This article builds on insights into how humans cope with emotion to guide the design of virtual humans. Although coping is increasingly viewed in the psychological literature as ...
In this paper, we examine the behavior of bidding agents that are in direct competition with the other participants in an auction setting. Thus the agents are not simply trying to...
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
Providing agents with strategies that will be robust against deviations by coalitions is central to the design of multi-agent agents. However, such strategies, captured by the not...
In this paper we present the internal architecture and bidding mechanisms designed for Mertacor, a successful trading agent, which ended up first in the Classic Trading Agent Comp...
Panos Toulis, Dionisis Kehagias, Pericles A. Mitka...