Seminal Contributions to Modelling and Simulation

30 Years of the European Council of Modelling and Simulation

Häftad, Engelska, 2018

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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.

Produktinformation

Utgivningsdatum2018-06-07
Mått155 x 235 x 13 mm
Vikt347 g
FormatHäftad
SpråkEngelska
SerieSimulation Foundations, Methods and Applications
Antal sidor206
FörlagSpringer International Publishing AG
ISBN9783319816029

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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.

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.