IEEE Transactions on Pattern Analysis and Machine Intelligence
Cooperative Case-Based Reasoning
ECAI '96 Selected papers from the Workshop on Distributed Artificial Intelligence Meets Machine Learning, Learning in Multi-Agent Environments
Error-Correcting Output Codes for Local Learners
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Naive Bayesian Classifier Committees
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Lazy Induction of Descriptions for Relational Case-Based Learning
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Modelling the Competence of Case-Bases
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Perspectives: A Declarative Bias Mechanism for Case Retrieval
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Automatically Selecting Strategies for Multi-Case-Base Reasoning
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Five Perspectives on Case Based Reasoning
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Four Heads Are Better than One: Combining Suggestions for Case Adaptation
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Designing intelligent healthcare operations
CARE@AI'09/CARE@IAT'10 Proceedings of the CARE@AI 2009 and CARE@IAT 2010 international conference on Collaborative agents - research and development
Mental models of ambient systems: a modular research framework
CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
Using ensembles of binary case-based reasoners
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Self-organising hierarchical retrieval in a case-agent system
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
A case-based approach to open-ended collective agreement with rational ignorance
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Amalgam-Based reuse for multiagent case-based reasoning
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
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Multiagent systems offer a new paradigm to organize AI applications. Our goal is to develop techniques to integrate CBR into applications that are developed as multiagent systems. CBR offers the multiagent systems paradigm the capability of autonomously learning from experience. In this paper we present a framework for collaboration among agents that use CBR and some experiments illustrating the framework. We focus on three collaboration policies for CBR agents: Peer Counsel, Bounded Counsel and Committee policies. The experiments show that the CBR agents improve their individual performance collaborating with other agents without compromising the privacy of their own cases. We analyze the three policies concerning accuracy, cost, and robustness with respect to number of agents and case base size.