Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
ive. This characterization leads to model-based abstractions and representation design techniques as potential solutions. Many of the existing approaches to coping with data overlo...
David D. Woods, Emily S. Patterson, Emilie M. Roth
The allocation of m resources between n agents is an AI problem with a great practical interest for automated trading. The general question is how to configure the behavior of barg...
Antoine Nongaillard, Philippe Mathieu, Patricia Ev...
In this paper we present a formalisation of motivational attitudes, the attitudes that are the driving forces behind the actions of agents. We consider the statics of these attitu...
Bernd van Linder, Wiebe van der Hoek, John-Jules C...
Abstract. Virtual humans are employed in many interactive applications, including (serious) games. Their motion should be natural and allow interaction with its surroundings and ot...