In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
We propose SEASALT, an architecture based on the CoMES approach on developing collaborative multi-expert-systems using case-based reasoning and software agents technology. SEASALT...
Current developments on Service-oriented Architectures, Peer-to-Peer and Grid computing promise more open and flexible architectures for digital libraries. They will open DL techno...
Reconfigurable devices, such as FPGAs, introduce into the design workflow of embedded systems a new degree of freedom: the designer can have the system autonomously modify the fun...
Carlo Amicucci, Fabrizio Ferrandi, Marco D. Santam...
The Multiagent Planning Architecture (MPA) is a framework for integrating diverse technologies into a system capable of solving complex planning problems. Agents within MPA share ...