My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Natural languages are easy to learn by infants, they can express any thought that any adult might ever conceive, and they accommodate the limitations of human breathing rates and s...
This paper explores connections between Radical Empiricism (RE), a philosophic attitude developed by William James at the beginning of the 20th century, and Empirical Modelling (E...
Understanding self-replication from an information processing perspective is important because, amongother things, it can shed light on molecular mechanismsof biological reproduct...
James A. Reggia, Hui-Hsien Chou, Steven L. Armentr...
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...