XCS with computed prediction, namely XCSF, extends XCS by replacing the classifier prediction with a parametrized prediction function. Although several types of prediction functions have been introduced, so far XCSF models are still limited to evolving classifiers with the same prediction function. In this paper, we introduce XCSF with heterogeneous predictors, XCSFHP, which allows the evolutio...

This thesis introduces a methodological approach to artificial agent design. In an attempt to solve the symbol grounding problem of artificial intelligence, a new theoretical perspective on the agent-environment relation is explored and experimentation is led to motivate this methodology. From the original idea that in order to ground an agent in an environment, the agent’s representation mecha...

Within Michigan-style Learning Classifier Systems based upon Holland's model (Holland et al 1986) support for learning in delayed-reward multiplestep environments was through the co-operation of classifiers within rulechains. Despite the successful use of this LCS model in direct-reward environments (Wilson, 1985, 1987; Parodi and Bonelli, 1990; Holmes, 1997; Dorigo and Colombetti, 1994), the a...

Two-photon excitation fluorescence cross-correlation spectroscopy (TPE-XCS) is a very suitable method for studying interactions of two distinctly labeled fluorescent molecules. As such, it lends itself nicely to the study of ligand-receptor interactions. By labeling the ligand with one color of fluorescent dye and the receptor with another, it is possible to directly monitor ligand binding rath...

This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the evolutionary computing and reinforcement learning techniques inherent to such systems. The purpose of the work is to develop an approach to learning rules which accurately describe clusters without prior assumptions as to their number within a given...

BACKGROUND Xanthomonas is a large genus of plant-associated and plant-pathogenic bacteria. Collectively, members cause diseases on over 392 plant species. Individually, they exhibit marked host- and tissue-specificity. The determinants of this specificity are unknown. METHODOLOGY/PRINCIPAL FINDINGS To assess potential contributions to host- and tissue-specificity, pathogenesis-associated gene...