Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
Traditional information retrieval (IR) systems respond to user queries with ranked lists of relevant documents. The separation of content and structure in XML documents allows indi...
Internet facilitates easy access to data, information, and knowledge sources available online. This provides an unprecedented opportunity to empower decision support systems with ...
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
In this paper, we describe an empirical evaluation of an adaptive mixed initiative spoken dialogue system. We conducted two sets of experiments to evaluate the mixed initiative an...