We are designing a computational architecture for a "learning economy" based on personal software agents who represent users in a virtual society and assist them in find...
In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a loca...
Abstract The increasingly complex and dynamic nature of contemporary markets demands that a business engages in an ongoing dialogue with all aspects of its environment, including o...
In the last few years, argumentation frameworks have been successfully applied to multi agent systems. Recently, argumentation has been used to provide a framework for reasoning a...
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...