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Advances in Artificial Intelligence - SBIA 2012

21st Brazilian Symposium on Artificial Intelligence, Curitiba, Brazil, October 20-25, 2012, Proceedings

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Leliane N. Barros

    1. IME, Department of Computer Science, University of São Paulo, Brazil

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  2. Marcelo Finger

    1. IME, Department of Computer Science, University of São Paulo, São Paulo, Brazil

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  3. Aurora T. Pozo

    1. DInf - Federal University of Paraná, Curitiba, Brazil

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  4. Gustavo A. Gimenénez-Lugo

    1. Federal University of Technology, Paraná, Brazil

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  5. Marcos Castilho

    1. Department of Inforumatics, Federal University of Paraná, Curitiba, Brazil

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7589)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: SBIA 2012.

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Table of contents (23 papers)

  1. Front Matter

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  2. Chapter 1: Knowledge Representation

    1. On the Development of a Formal Methodology for Knowledge Representation in Defeasible Logic Programming

      • Alejandro G. Stankevicius, Marcela Capobianco
      Pages 1-11

    2. A Framework for Empirical Evaluation of Belief Change Operators

      • Renato U. Lundberg, Márcio M. Ribeiro, Renata Wassermann
      Pages 12-21

    3. Sensorimotor Domain Approach for Artificial Autonomous Cognitive Development

      • Mauro E. S. Muñoz, Márcio Lobo Netto
      Pages 22-31

    4. A Service-Oriented Architecture for Assisting the Authoring of Semantic Crowd Maps

      • Henrique Santos, Vasco Furtado
      Pages 32-41

    5. User-Centric Principles in Automated Decision Making

      • Ingrid Nunes, Simon Miles, Michael Luck, Carlos J. P. de Lucena
      Pages 42-51

  3. Chapter 2: Machine Learning

    1. Wearable Computing: Accelerometers’ Data Classification of Body Postures and Movements

      • Wallace Ugulino, Débora Cardador, Katia Vega, Eduardo Velloso, Ruy Milidiú, Hugo Fuks
      Pages 52-61

    2. Density-Based Pattern Discovery in Distributed Time Series

      • Josenildo C. da Silva, Gustavo H. B. Oliveira, Omar A. C. Cortes, Matthias Klusch
      Pages 62-71

    3. Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain

      • Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
      Pages 72-81

    4. Automatic Analysis of Leishmania Infected Microscopy Images via Gaussian Mixture Models

      • Pedro A. Nogueira, Luís Filipe Teófilo
      Pages 82-91

    5. Link Prediction in Complex Networks Based on Cluster Information

      • Jorge Carlos Valverde-Rebaza, Alneu de Andrade Lopes
      Pages 92-101

    6. A Parallel Approach to Clustering with Ant Colony Optimization

      • Guilherme N. Ramos
      Pages 102-111

    7. On the Use of Consensus Clustering for Incremental Learning of Topic Hierarchies

      • Ricardo M. Marcacini, Eduardo R. Hruschka, Solange O. Rezende
      Pages 112-121

  4. Chapter 3: Machine Learning and Computer Vision

    1. Image Retrieval by Content Based on a Visual Attention Model and Genetic Algorithms

      • Milton Roberto Heinen, Paulo Martins Engel
      Pages 122-131

    2. A Symbolic Representation Method to Preserve the Characteristic Slope of Time Series

      • Willian Zalewski, Fabiano Silva, Feng Chung Wu, Huei Diana Lee, André Gustavo Maletzke
      Pages 132-141

  5. Chapter 4: Multi Agent Systems

    1. Orchestrating Multiagent Learning of Penalty Games

      • Ana L. C. Bazzan
      Pages 142-151

    2. An Architectural Model for Autonomous Normative Agents

      • Baldoino F. dos Santos Neto, Viviane Torres da Silva, Carlos J. P. de Lucena
      Pages 152-161

    3. A Coalition Formation Mechanism for Trust and Reputation-Aware Multi-Agent Systems

      • Bruno W. P. Hoelz, Célia Ghedini Ralha
      Pages 162-171

    4. Profile Recommendation in Communities of Practice Based on Multiagent Systems

      • João Luis Tavares da Silva, Sidinei D. Lubenow, Alexandre M. Ribeiro
      Pages 172-181

  6. Chapter 5: Robotic and Language

    1. Knowledge-Intensive Word Disambiguation via Common-Sense and Wikipedia

      • Vládia Pinheiro, Vasco Furtado, Lívio Melo Freire, Caio Ferreira
      Pages 182-191
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About this book

This book constitutes the refereed proceedings of the 21st Brazilian Symposium on Artificial Intelligence, SBIA 2012, held in Curitiba, Brazil, in October 2012. The 23 revised full papers presented were carefully reviewed and selected from 81 submissions. The papers cover the following topics: knowledge representation, machine learning, machine learning and computer vision, agent-based and multi-agent systems, robotics and language, as well as constraints.

Editors and Affiliations

  • IME, Department of Computer Science, University of São Paulo, Brazil

    Leliane N. Barros

  • IME, Department of Computer Science, University of São Paulo, São Paulo, Brazil

    Marcelo Finger

  • DInf - Federal University of Paraná, Curitiba, Brazil

    Aurora T. Pozo

  • Federal University of Technology, Paraná, Brazil

    Gustavo A. Gimenénez-Lugo

  • Department of Inforumatics, Federal University of Paraná, Curitiba, Brazil

    Marcos Castilho

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