Multistrategy Adaptive Path Planning
IEEE Expert: Intelligent Systems and Their Applications
Modelling the Competence of Case-Bases
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Retrieval, reuse, revision and retention in case-based reasoning
The Knowledge Engineering Review
Case-based reasoning foundations
The Knowledge Engineering Review
Learning adaptation knowledge to improve case-based reasoning
Artificial Intelligence
Representation and Structure-Based Similarity Assessment for Agile Workflows
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Meta-case-based reasoning: self-improvement through self-understanding
Journal of Experimental & Theoretical 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
Complexity-guided case discovery for case based reasoning
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Extending cognitive architecture with episodic memory
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Informed case base maintenance: a complexity profiling approach
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Using case-base data to learn adaptation knowledge for design
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
A propositional approach to textual case indexing
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
CBE-Conveyor: a case-based reasoning system to assist engineers in designing conveyor systems
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
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Case-Based Reasoning solves new problems by reusing solutions from individual experiences stored in the case base. This paper explores beyond the explicit knowledge captured as individual experiences for problem-solving. Instead, the collective knowledge of the case base provides additional implicit knowledge that may be exploited to improve traditional case-based reasoning systems through additional knowledge containers and to provide a new form of self-adaptive case-based reasoning. This paper presents a view that individual experiences are more fully utilised through the wisdom of collective memory.