Conversational case-based reasoning (CCBR) was the first widespread commercially
successful form of case-based reasoning. Historically, commercial CCBR tools conducted …

In traditional production plants, current technologies do not provide sufficient context to
support information integration and interpretation. Digital transformation technologies have …

Conversational case-based reasoning (CCBR) systems retrieve past cases that are similar
to a current problem by eliciting situation descriptions in interactive dialogues with their …

This paper describes SiN, a novel case-based planning algorithm that combines
conversational case retrieval with generative planning. SiN is provably correct, and can …

A considerable amount of research in case-based reasoning (CBR) has recently focused on
conversational CBR as a means of providing more effective support for interactive problem …

Objectives Balancing the trade-offs between solution quality, problem-solving efficiency, and
transparency is an important challenge in medical applications of conversational case …

A fundamental problem for case-based reasoning systems is how to select relevant prior
cases. Numerous strategies have been developed for determining the similarity of prior …

This paper presents a taxonomy of recommender systems with the goal of assisting in
selection and application of these systems. Recommendation methods are usually classified …

Abstract Conversational Case-Based Reasoning (CCBR) systems engage a user in a series
of questions and answers to retrieve cases that solve his/her current problem. Help-desk …

This paper describes HICAP, a general-purpose, interactive case-based plan authoring
architecture that can be applied to decision support tasks to yield a hierarchical course of …