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007			cr mn|||||||||
008			161129t20172017flu ob 001 0 eng d
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016	7		_a018491271 _2Uk
019			_a993968272 _a1002820797 _a1003268005 _a1066684820
020			_a9781315353586 _q(electronic bk.)
020			_a131535358X _q(electronic bk.)
020			_a9781315370729
020			_a1315370727
020			_a9781498723879
020			_a149872387X
020			_a9781315334523
020			_a1315334526
020			_a9781498723855 _q(electronic bk.)
020			_a1498723853 _q(electronic bk.)
035			_a1585072 _b(N$T)
035			_a(OCoLC)972615861 _z(OCoLC)993968272 _z(OCoLC)1002820797 _z(OCoLC)1003268005 _z(OCoLC)1066684820
037			_a9781315353586 _bIngram Content Group
037			_a102708 _bKnowledge Unlatched
072		7	_aCOM _x072000 _2bisacsh
072		7	_aUYM _2bicssc
082	0	4	_a005.4/3 _223
049			_aMAIN
100	1		_aKiran, M. _q(Mariam), _eauthor. _914896
245	1	0	_aX-machines for agent-based modeling : _bFLAME perspectives / _cMariam Kiran.
264		1	_aBoca Raton : _bTaylor and Francis, CRC Press, _c[2017]
264		4	_c©2017
300			_a1 online resource (xxvii, 299 pages).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aChapman & Hall/CRC computer and information science series
520			_a"From the Foreword:"This book exemplifies one of the most successful approaches to modeling and simulating [the] new generation of complex systems. FLAME was designed to make the building of large scale complex systems models straightforward and the simulation code that it generates is highly efficient and can be run on any modern technology. FLAME was the first such platform that ran efficiently on high performance parallel computers and a version for GPU technology is also available. At its heart, and the reason why it is so efficient and robust, is the use of a powerful computational model--Communicating X-machines--which is general enough to cope with most types of modelling problems. As well as being increasingly important in academic research, FLAME is now being applied in industry in many different application areas. This book describes the basics of FLAME and is illustrated with numerous examples."--Professor Mike Holcombe, University of Sheffield, UKAgent-based models have shown applications in various fields such as biology, economics, and social science. Over the years, multiple agent-based modeling frameworks have been produced, allowing experts with non-computing background to easily write and simulate their models. However, most of these models are limited by the capability of the framework, the time it takes for a simulation to finish, or how to handle the massive amounts of data produced. FLAME (Flexible Large-scale Agent-based Modeling Environment) was produced and developed through the years to address these issues. This book contains a comprehensive summary of the field, covers the basics of FLAME, and shows how concepts of X-machines, can be stretched across multiple fields to produce agent models. It has been written with several audiences in mind. First, it is organized as a collection of models, with detailed descriptions of how models can be designed, especially for beginners. A number of theoretical aspects of software engineering and how they relate to agent-based models are discussed for students interested in software engineering and parallel computing. Finally, it is intended as a guide to developers from biology, economics, and social science, who want to explore how to write agent-based models for their research area. By working through the model examples provided, anyone should be able to design and build agent-based models and deploy them. With FLAME, they can easily increase the agent number and run models on parallel computers, in order to save on simulation complexity and waiting time for results. Because the field is so large and active, the book does not aim to cover all aspects of agent-based modeling and its research challenges. The models are presented to show researchers how they can build complex agent functions for their models. The book demonstrates the advantage of using agent-based models in simulation experiments, providing a case to move away from differential equations and build more reliable, close to real, models."--Provided by publisher.
504			_aIncludes bibliographical references and index.
505	0		_aSetting the stage: complex systems, emergence and evolution -- Artificial agents -- Designing X-agents using FLAME -- Getting started with FLAME -- Agents in social science -- Agents in economic markets and games -- Agents in biology -- Testing agent behavior -- FLAME's future.
588	0		_aPrint version record.
542	1		_fThis work is licensed under a Creative Commons license _uhttps://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
590			_aMaster record variable field(s) change: 072
630	0	0	_aFLAME (Electronic resource : Science and Technology Facilities Council) _914897
650		0	_aComputer simulation.
650		0	_aMultiagent systems. _914898
650		0	_aVirtual computer systems. _914899
650		7	_aCOMPUTERS _xComputer Simulation. _2bisacsh _914900
650		7	_aComputer simulation. _2fast _0(OCoLC)fst00872518 _914901
650		7	_aMultiagent systems. _2fast _0(OCoLC)fst01749717 _914898
650		7	_aVirtual computer systems. _2fast _0(OCoLC)fst01167683 _914899
650		7	_aComputer modelling & simulation _2bicssc _914902
655		4	_aElectronic books.
655		0	_aElectronic book.
776	0	8	_iPrint version: _aKiran, M. (Mariam). _tX-machines for agent-based modeling. _dBoca Raton, FL : CRC Press, Taylor & Francis, [2017] _z9781498723855 _w(DLC) 2016037086 _w(OCoLC)964698308
830		0	_aChapman & Hall/CRC computer and information science series. _914903
856	4	0	_3EBSCOhost _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1585072
938			_aTaylor & Francis _bTAFR _n9781315370729
938			_aCRC Press _bCRCP _n9781315370729
938			_aEBL - Ebook Library _bEBLB _nEBL4987850
938			_aEBSCOhost _bEBSC _n1585072
938			_aProQuest MyiLibrary Digital eBook Collection _bIDEB _ncis32958694
938			_aYBP Library Services _bYANK _n14774053
938			_aYBP Library Services _bYANK _n14864532
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994			_a92 _bN$T
999			_c2101 _d2101