—To estimate the convolutional encoder state from received data, one may use the inverse to the encoder G. However, channel errors make this method unreliable. We propose a metho...
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex distributed scientific computations and data analysis, and have enabled and acce...
The paper focuses on a difficult problem when formalizing knowledge: What about the possible concepts that didn’t make it into the formalization? We call such concepts the uncons...
Abstract. This paper describes affective and psychophysiological foundations used to help to control affective content in music production. Our work includes the proposal of a know...