Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of ...
Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, S...
This paper presents a method to choose the threshold for dichotomization of survival outcomes in a structured fashion based on data analysis. The method is illustrated with an appl...
Marion Verduijn, Niels Peek, Frans Voorbraak, Ever...
Possibilistic Stable model Semantics is an extension of Stable Model Semantics that allows to merge uncertain and non monotonic reasoning into a unique framework. To achieve this a...
We present TECTLK, a logic to specify knowledge and real time in multi-agent systems. We show that the model checking problem is decidable, and we present an algorithm for TECTLK ...
A new, formal, role-based, framework for modeling and analyzing both real world and artificial organizations is introduced. It exploits static and dynamic properties of the organiz...
Egon L. van den Broek, Catholijn M. Jonker, Alexei...