In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Future high-end computers will offer great performance improvements over today’s machines, enabling applications of far greater complexity. However, designers must solve the cha...
Guang R. Gao, Kevin B. Theobald, Ziang Hu, Haiping...
Abstract. Interactive programs allow users to engage in input and output throughout execution. The ubiquity of such programs motivates the development of models for reasoning about...
Kevin R. O'Neill, Michael R. Clarkson, Stephen Cho...
In recent years, e-government interoperability frameworks (e-GIFs) and enterprise architectures (EAs) have been extensively developed as mechanism tools for achieving the interope...