Abstract
Research on CBR appears to be gaining momentum because of several reasons: new application domains, a closer alliance with research on analogy and creativity, hybrid approaches for the different CBR processes, a renewed interest on textual and conversational systems, management of big case bases, and explanation, transparency, and trust of the reasoning results based on the underlying examples.Sarah Jane Delaney (Dublin Institute of Technology, Ireland) and Stefania Montani (University Piemonte Orientale, Italy) organized the eighth annual ICCBR Doctoral Consortium (DC) that provided 10 PhD students with opportunities to present their ongoing work, explore and obtain mutual feedback on their research, future work plans, and career objectives with senior CBR researchers, practitioners, and peers.Topics in recent CBR research included in the presentations and discussions at ICCBR 2016 included novel approaches to similarity and retrieval; advances in adaptation strategies; case generation; representation and knowledge discovery; CBR as a cognitive approach to big data; AI with large-scale memories; cognitive aspects of CBR; maintenance of big case bases; domain independent techniques and tools; hybrid approaches; explanation, transparency, and trust of reasoning results; and successful applications in a wide variety of domains.
Report on the 24th International Conference on Case-Based Reasoning Research and Development
