This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
Humans can easily recognize complex objects even if values of their attributes are imprecise and often inconsistent. It is not clear how the brain processes uncertain visual inform...
In this paper we take advantage of the concepts developed for centralized module management, such as dynamic loading and unloading of modules, and show how they can be used to supp...
Jan S. Rellermeyer, Gustavo Alonso, Timothy Roscoe
This paper is about a novel rule-based approach for reasoning about qualitative spatiotemporal relations among technology-rich autonomous objects, to which we refer to as artifact...
We propose a framework to construct web-oriented user interfaces in a high-level way by exploiting declarative programming techniques. Such user interfaces are intended to manipul...