One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
Models and concepts from biology have informed the study of language change for several centuries. In this article, I take a comparative look across the disciplines of historical ...
The vulnerability of smart grid systems is a growing concern. Signal detection theory is employed here to detect a change in the system. We employ a discrete-time linear state spa...
We represent agents as sets of strings. Each string encodes a potential interaction with another agent or environment. We represent the total set of dynamics between two agents as ...
This paper initiates a framework for improving product development processes. The starting point is the present gap between the theory of product and process models and their actu...