This paper discusses the problem of learning language from unprocessed text and speech signals, concentrating on the problem of learning a lexicon. In particular, it argues for a ...
Among the most important challenges for contemporary AI research are the development of methods for improved robustness, adaptability, and overall interactiveness of systems. Inter...
A major research challenge in multi-agent systems is the problem of partitioning a set of agents into mutually disjoint coalitions, such that the overall performance of the system...
Tomasz P. Michalak, Jacek Sroka, Talal Rahwan, Mic...
Recent work in neuroscience suggests that there is a common coding in the brain between perception, imagination and execution of movement. Further, this common coding is considere...
Ali Mazalek, Michael Nitsche, Sanjay Chandrasekhar...
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...