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  • Conference proceedings
  • © 2020

Intelligent Systems

9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20–23, 2020, Proceedings, Part II

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12320)

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

Conference series link(s): BRACIS: Brazilian Conference on Intelligent Systems

Conference proceedings info: BRACIS 2020.

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Table of contents (45 papers)

  1. Front Matter

    Pages i-xxiii
  2. Agent and Multi-agent Systems, Planning and Reinforcement Learning

    1. Front Matter

      Pages 1-1
    2. A Multi-level Approach to the Formal Semantics of Agent Societies

      • Alison R. Panisson, Rafael H. Bordini, Antônio Carlos da Rocha Costa
      Pages 3-17
    3. A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Design of Combinational Logic Circuits

      • Frederico José Dias Möller, Heder Soares Bernardino, Luciana Brugiolo Gonçalves, Stênio Sã Rosário Furtado Soares
      Pages 18-32
    4. AgentDevLaw: A Middleware Architecture for Integrating Legal Ontologies and Multi-agent Systems

      • Fábio Aiub Sperotto, Marilton Sanchotene de Aguiar
      Pages 33-46
    5. An Argumentation-Based Approach for Explaining Goals Selection in Intelligent Agents

      • Mariela Morveli-Espinoza, Cesar A. Tacla, Henrique M. R. Jasinski
      Pages 47-62
    6. Application-Level Load Balancing for Reactive Wireless Sensor Networks: An Approach Based on Constraint Optimization Problems

      • Igor Avila Pereira, Lisane B. de Brisolara, Paulo Roberto Ferreira Jr.
      Pages 63-76
    7. Cooperative Observation of Smart Target Agents

      • Matheus S. Araújo, Thayanne F. da Silva, Vinícius A. Sampaio, Gabriel F. L. Melo, Raimundo J. Ferro Junior, Leonardo F. da Costa et al.
      Pages 77-92
    8. Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning

      • Milton Condori Fernandez, Leliane N. de Barros, Denis Mauá, Karina V. Delgado, Valdinei Freire
      Pages 93-107
    9. On the Performance of Planning Through Backpropagation

      • Renato Scaroni, Thiago P. Bueno, Leliane N. de Barros, Denis Mauá
      Pages 108-122
    10. Risk Sensitive Stochastic Shortest Path and LogSumExp: From Theory to Practice

      • Elthon Manhas de Freitas, Valdinei Freire, Karina Valdivia Delgado
      Pages 123-139
    11. Solving Multi-Agent Pickup and Delivery Problems Using a Genetic Algorithm

      • Ana Carolina L. C. Queiroz, Heder S. Bernardino, Alex B. Vieira, Helio J. C. Barbosa
      Pages 140-153
  3. Knowledge Representation, Logic and Fuzzy Systems

    1. Front Matter

      Pages 169-169
    2. A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency

      • André Luis Cristiani, Tiago Pinho da Silva, Heloisa de Arruda Camargo
      Pages 171-186
    3. A Fuzzy Reasoning Method Based on Ensembles of Generalizations of the Choquet Integral

      • Giancarlo Lucca, Eduardo N. Borges, Helida Santos, Graçaliz P. Dimuro, Tiago C. Asmus, José A. Sanz et al.
      Pages 187-200
    4. A Useful Tool to Support the Ontology Alignment Repair

      • Miriam Oliveira dos Santos, Carlos Eduardo Ribeiro de Mello, Tadeu Moreira de Classe
      Pages 201-215
    5. Aggregation with Weak, Axiological and Strong Sufficientarian Functions

      • Henrique Viana, João Alcântara
      Pages 216-230
    6. An Alternative to Power Measure for Fuzzy Rule-Based Classification Systems

      • Frederico B. Tiggemann, Bryan G. Pernambuco, Giancarlo Lucca, Eduardo N. Borges, Helida Santos, Graçaliz P. Dimuro et al.
      Pages 231-244

Other Volumes

  1. Intelligent Systems

About this book

The two-volume set LNAI 12319 and 12320 constitutes the proceedings of the 9th Brazilian Conference on Intelligent Systems, BRACIS 2020, held in Rio Grande, Brazil, in October 2020.

The total of 90 papers presented in these two volumes was carefully reviewed and selected from 228 submissions.

The contributions are organized in the following topical section:

Part I: Evolutionary computation, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and natural language processing.

Part II: Agent and multi-agent systems, planning and reinforcement learning; knowledge representation, logic and fuzzy systems; machine learning and data mining; and multidisciplinary artificial and computational intelligence and applications.

Due to the Corona pandemic BRACIS 2020 was held as a virtual event.

Editors and Affiliations

  • Federal University of São Carlos, São Carlos, Brazil

    Ricardo Cerri

  • Federal University of ABC, Santo Andre, Brazil

    Ronaldo C. Prati

Bibliographic Information

Buy it now

Buying options

eBook USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access