Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
We consider a multiagent resource allocation domain where the marginal production of each resource is diminishing. A set of identical, self-interested agents requires access to sh...
The Virtual Test Bed (VTB) is a prototype of a virtual engineering environment to study operations of current and future space vehicles, spaceports, and ranges. The HighLevel Arch...
Embedded Systems are components integrating software and hardware jointly and specifically designed to provide given functionalities. These components may be used in many different...
This paper describes the implementation and evaluation of a framework for modeling emotions in complex, decision-making agents. Sponsored by U.S. Army Research Institute (ARI), th...