We present a decentralized, asynchronous market protocol for allocating and scheduling tasks among agents that contend for scarce resources, constrained by a hierarchical task dep...
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Modular component-based robot systems require not only an infrastructure for component management, but also scalability as well as real-time properties. Robot Technology (RT)-Midd...
Internet should be used to reduce distances and bring people virtually closer. Using ICT, many people has overcome the problem of digital divided [1] thanks to support of informat...
Flavio Corradini, Alberto Polzonetti, Romeo Pruno,...
In many two-sided search applications, autonomous agents can enjoy the advantage of parallel search, powered by their ability to handle an enormous amount of information, in a shor...