This paper proposed an approach of human behavior modeling based on Discriminative Random Fields. In this model, by introducing the hidden behavior feature functions and time wind...
A two stage approach to co-ordination in a multi-agent society is presented. The first stage involves agents learning to co-ordinate their activities based on local and global uti...
: We report on a new kind of culturally-authentic embodied conversational agent more in line with the ways that culture and ethnicity function in the real world. On the basis of th...
The paper describes a simulation substrate that allows thinking agents to interact with a world. The world is simulated by standard discrete event simulation, but the timing of an...
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...