Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Abstract. Ontology matching has become an important field of research over the last years. Although many different approaches have been proposed, only few of them are committed t...
Abstract. ZARAMIT is an information system capable of fully automated phylogeny reconstruction. Methods have been tailored to mitochondrial DNA sequences, with focus on subproblem ...
Abstract—Federated systems have recently attracted much attention because they allow loosely coupled organizations to share resources for common benefits. However, discovering r...
Abstract. A mobile robot that interacts with its environment needs a machineunderstandable representation of objects and their usages. We present an ontology of objects, with gener...
Eric Wang, Yong Se Kim, Hak Soo Kim, Jin Hyun Son,...