: To a large degree information has become accessible – anytime, anywhere – but not necessarily useful. Unless the right information is presented at the right time, in the righ...
: We present a way to mix the lower control of agents with the high level specifications of their goals. This paper addresses various topics required to animate virtual humans in a...
We introduce a model of mutually attracting agents in an arbitrary network, for which the long term behavior results in the emergence of several clusters. The cluster structure is ...
In this paper, we present discrete-time, nonspatial, macroscopic models able to capture the dynamics of collective aggregation experiments using groups of embodied agents endowed ...
William Agassounon, Alcherio Martinoli, Kjerstin E...
In this paper, a model is proposed for multi-agent probabilistic reasoning in a distributed environment. Unlike other methods, this model is capable of processing input in a truly...