This paper describes a collaborative multiagent modeling and simulation approach for designing work systems. The Brahms environment is used to model mission operations for a semi-...
Maarten Sierhuis, William J. Clancey, Michael H. S...
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
Task decomposition in a multi-agent environment is often performed online. This paper proposes a method for subtask allocation that can be performed before the agents are deployed...
Kaivan Kamali, Dan Ventura, Amulya Garga, Soundar ...
Active learning is an e ective learning approach. In this paper, we present an intelligent agent assisted environment for active learning. The system is to better support studentc...
In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...