Our paper "Two-Agent Case-Based Reasoning for Prediction" got accepted for presentation at the International Conference on Case-Based Reasoning (ICCBR).
The paper investigates a scenario where two agents perform a prediction task together, with one agent retrieving similar cases from a case base and the other agent adapting these cases for the particular purpose. The main claim of the paper is that the retrieval is feasible if the retrieval agent has a mental model of the adaptation agent. This research has several applications, in particular in explainability.
