Towards Modeling Other Agents: A Simulation-Based Study

In this paper, we present some of our ongoing experimental research towards investigating advantages of modeling other agents in multiagent environments. We attempt to quantify the value or utility of building models about other agents using no more than the observation of others' behavior. We are interested in empirically showing that a modeler agent can take advantage of building and updating its beliefs about other agents. This advantage can make it perform better than an agent without modeling capabilities. We have been conducting a simulataionbased study using a competitive game called Meeting Scheduling Game as a testbed. First, we brie y describe our multiagent simultaion testbed. Then, we describe in detail our experimental study. We explore a range of strategies from least- to most-informed, and present some of our preliminary results on the relative performance of these strategies. Decreasing the a priori knowledge about the others and increasing the modeling capabilitie...

• Type: Conference
• Year: 1998
• Where: MABS
• Authors: Leonardo Garrido-Luna, Ramón F. Brena, Katia P. Sycara
• Keywords: Game Called Meeting, Intelligent Agents, MABS 1998, Modeling Capabilities, Multiagent Environments