Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Supporting Dialogue Inferencing in Conversational Case-Based Reasoning
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
A Dynamic Approach to Reducing Dialog in On-Line Decision Guides
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Refining Conversational Case Libraries
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Integrating Pedagogical Agents into Virtual Environments
Presence: Teleoperators and Virtual Environments
Increasing dialogue efficiency in case-based reasoning without loss of solution quality
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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Conversational Case Based Reasoning (CCBR) is a form of CBR where users initiate conversations with the system to solve a certain problem. Current CCBR solutions are limited to specific domains. In the solutions we find a lack of flexibility to deal with the user's variability: different conversation strategies depending on the user's current mood, computer skills, and domain expertise. We focus our framework, COBBER, in the user's variability during a computer session. COBBER is a CCBR framework to build CCBR applications in a systematic way. The framework offers, independently to the domain, models of different conversation strategies using causal loops.