We present a computational study of an auction-based method for decentralized train scheduling. The method is well suited to the natural information and control structure of moder...
In this paper, we propose a facilitator that finds capable and trustworthy partners on behalf of client users, which helps users form and maintain e-partnerships for electronic co...
Chihiro Ono, Boyd C. Paulson Jr., Dai Kanetomo, Ma...
Multi-Agent Systems are a promising way of dealing with large complex problems. However, it is not yet clear just how much complexity or pre-existing structure individual agents m...
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
In this paper we will discuss different types of control over synthetic characters in interactive stories. We will argue that, to attain a deeper and more engaging control, in ce...
This paper describes an agent-based artificial market system whose underlying interaction protocols provide advanced features. Using the system, actors (i.e., customers and mercha...
Recent years are seeing an increasing need for on-line monitoring of deployed distributed teams of cooperating agents, e.g., for visualization, or performance tracking. However, i...