Abstract | ||
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Abstract This paper describes a novel,architecture for a case- based reasoning (CBR) system. Unlike other agent CBR systems in this architecture every case is an autonomous agent with its own retrieval, adaptation and maintenance,behaviour. The paper discusses the motivation,for this research and what impact ,this architecture has on the ,main tasks of processes ,of a CBR system. The paper concludes ,by describing some,potential ,problems ,and ,benefits ,of the architecture. |
Year | Venue | Keywords |
---|---|---|
2004 | FLAIRS Conference | case base reasoning,autonomous agent |
Field | DocType | Citations |
Autonomous agent,Architecture,Software engineering,Computer science,Agent architecture,Artificial intelligence,Machine learning | Conference | 1 |
PageRank | References | Authors |
0.35 | 4 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ian Watson | 1 | 242 | 22.95 |