Seminal Contributions to Modelling and Simulation

Marking the 30th anniversary of the European Conference on Modelling and Simulation (ECMS), this inspirational text/reference reviews significant advances in the field of modelling and simulation, as well as key applications of simulation in other disciplines. The broad-ranging volume presents contributions from a varied selection of distinguished experts chosen from high-impact keynote speakers and best paper winners from the conference, including a Nobel Prize recipient, and the first president of the European Council for Modelling and Simulation (also abbreviated to ECMS).

Topics and features:

• Includes a review of the history of the ECMS council and conference
• Presents a highlight on research into the modelling of the human brain
• Describes the modelling of organizations for the analysis of their behaviour, and examines developments in fuzzy granular modelling
• Proposes a research architecture for simulation in the socialsciences, and suggests an evolutionary symbolic regression technique for classification and system control
• Discusses a methodology for the prediction of cruise ship manoeuvring behaviour, which was applied in the investigation into the Costa Concordia shipwreck
• Provides a meta-method that guides optimisation algorithms towards solutions that are more robust against variations caused by the manufacturing process

• Covers such topics in stochastic modelling as the packet loss problem, fitting methods based on Markov modulated point processes, and Markovian agent models
  This authoritative book will be of great value to all researchers working in the field of modelling and simulation, in addition to scientists from other disciplines who make use of modelling and simulation approaches in their work.

Autorentext
Prof. Khalid Al-Begain is a Professor of Mobile Computing and Networking at the University of South Wales, UK, where he serves as Director of the Integrated Communications Research Centre (ICRC). He is also President of the European Council for Modelling and Simulation, and President of Kuwait College of Science and Technology. Prof. Andrzej Bargiela is a Professor of Computer Science at the University of Nottingham, UK, and a founding Director and CEO of INFOHUB Ltd.

Zusammenfassung

Marking the 30th anniversary of the European Conference on Modelling and Simulation (ECMS), this inspirational text/reference reviews significant advances in the field of modelling and simulation, as well as key applications of simulation in other disciplines. The broad-ranging volume presents contributions from a varied selection of distinguished experts chosen from high-impact keynote speakers and best paper winners from the conference, including a Nobel Prize recipient, and the first president of the European Council for Modelling and Simulation (also abbreviated to ECMS). This authoritative book will be of great value to all researchers working in the field of modelling and simulation, in addition to scientists from other disciplines who make use of modelling and simulation approaches in their work.

Inhalt

The ECMS and its Position in European Simulation History: A Personal Impression.- Brain Maps for Space.- Coordinated Learning of Entorhinal Grid Cells and Hippocampal Place Cells: Space, Time, Attention, and Oscillations.- Adaptive Model Theory: Modelling the Modeller.- Multi-Formalism Modelling of Human Organization.- A New Research Architecture for the Simulation Era.- A Ship Motion Short Term Time Domain Simulator and its Application to Costa Concordia Emergency Manoeuvres Just Before the January 2012 Accident.- Fuzzy Modelling and Fuzzy Collaborative Modelling: A Perspective of Granular Computing.- Control Law and Pseudo-Neural Networks Synthesized by Evolutionary Symbolic Regression Technique.- On Practical Automated Engineering Design.- Flow-Level Packet Loss Analysis of a Markovian Bottleneck Buffer.- Fitting Methods Based on Distance Measures of Marked Markov Arrival Processes.- Markovian Agent Models: A Dynamic Population of Interdependent Markovian Agents.