis Eduardo Magalhães Airport (SSA)


Taxi

 Coometas counters is a taxi company with a fleet of 121 executives vehicles.


App transportation services

 There is an specific area to get Uber/99 drivers.


Metro

 There is a free shuttle bus service to and from the railway station.


Bus

 First Class Airport Bus Service is a shuttle bus to and from the downtown and main hotels in Salvador.

Organization



Promotion



Sponsors

Gold Sponsorship:




Bronze Sponsorship:




How to support our event

Please check our marketing proposal here and contact us through the e-mail bracis2019@ufba.br



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