: This paper investigates the feasibility of employing the Software Agent technology in the highly dynamic and variable context of healthcare emergency coordination and decision-su...
Francesco De Mola, Giacomo Cabri, Nicola Muratori,...
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
A quantitative study has shown that frame technology [1] supported by Fusion toolset can lead to reduction in time-tomarket (70%) and project costs (84%). Frame technology has bee...
Tak Wong, Stan Jarzabek, Soe Myat Swe, Ru Shen, Ho...
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
A variational approach to image or video segmentation consists in defining an energy depending on local or global image characteristics, the minimum of which being reached for ob...
Eric Debreuve, Muriel Gastaud, Michel Barlaud, Gil...