We show the first detailed realistic e-business application scenario that uses and exploits capabilities of the SweetRules V2.1 toolset for e-contracting using the SweetDeal approa...
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
In this paper, we propose a middleware library for efficiently developing distributed cooperative applications consisting of a large number of cellular phones with Java executors....
Hierarchies are powerful tools for decomposing complex control tasks into manageable subtasks. Several hierarchical approaches have been proposed for creating agents that can exec...
A fundamental task in multi-agent systems is matchmaking, which is to retrieve and classify service descriptions of agents that (best) match a given service request. Several approa...