Supply chains are a central element of today’s global economy. Existing management practices consist primarily of static interactions between established partners. Global compet...
Michael Benisch, Alberto Sardinha, James Andrews, ...
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
In this paper a method for controlling the dialog in a natural language (NL) system is presented. It provides a deep modeling of information processing based on time dependent pro...
This article reports on the current state of our efforts to shed light on the origin and evolution of linguistic diversity using synthetic modeling and arti cial life es. We constr...
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...