Abstract:
Because reinforcement-trained case-based reasoning systems derive a similarity function through interaction with their environment, they can adapt to user needs. RETCBR t...Show MoreMetadata
Abstract:
Because reinforcement-trained case-based reasoning systems derive a similarity function through interaction with their environment, they can adapt to user needs. RETCBR techniques let researchers apply case-based reasoning in domains where case similarity is difficult to define.
Published in: IEEE Intelligent Systems ( Volume: 18, Issue: 4, July-Aug. 2003)