000 04631nam a22005295i 4500
001 978-3-319-33786-9
003 DE-He213
005 20200421111837.0
007 cr nn 008mamaa
008 160705s2016 gw | s |||| 0|eng d
020 _a9783319337869
_9978-3-319-33786-9
024 7 _a10.1007/978-3-319-33786-9
_2doi
050 4 _aQA76.9.C65
072 7 _aUGK
_2bicssc
072 7 _aCOM072000
_2bisacsh
082 0 4 _a003.3
_223
245 1 0 _aSeminal Contributions to Modelling and Simulation
_h[electronic resource] :
_b30 Years of the European Council of Modelling and Simulation /
_cedited by Khalid Al-Begain, Andrzej Bargiela.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXV, 206 p. 84 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSimulation Foundations, Methods and Applications,
_x2195-2817
505 0 _aThe 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.
520 _aMarking 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 social sciences, 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.
650 0 _aComputer science.
650 0 _aComputer software
_xReusability.
650 0 _aMathematical statistics.
650 0 _aComputers.
650 0 _aComputer simulation.
650 1 4 _aComputer Science.
650 2 4 _aSimulation and Modeling.
650 2 4 _aPerformance and Reliability.
650 2 4 _aProbability and Statistics in Computer Science.
650 2 4 _aModels and Principles.
700 1 _aAl-Begain, Khalid.
_eeditor.
700 1 _aBargiela, Andrzej.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319337852
830 0 _aSimulation Foundations, Methods and Applications,
_x2195-2817
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-33786-9
912 _aZDB-2-SCS
942 _cEBK
999 _c55330
_d55330