It is shown that under certain conditions it is possible to model a complex system in a way that leads to results that do not depend on system size. As an example of complex system an innovation diffusion model is considered. In that model a set of individuals (the agents), which are interconnected, must decide if adopt or not an innovation. The agents are connected in a member of the networks ...

An ageing population is now the leading healthcare concern of many countries in the world. Aged patients need more healthcare efforts as they present more cases of chronic illnesses involving higher healthcare costs. e-Health systems based on modern information technology are expected to play a role in alleviating this problem. Fortunately, there have been dramatic advances in healthcare techno...

Collaboration for distributed groups can be supported by intelligent agents in charge of several functionalities, partly addressed by Computer Supported Co-operative Work (CSCW) and Knowledge Management Systems. Collaboratories are special type of systems covering the needs of research communities. We describe here an agent-based architecture and a real collaboratory implementation that is a na...

In this paper I present a decoupled architectural approach that allow s software agents to inter -operate with enterprise systems using Web services. The solution leverages existing technologies and standards in order to reduce the timeto-market and increase the adoption of agent-based applications. I present case studies of applications that have been enhanced by our proposal. Keywords— Softwa...

A generic predator/prey pursuit scenario is used to validate a common learning approach using Wilson’s eXtended Learning Classifier System (XCS). The predators, having only local information, should independently learn and act while at the same time they are urged to collaborate and to capture the prey. Since learning from scratch is often a time consuming process, the common learning approach,...

Scientists and intelligence analysts are interested in quickly discovering new results from the vast amount of available geospatial data. The key issues that arise in this pursuit are how to cope with new and changing information and how to manage the steadily increasing amount of available data. This paper describes a novel agent architecture that has been developed and tested to address these...