The existence and utilization of an internal representation of the controlled object is one of the most important features of the functioning of neural motor control systems. This ...
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
We generalize AGM belief revision theory to the multi-agent case. To do so, we first generalize the semantics of the singleagent case, based on the notion of interpretation, to th...
In this paper, we present ISO-TimeML, a revised and interoperable version of the temporal markup language, TimeML. We describe the changes and enrichments made, while framing the ...
James Pustejovsky, Kiyong Lee, Harry Bunt, Laurent...