In this paper, we argue that syntactic analysis is most likely to improve retrieval accuracy in textual case-based reasoning when the task of the system is well-defined and the re...
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
This paper presents a model constructed for the evaluation of the interaction of the atmosphere and the ocean. The work here presented focuses in the development of an agent based ...
Tutoring systems have been a popular domain for CBR since its very beginning. In this paper we draw a connection between casebased teaching and learning-by-doing approach to tutori...
TIELT is a software testbed that facilitates the integration and testing of learning-embedded decision systems on user-selected tasks from virtual gaming simulators. A key componen...