Qualitative case-based reasoning for humanoid robot soccer: A new retrieval and reuse algorithm

Página do item simplificado
dc.contributor.authorHOMEM, T. P. D.; PERICO, D. H.; SANTOS, P. E.; BIANCHI, R.; MANTARA, R. L. Qualitative case-based reasoning for humanoid robot soccer: A new retrieval and reuse algorithm. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), p. 170-185,
dc.contributor.authorPERICO, D. H.
dc.contributor.authorSANTOS, P. E.
dc.contributor.authorReinaldo Bianchi
dc.contributor.authorMANTARA, R. L.
dc.contributor.authorOrcidhttps://orcid.org/0000-0001-9097-827X
dc.date.accessioned2022-01-12T21:59:22Z
dc.date.available2022-01-12T21:59:22Z
dc.date.issued2016-11-02
dc.description.abstract© Springer International Publishing AG 2016.This paper proposes a new Case-Based Reasoning (CBR) approach, named Q-CBR, that uses a Qualitative Spatial Reasoning theory to model, retrieve and reuse cases by means of spatial relations. A qualitative distance and orientation calculus (EOPRA) is used to model cases using qualitative relations between the objects in a case. A new retrieval algorithm is proposed that uses the Conceptual Neighborhood Diagram to compute the similarity measure between a new problem and the cases in the case base. A reuse algorithm is also introduced that selects the most similar case and shares it with other agents, based on their qualitative position. The proposed approach was evaluated on simulation and on real humanoid robots. Preliminary results suggest that the proposed approach is faster than using a quantitative model and other similarity measure such as the Euclidean distance. As a result of running Q-CBR, the robots obtained a higher average number of goals than those obtained when running a metric CBR approach.
dc.description.firstpage170
dc.description.lastpage185
dc.description.volume9969 LNAI
dc.identifier.doi10.1007/978-3-319-47096-2_12
dc.identifier.issn1611-3349
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3926
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsAcesso Restrito
dc.subject.otherlanguageCase-based reasoning
dc.subject.otherlanguageHumanoid robots
dc.subject.otherlanguageQualitative spatial reasoning
dc.titleQualitative case-based reasoning for humanoid robot soccer: A new retrieval and reuse algorithm
dc.typeArtigo de evento
fei.scopus.citations11
fei.scopus.eid2-s2.0-84994860566
fei.scopus.subjectEuclidean distance
fei.scopus.subjectHumanoid robot
fei.scopus.subjectQualitative positions
fei.scopus.subjectQualitative relation
fei.scopus.subjectQualitative spatial reasoning
fei.scopus.subjectQuantitative modeling
fei.scopus.subjectRetrieval algorithms
fei.scopus.subjectSimilarity measure
fei.scopus.updated2024-11-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84994860566&origin=inward
Arquivos
Coleções
Artigos