Skip to main content Skip to main navigation

Publication

Case-Based Reasoning -- Introduction and Recent Developments

Ralph Bergmann; Klaus-Dieter Althoff; Mirjam Minor; Meike Reichle; Kerstin Bach
In: Ralph Bergmann; Klaus-Dieter Althoff (Hrsg.). KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. "Case-Based Reasoning", No. 1, Pages 5-11, Böttcher IT, Bremen, 1/2009.

Abstract

Case-based reasoning (CBR) is a sub-field of Artificial Intelligence that deals with experience-based problem solving. CBR has its roots in different disciplines such as cognitive science, machine learning, and knowledge-based systems. Today, it is a well established research field of its own, which produced a rich variety of specific methods, as well as applications implementing those methods for particular tasks and domains. This paper gives a compact overview of CBR in general and further discusses recent advancements in selected topics.