In this paper, we propose a stochastic simulation to model and analyze cellular signal transduction. The high number of objects in a simulation requires advanced visualization tec...
Martin Falk, Michael Klann, Matthias Reuss, Thomas...
Agent-based simulations are an increasingly popular means of exploring and understanding complex social systems. In order to be useful, these simulations must capture a range of a...
David Scerri, Alexis Drogoul, Sarah L. Hickmott, L...
Abstract: In this paper we present our ideas to apply constraint satisfaction on business processes. We propose a multi-level constraint satisfaction approach to handle t levels of...
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Energy efficiency is becoming increasingly important in the operation of networking infrastructure, especially in enterprise and data center networks. While strategies for lowerin...