X-Machines for Agent-Based Modeling
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 effici...
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| Materialtyp: | Online |
| Språk: | engelska |
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Taylor & Francis
2025
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| Länkar: | ONIX_20250512_9781498723879_85 |
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| _version_ | 1869528776345387008 |
|---|---|
| author | Kiran, Mariam |
| author_browse | Kiran, Mariam |
| author_facet | Kiran, Mariam |
| author_sort | Kiran, Mariam |
| collection | Directory of Open Access Books |
| description | 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, UK Agent-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. The Open Access version of this book, available at https://doi.org/10.1201/9781315370729, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license. |
| format | Online |
| id | doab-20.500.12854ir-159310 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1593102025-07-29T18:53:18Z X-Machines for Agent-Based Modeling Kiran, Mariam Agent Based Modeling Simulation Program Generator Artificial Society Cellular Automata Memetic Algorithms Closing Channels CRTH2 Receptor Agent Based Modeling Framework Monomorium Pharaonis MPI Library GPU Version Function Execution Iterated Prisoner’s Dilemma Game MPI Sugarscape Model Nash Equilibrium Geometric Partitioning Grid Version Xml File Cournot Model Feed Forward Network Structure GAs GPU Kernel Active Management Applications Software Engineering Perspective thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering 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, UK Agent-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. The Open Access version of this book, available at https://doi.org/10.1201/9781315370729, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license. 2025-05-13T04:33:11Z 2025-05-13T04:33:11Z 2025-05-12T09:38:30Z 2017 book ONIX_20250512_9781498723879_85 https://library.oapen.org/handle/20.500.12657/101552 9781498723879 9781315370729 9781498723855 9780367573157 9781315334523 9781315353586 https://directory.doabooks.org/handle/20.500.12854/159310 eng Chapman & Hall/CRC Computer and Information Science Series open access image/jpeg image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/101552/1/9781498723879.pdf https://library.oapen.org/bitstream/20.500.12657/101552/1/9781498723879.pdf Taylor & Francis Chapman and Hall/CRC 10.1201/9781315370729 10.1201/9781315370729 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 Knowledge Unlatched b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 9781498723879 9781315370729 9781498723855 9780367573157 9781315334523 9781315353586 Knowledge Unlatched (KU) KU Select 2018: STEM Backlist Books Chapman and Hall/CRC 344 [...] open access |
| spellingShingle | Agent Based Modeling Simulation Program Generator Artificial Society Cellular Automata Memetic Algorithms Closing Channels CRTH2 Receptor Agent Based Modeling Framework Monomorium Pharaonis MPI Library GPU Version Function Execution Iterated Prisoner’s Dilemma Game MPI Sugarscape Model Nash Equilibrium Geometric Partitioning Grid Version Xml File Cournot Model Feed Forward Network Structure GAs GPU Kernel Active Management Applications Software Engineering Perspective thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering Kiran, Mariam X-Machines for Agent-Based Modeling |
| title | X-Machines for Agent-Based Modeling |
| title_full | X-Machines for Agent-Based Modeling |
| title_fullStr | X-Machines for Agent-Based Modeling |
| title_full_unstemmed | X-Machines for Agent-Based Modeling |
| title_short | X-Machines for Agent-Based Modeling |
| title_sort | x machines for agent based modeling |
| topic | Agent Based Modeling Simulation Program Generator Artificial Society Cellular Automata Memetic Algorithms Closing Channels CRTH2 Receptor Agent Based Modeling Framework Monomorium Pharaonis MPI Library GPU Version Function Execution Iterated Prisoner’s Dilemma Game MPI Sugarscape Model Nash Equilibrium Geometric Partitioning Grid Version Xml File Cournot Model Feed Forward Network Structure GAs GPU Kernel Active Management Applications Software Engineering Perspective thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering |
| topic_facet | Agent Based Modeling Simulation Program Generator Artificial Society Cellular Automata Memetic Algorithms Closing Channels CRTH2 Receptor Agent Based Modeling Framework Monomorium Pharaonis MPI Library GPU Version Function Execution Iterated Prisoner’s Dilemma Game MPI Sugarscape Model Nash Equilibrium Geometric Partitioning Grid Version Xml File Cournot Model Feed Forward Network Structure GAs GPU Kernel Active Management Applications Software Engineering Perspective thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering |
| url | ONIX_20250512_9781498723879_85 |
| work_keys_str_mv | AT kiranmariam xmachinesforagentbasedmodeling |