Different agents in a multiagent system might have different solution quality or preference criteria. Therefore, when solving problems collaboratively using CBR, case reuse must take this into account. In this paper we propose ABARC, a model for multiagent case reuse, which divides case reuse in two stages: individual reuse, where agents generate full solutions internally, and multiagent reuse, where agents engage in a deliberation process in order to reach an agreement on a final solution. Specifically, ABARC is based on the idea of amalgam, which is a way to generate solutions by combining multiple solutions into one. We illustrate ABARC in the domain of interior room design. © 2011 Springer-Verlag.
CITATION STYLE
Manzano, S., Ontañón, S., & Plaza, E. (2011). Amalgam-based reuse for multiagent case-based reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6880 LNAI, pp. 122–136). https://doi.org/10.1007/978-3-642-23291-6_11
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