Cooperation among autonomous agents involves an inherent degree of uncertainty. Agents determine for themselves when to initiate cooperation or to assist others, when to rescind c...
Making it easier to design interactions between agents and humans is essential for realizing multi-agent simulations of social phenomena such as group dynamics. To realize large-s...
An important application of both data abstraction and plan execution is the execution of clinical guidelines and protocols (CGP), both to validate them against a large set of test ...
Peter Votruba, Andreas Seyfang, Michael Paesold, S...
Recognizing team actions in the behavior of embodied agents has many practical applications and had seen significant progress in recent years. One approach with proven results is ...
In this paper, we present a new trajectory planning algorithm for virtual humans. Our approach focuses on implicit cooperation between multiple virtual agents in order to share th...