@inproceedings{64c6a03ba60f49d387b841251968d690,
title = "Considerations for Real-Time Spatially-Aware Case-Based Reasoning: A Case Study in Robotic Soccer Imitation",
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{\textquoteright} 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.",
author = "Floyd, {Michael W.} and Alan Davoust and Babak Esfandiari",
year = "2008",
doi = "10.1007/978-3-540-85502-6_13",
language = "English",
isbn = "978-3-540-85501-9",
series = "Lecture Notes in Computer Science (LNCS)",
publisher = "Springer",
pages = "195--209",
booktitle = "Advances in Case-Based Reasoning",
address = "United Kingdom",
}