TY - GEN
T1 - A hybrid approach to learn, retrieve and reuse qualitative cases
AU - Homem, Thiago P.D.
AU - Perico, Danilo H.
AU - Santos, Paulo E.
AU - Costa, Anna H.R.
AU - Bianchi, Reinaldo A.C.
AU - Lopez de Mantaras, Ramon
PY - 2017/12/15
Y1 - 2017/12/15
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - qualitative case-based reasoning
KW - Qualitative Spatial Reasoning
KW - Case-based reasoning
KW - reinforcement learning
UR - http://www.scopus.com/inward/record.url?scp=85048539456&partnerID=8YFLogxK
U2 - 10.1109/SBR-LARS-R.2017.8215309
DO - 10.1109/SBR-LARS-R.2017.8215309
M3 - Conference contribution
AN - SCOPUS:85048539456
T3 - 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
SP - 1
EP - 6
BT - 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
A2 - Tonidandel, Flavio
A2 - Todt, Eduardo
PB - Institute of Electrical and Electronics Engineers
T2 - 14th Latin American Robotics Symposium and 5th Brazilian Symposium on Robotics, LARS-SBR 2017
Y2 - 8 November 2017 through 10 November 2017
ER -