In this paper we describe a distributed retrieval system for medical images based on a Human Centered Virtual Machine (HCVM). HCVM layered architecture allows indexing and retrieva...
R. Castelletti, Ernesto Damiani, Giovanni Righini,...
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...
Distributed Constraint Optimization (DCOP) provides a rich framework for modeling multi-agent coordination problems. Existing problem domains for DCOP focus on small (<100 vari...
In this paper we introduce a group-messaging interface that allows humans to efficiently interact with a group of agents through a hierarchical and customizable text protocol. Our...
Marco M. Carvalho, Matteo Rebeschini, James Horsle...
Decentralized POMDPs provide an expressive framework for sequential multi-agent decision making. Despite their high complexity, there has been significant progress in scaling up e...