ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Machine Learning and Its Applications, Advanced Lectures
Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study
Expert Systems with Applications: An International Journal
Toward a probabilistic formalization of case-based inference
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Experimental evaluation of an automatic parameter setting system
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
We describe an integrated problem solving architecture named INBANCA in which Bayesian networks and case-based reasoning (CBR) work cooperatively on multiagent planning tasks. This includes two-team dynamic tasks, and this paper concentrates on simulated soccer as an example. Bayesian networks are used to characterize action selection whereas a case-based approach is used to determine how to implement actions. This paper has two contributions. First, we survey integrations of case-based and Bayesian approaches from the perspective of a popular CBR task decomposition framework, thus explaining what types of integrations have been attempted. This allows us to explain the unique aspects of our proposed integration. Second, we demonstrate how Bayesian nets can be used to provide environmental context, and thus feature selection information, for the case-based reasoner.