In this paper, we propose a framework for modelling agent organizations, Omni, that allows the balance of global organizational requirements with the autonomy of individual agents....
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Hybrid systems are models for complex physical systems and are defined as dynamical systems with interacting discrete transitions and continuous evolutions along differential equat...
Abstract. This paper reviews recent developments in our project that are focused on dynamic data-driven methods for efficient and reliable simulation based optimization, which may...
Abstract. This paper shows how multiagent systems can be modeled by a combination of UML statecharts and hybrid automata. This allows formal system cation on different levels of ab...
Ulrich Furbach, Jan Murray, Falk Schmidsberger, Fr...