A hybrid approach to learn, retrieve and reuse qualitative cases

Thiago P.D. Homem, Danilo H. Perico, Paulo E. Santos, Anna H.R. Costa, Reinaldo A.C. Bianchi, Ramon Lopez de Mantaras

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The application of Artificial Intelligence methods is becoming indispensable in several domains, for instance in credit card fraud detection, voice recognition, autonomous cars and robotics. However, some methods fail in performances or solving some problems, and hybrid approaches can outperform the results when compared to traditional ones. In this paper we present a hybrid approach, named qualitative case-based reasoning and learning (QCBRL), that integrates three well-known AI methods: Qualitative Spatial Reasoning, Case-Based Reasoning and Reinforcement Learning. QCBRL system was designed to allow an agent to learn, retrieve and reuse qualitative cases in the robot soccer domain. We applied our method in the Half-Field Offense and we have obtained promising results.

Original languageEnglish
Title of host publicationProceedings - 2017 LARS 14th Latin American Robotics Symposium and 2017 5th SBR Brazilian Symposium on Robotics, LARS-SBR 2017 - Part of the Robotics Conference 2017
EditorsFlavio Tonidandel, Eduardo Todt
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538609569
DOIs
Publication statusPublished - 15 Dec 2017
Externally publishedYes
Event14th Latin American Robotics Symposium and 5th Brazilian Symposium on Robotics, LARS-SBR 2017 - Curitiba, Brazil
Duration: 8 Nov 201710 Nov 2017

Publication series

NameProceedings - 2017 LARS 14th Latin American Robotics Symposium and 2017 5th SBR Brazilian Symposium on Robotics, LARS-SBR 2017 - Part of the Robotics Conference 2017
Volume2017-December

Conference

Conference14th Latin American Robotics Symposium and 5th Brazilian Symposium on Robotics, LARS-SBR 2017
CountryBrazil
CityCuritiba
Period8/11/1710/11/17

Keywords

  • artificial intelligence
  • qualitative case-based reasoning
  • Qualitative Spatial Reasoning
  • Case-based reasoning
  • reinforcement learning

Fingerprint Dive into the research topics of 'A hybrid approach to learn, retrieve and reuse qualitative cases'. Together they form a unique fingerprint.

  • Cite this

    Homem, T. P. D., Perico, D. H., Santos, P. E., Costa, A. H. R., Bianchi, R. A. C., & Lopez de Mantaras, R. (2017). A hybrid approach to learn, retrieve and reuse qualitative cases. In F. Tonidandel, & E. Todt (Eds.), Proceedings - 2017 LARS 14th Latin American Robotics Symposium and 2017 5th SBR Brazilian Symposium on Robotics, LARS-SBR 2017 - Part of the Robotics Conference 2017 (pp. 1-6). (Proceedings - 2017 LARS 14th Latin American Robotics Symposium and 2017 5th SBR Brazilian Symposium on Robotics, LARS-SBR 2017 - Part of the Robotics Conference 2017; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SBR-LARS-R.2017.8215309