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 ...
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...
In this paper, we present a Web-based framework for interactive deictic and sign language virtual agents. Our framework is a DOM-Integrated Virtual Agents architecture, which has b...
In this paper we introduce the notion of character's values to mediate between agents and story direction in storytelling systems. By relating characters' goals with the...
The ability to proactively offer assistance promises to make personal agents more helpful to their users. We characterize the properties desired of proactive behaviour by a person...
Neil Yorke-Smith, Shahin Saadati, Karen L. Myers, ...