We describe a general mechanism for adaptation in multiagent systems in which agents modify their behavior based on their memory of past events. These behavior changes can be elic...
In this paper we present an agent language that combines agent functionality with an action theory and model-theoretic semantics. The language is based on abductive logic programmi...
This paper addresses the problem of activity recognition for physically-embodied agent teams. We define team activity recognition as the process of identifying team behaviors from...
– Existing team training software often requires that trainees be organized as physical teams and the members of the same team be trained at the same time. To demonstrate that te...
Dianxiang Xu, Michael S. Miller, Richard A. Volz, ...
In this paper we present analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding socie...