Abstract. A framework for cooperative goal-satisfaction in large-scale MultiAgent Systems (MAS) is presented in this paper. This is performed by demonstrating the applicability of ...
Most research about multi-agent coordination is concentrated at a high level, e.g., developing coordination interaction protocols to be imposed on agents. There has been less conc...
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
We consider the problem of dialogue adaptation in our Smart Personal Assistant (SPA), which uses a plan-based dialogue model. We present a novel way of integrating learning into a...
Abstract. In this paper an agent-based segmentation approach is presented and discussed. The approach consists in the utilization of autonomous agents for the segmentation of a ran...