In most contexts, learning is essential for the long-term autonomy of an agent. We describes here some essential and fundamental learning mechanisms implemented in a cognitive auto...
Usef Faghihi, Daniel Dubois, Mohamed Gaha, Roger N...
In this paper, we present analog VLSI implementation of a resonate-and-fire neuron (RFN) model, and then consider noise effects on its performance of signal detection. The RFN ci...
Kazuki Nakada, Jun Igarashi, A. Tetsuya, Hatsuo Ha...
We present a system (ASP − PROLOG) which provides a tight and well-defined integration of Prolog and Answer Set Programming (ASP). The combined system enhances the expressive po...
This paper discusses the dynamic of context through the use of a context-based formalism called contextual graphs that has been initially developed in the SART application for the ...
—Associated with the ever growing integration scales is the increase in process variability. In the context of networkon-chip, this variability affects the maximum frequency that...