This paper presents arguments for the application of a multiagent approach to spatial reasoning, and it is shown how spatial reasoning benefits from an agent-based implementation....
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
Hierarchies are one of the most common organizational structures observed in multi-agent systems. In this paper we study vertical specialization as a reason for hierarchical struc...
Networks of sensors and simulation models of the physical environment have been implemented separately, often using agent-based methodologies. Some work has been done in providing...
This paper details the implementation of a software framework that aids the development of distributed and self-configurable software systems. This framework is an instance of a n...
David Lillis, Rem W. Collier, Mauro Dragone, Grego...