Explanation in second generation expert systems
Second generation expert systems
Case-based reasoning
Similarity Measures for Structured Representations
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Cases as terms: A feature term approach to the structured representation of cases
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Structural Similarity as Guidance in Case-Based Design
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Explanation in Case-Based Reasoning---Perspectives and Goals
Artificial Intelligence Review
A Case-Based Explanation System for Black-Box Systems
Artificial Intelligence Review
Explanation in Recommender Systems
Artificial Intelligence Review
Remembering similitude terms in CBR
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Explanation in Case-Based Reasoning---Perspectives and Goals
Artificial Intelligence Review
Artificial Intelligence Review
Learning and joint deliberation through argumentation in multiagent systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Predicting the Presence of Oil Slicks After an Oil Spill
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Using symbolic descriptions to explain similarity on CBR
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Knowledge Discovery with Explained Case-Based Reasoning
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
MACSDE: Multi-Agent Contingency Response System for Dynamic Environments
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
On Similarity Measures Based on a Refinement Lattice
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
An argumentation-based framework for deliberation in multi-agent systems
ArgMAS'07 Proceedings of the 4th international conference on Argumentation in multi-agent systems
CROS: A Contingency Response multi-agent system for Oil Spills situations
Applied Soft Computing
Fuzzy rule-based similarity model enables learning from small case bases
Applied Soft Computing
Multiagent and Grid Systems
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A desired capability of automatic problem solvers is that they can explain the results. Such explanations should justify that the solution proposed by the problem solver arises from the known domain knowledge. In this paper we discuss how explanations can be used in case-based reasoning (CBR) in order to justify the results in classification tasks and also for solving new problems. We particularly focus on explanations derived from building a symbolic description of the similar aspects among cases. Moreover, we show how symbolic descriptions of similarity can be exploited in the different processes of CBR, namely retrieve, reuse, revise, and retain.