Optimal resource scheduling in multiagent systems is a computationally challenging task, particularly when the values of resources are not additive. We consider the combinatorial ...
Dmitri A. Dolgov, Michael R. James, Michael E. Sam...
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
Real-time computations in multi-agent systems have been studied from different perspectives of reasoning, message passing, resource management and negotiations. Separate treatment...
This paper proposed a new approach that integrated an artificial market simulation and text-mining with real information. In this approach, economic trends were extracted from te...
The past few years have seen an explosive growth in scientific and regulatory documents related to the patent system. Relevant information is siloed into many heterogeneous and di...
Siddharth Taduri, Gloria T. Lau, Kincho H. Law, Ha...