Networks of sensors and simulation models of the physical environment have been implemented separately, often using agent-based methodologies. Some work has been done in providing...
We present an experimental comparison of different genetic operators regarding their use in an evolutionary learning method that searches for unwanted emergent behavior in a multi...
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
This paper describes requirements for synthetic adversaries for urban combat training and MOUTBots, a prototype application. The MOUTBots use a commercial computer game to define,...
Robert E. Wray, John E. Laird, Andrew Nuxoll, Devv...
Traffic control can be regarded as a multiagent application in which car-agents and traffic-light-agents need to coordinate with each other to optimize the traffic flow and to avoi...