LEADER 05046 am 22004933u 450 001 9910346022103321 005 20211214195618.0 010 $a1-315-37072-7 010 $a1-315-35358-X 010 $a1-4987-2387-X 024 7 $a10.1201/9781315370729 035 $a(CKB)4100000000267823 035 $a(MiAaPQ)EBC4987850 035 $a(OCoLC)993968272 035 $a(ScCtBLL)bd2a843a-da0f-46a8-91cc-91f8dd0d5577 035 $a(EXLCZ)994100000000267823 100 $a20180706d2017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aX-machines for agent-based modeling $eFLAME perspectives /$fMariam Kiran 210 1$aBoca Raton :$cTaylor & Francis, CRC Press,$d2017. 215 $a1 online resource (300 pages) $cillustrations 311 $a1-4987-2385-3 320 $aIncludes bibliographical references and index. 327 $tchapter 1 Setting the Stage: Complex Systems, Emergence and Evolution /$r Mariam Kiran -- $tchapter 2 Artificial Agentss /$r Mariam Kiran -- $tchapter 3 Designing X-Agents Using FLAME /$r Mariam Kiran -- $tchapter 4 Getting Started with FLAME /$r Mariam Kiran -- $tchapter 5 Agents in Social Science /$r Mariam Kiran -- $tchapter 6 Agents in Economic Markets and Games /$r Mariam Kiran -- $tchapter 7 Agents in Biology /$r Mariam Kiran -- $tchapter 8 Testing Agent Behavior /$r Mariam Kiran -- $tchapter 9 FLAME?s Future /$r Mariam Kiran. 330 $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. 606 $aComputer simulation 606 $aMultiagent systems 606 $aVirtual computer systems 608 $aElectronic books. 615 0$aComputer simulation. 615 0$aMultiagent systems. 615 0$aVirtual computer systems. 676 $a005.4/3 700 $aKiran$b M$g(Mariam),$0913730 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910346022103321 996 $aX-machines for agent-based modeling$92047208 997 $aUNINA