Seminal Contributions to Modelling and Simulation

1. ECMS: Its Position in the European Simulation History
Eugene J. H. Kerckhoffs

2. Brain Maps for Space
May-Britt Moser

3. Coordinated Learning of Entorhinal Grid Cells and Hippocampal Place Cells: Space, Time, Attention and Oscillations
Stephen Grossberg

4. Adaptive Model Theory: Modelling the Modeller
Peter D. Neilson, Megan D. Neilson

5. Multi-formalism Modelling of Human Organization
Alexander H. Levis

6. A New Research Architecture for the Simulation Era
Martin Ihrig

7. A Ship Motion Short-Term Time Domain Simulator and Its Application to Costa Concordia Emergency Manoeuvres Just Before the January 2012 Accident
Paolo Neri, Mario Piccinelli, Paolo Gubian, Bruno Neri

8. Fuzzy Modelling and Fuzzy Collaborative Modelling: A Perspective of Granular Computing
Witold Pedrycz

9. Control Law and Pseudo Neural Networks Synthesized by Evolutionary Symbolic Regression Technique
Zuzana Kominkova Oplatkova, Roman Senkerik

10. On Practical Automated Engineering Design
Lars Nolle, Ralph Krause, Richard J. Cant

11. Flow-Level Packet Loss Analysis of a Markovian Bottleneck Buffer
Dieter Fiems, Stijn Vuyst, Herwig Bruneel

12. Fitting Methods Based on Distance Measures of Marked Markov Arrival Processes
Gábor Horváth, Miklós Telek

13. Markovian Agent Models: A Dynamic Population of Interdependent Markovian Agents
Andrea Bobbio, Davide Cerotti, Marco Gribaudo, Mauro Iacono, Daniele Manini

Nyckelord: Computer Science, Simulation and Modeling, Performance and Reliability, Probability and Statistics in Computer Science, Models and Principles