@article{davoust_use_2008,

title = {Use of fuzzy histograms to model the spatial distribution of objects in case-based reasoning},

author = {A. Davoust and M. W. Floyd and B. Esfandiari},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-44649181663&doi=10.1007%2f978-3-540-68825-9_8&partnerID=40&md5=2d0164da55518a67bd43a88e53bf4afc},

doi = {10.1007/978-3-540-68825-9_8},

issn = {03029743},

year  = {2008},

date = {2008-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {5032 LNAI},

pages = {72–83},

abstract = {In the context of the RoboCup Simulation League, we describe a new representation of a software agent's visual perception ("scene"), well suited for case-based reasoning. Most existing representations use either heterogeneous, manually selected features of the scene, or the raw list of visible objects, and use ad hoc similarity measures for CBR. Our representation is based on histograms of objects over a partition of the scene space. This method transforms a list of objects into an image-like representation with customizable granularity, and uses fuzzy logic to smoothen boundary effects of the partition. We also introduce a new similarity metric based on the Jaccard Coefficient, to compare scenes represented by such histograms. We present our implementation of this approach in a case-based reasoning project, and experimental results showing highly efficient scene comparison. © 2008 Springer-Verlag Berlin Heidelberg.},

note = {ISBN: 3540688218; 9783540688211 

Place: Windsor},

keywords = {Ad hoc networks, Case based reasoning, Computer Simulation, Fuzzy Histograms, Fuzzy logic, Fuzzy sets, Mathematical models, Soccer Simulation, Software agents},

pubstate = {published},

tppubtype = {article}

}

@article{floyd_considerations_2008,

title = {Considerations for real-time spatially-aware case-based reasoning: A case study in robotic soccer imitation},

author = {M. W. Floyd and A. Davoust and B. Esfandiari},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-52449121574&doi=10.1007%2f978-3-540-85502-6_13&partnerID=40&md5=cba3038fb365eb8aa7088030a41dde83},

doi = {10.1007/978-3-540-85502-6_13},

issn = {03029743},

year  = {2008},

date = {2008-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {5239 LNAI},

pages = {195–209},

abstract = {Case-base reasoning in a real-time context requires the system to output the solution to a given problem in a predictable and usually very fast time frame. As the number of cases that can be processed is limited by the real-time constraint, we explore ways of selecting the most important cases and ways of speeding up case comparisons by optimizing the representation of each case. We focus on spatially-aware systems such as mobile robotic applications and the particular challenges in representing the systems' spatial environment. We select and combine techniques for feature selection, clustering and prototyping that are applicable in this particular context and report results from a case study with a simulated RoboCup soccer-playing agent. Our results demonstrate that preprocessing such case bases can significantly improve the imitative ability of an agent. © Springer-Verlag Berlin Heidelberg 2008.},

note = {ISBN: 3540855017; 9783540855019 

Place: Trier},

keywords = {Aware systems, Case based reasoning, Case bases, Case studies, Case-base reasoning, European, Feature selection, Mobile robotic, Prototyping, Real-time constraints, RoboCup soccer, Robotic soccer, Robotics, Spatial environments, Time frames},

pubstate = {published},

tppubtype = {article}

}