The structure-mapping engine: algorithm and examples
Artificial Intelligence
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Cooperative Case-Based Reasoning
ECAI '96 Selected papers from the Workshop on Distributed Artificial Intelligence Meets Machine Learning, Learning in Multi-Agent Environments
Collaborative Case-Based Reasoning: Applications in Personalised Route Planning
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Ensemble Case-Based Reasoning: Collaboration Policies for Multiagent Cooperative CBR
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
When Two Case Bases Are Better than One: Exploiting Multiple Case Bases
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Using Configuration Techniques for Adaptation
Case-Based Reasoning Technology, From Foundations to Applications
Retrieval and Reasoning in Distributed Case Bases
Retrieval and Reasoning in Distributed Case Bases
Artificial Intelligence - Special issue on nonmonotonic reasoning
Belief Merging-Based Case Combination
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A domain-independent algorithm for plan adaptation
Journal of Artificial Intelligence Research
Amalgams: a formal approach for combining multiple case solutions
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Hi-index | 0.00 |
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.