An extendable and generic Agent Enriched Data Mining (AEDM) framework, EMADS (the Extendable Multi-Agent Data mining System) is described. The central feature of the framework is ...
Abstract. One of the main challenges for the successful application of agentbased systems in mobile and embedded devices is enabling application developers to reconcile the needs o...
The paper describes the architecture of Brown University’s agent, Botticelli, a finalist in the 2003 Trading Agent Competition in Supply Chain Management (TAC SCM). In TAC SCM,...
Michael Benisch, Amy R. Greenwald, Ioanna Grypari,...
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
Abstract. In [1, 8] we proposed a complete design of a workflow management system using mobile agents. The proposed solution was highly distributed and almost without centralized ...
Zoran Budimac, Mirjana Ivanovic, Aleksandar Popovi...