The 12th edition of CTDIAC (Concurso de Teses e Dissertações em Inteligência Artificial e Computacional) is a satellite event of the Brazilian Conference on Intelligent Systems (BRACIS), which will be held in Rio Grande, RS, Brazil, from October 20 to 23, 2020. Due to the COVID pandemic and the sanitary and economical related issues, CTDIAC 2020 will be a virtual (online) conference.

The main goals of CTDIAC are to disseminate and award the best MSc dissertations and PhD theses (MSc and PhDs concluded in Brazilian universities from June 2018 to May 2020) in Artificial and Computational Intelligence areas. Therefore CTDIAC-2020 welcomes concluded research work in all Artificial Intelligence and Computational Intelligence topics, which include but are not limited to:

  • AI and the Web (AIW)
  • Humans and AI (HAI)
  • Applications (APP)
  • Human-Computation and Crowd Sourcing (HCC)
  • Cognitive Modeling (CM)
  • Knowledge Representation and Reasoning (KRR)
  • Cognitive Systems (CS)
  • Machine Learning (ML)
  • Computational Sustainability (CSUS)
  • Multiagent Systems (MAS)
  • Constraint Satisfaction and Optimization (CSO)
  • Natural Language Processing (NLP)
  • Game Playing and Interactive Entertainment (GPIE)
  • Planning, Routing, and Scheduling (PRS)
  • Game Theory and Economic Paradigms (GTEP)
  • Reasoning under Uncertainty (RU)
  • Heuristic Search and Optimization (HSO)
  • Robotics (ROB)
  • Human-AI Collaboration (HAC)
  • Vision (VIS)
  • Paper submission: June 27, 2020 > 11:59 PM July 08, 2020, UTC-11 NEW deadline
  • Author notification: August 03, 2020 > August 19, 2020
  • Camera-ready due: August 10, 2020 > August 26, 2020

    Deadline for paper submissions: June 27, 2020 > 11:59 PM July 08, 2020, UTC-11 NEW deadline

    Papers can be written in English or in Portuguese and must not exceed 12 pages, including title, abstract, all tables, figures, and references. Overlength submissions will be rejected without review. Submissions violating the formatting guidelines will be rejected without review.

    Authors should use the style file of the IEEE Computer Society Press (conference template). Formatting instructions, as well as templates for Word and /LaTeX/, can be found in https://www.ieee.org/conferences_events/conferences/publishing/templates.html

    CTDIAC expects papers with concluded work, including evaluation and results. The paper should include the name of the advisor (and co-advisors) as co-authors and the following information in the first page after the abstract:

    • Student level (MSc or PhD)
    • Date of conclusion
    • Examining board members
    • Pointer to an on-line version of the full dissertation or thesis (that can be written in English or in Portuguese)
    • Pointers to all publications derived from the research work

    Submission System

    JEMS: https://jems.sbc.org.br/

    Reviewing Process

    CTDIAC will have two phases: in the first phase, which will be eliminatory, a set of submissions will be selected based on the quality of the paper; in the second phase, the selected submissions will be presented and judged during the Brazilian Conference on Intelligent Systems (BRACIS 2020). Notice that in the first phase, the main object of judgment is the paper; while in the second one, the main object of judgment is the full thesis or dissertation. The author of each accepted paper must attend the conference to present the work.

    All accepted papers will likely be published electronically through the SBC Open Lib - SOL.


    M1 - Oct 20 9:00 am*

    Asymmetric Action Abstractions for Real-Time Planning in Extensive-Form Games
    Rubens Moraes Filho (Universidade Federal de Viçosa)

    M1 - Oct 20 9:35 am*

    Automatic Algorithm Selection for the Quadratic Assignment Problem Using Meta-learning and Fitness Landscape Measures
    Augusto Dantas (Universidade Federal do Paraná)

    M1 - Oct 20 10:10 am*

    ML-MDLText: um método de classificação de textos multirrótulo de aprendizado incremental
    Marciele Bittencourt (Universidade Federal de São Carlos)

    M1 - Oct 20 10:45 am*

    Semi-Supervised Self-Organizing Maps with Time-Varying Structures for Clustering and Classification
    Pedro Braga (Universidade Federal de Pernambuco)

    M2 - Oct 20 14:00 pm*

    Sequencing Operator Counts with State-Space Search
    Wesley Kaizer (UFRGS)

    M2 - Oct 20 14:35 pm*

    Transfer Learning by Mapping and Revising Boosted Relational Dependency Networks
    Rodrigo Azevedo Santos (Universidade Federal do Rio de Janeiro)

    D1 - Oct 21 13:30 pm*

    Avanços em Redes Neurais Quânticas
    Fernando de Paula Neto (Universidade Federal de Pernambuco)

    D1 - Oct 21 14:05 pm*

    Goal Recognition over Imperfect Domain Models
    Ramon Fraga Pereira (PUCRS, Porto Alegre)

    D1 - Oct 21 14:40 pm*

    Methods and Algorithms for Knowledge Reuse in Multiagent Reinforcement Learning
    Felipe Leno da Silva (Universidade de São Paulo)

    * 20 minutes of presentation and 15 minutes for questions.

    Examining board members

    MSc Track

    Denis Mauá (IME-USP)
    Edson Takashi Matsubara (FACOM-UFMS)
    Solange O. Rezende (ICMC-USP)

    PhD Track

    Ana Carolina Lorena (ITA)
    Bruno Castro da Silva (UFRGS)
    Moacir Antonelli Ponti (ICMC/USP)

    Andre Britto (UFS) - andre@ufs.br
    Aurora Pozo (UFPR) - aurora@inf.ufpr.br
    Felipe Meneguzzi (PUC-RS) - felipe.meneguzzi@pucrs.br
    Ricardo Marcacini (ICMC/USP) - ricardo.marcacini@icmc.usp.br