In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
We describe the integration of content based techniques for navigation of musical information (primarily in MIDI representation) into a multiagent system for distributed informati...
David De Roure, Samhaa R. El-Beltagy, Steven Black...
We discuss design issues related to the transformation of a mature Agent-Based Model (ABM) for computational epidemiology into a “grid-aware” version. EpiSims is a distributed...
This paper considers the average consensus problem on a network of digital links, and proposes algorithms based on pairwise "gossip" communications and updates. Through ...
Ruggero Carli, Fabio Fagnani, Paolo Frasca, Sandro...
: This paper presents the overall design of a multi-agent framework for improving the performance of an application executing in a distributed environment. The multi-agent framewor...