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X-Machines for Agent-Based Modeling - FLAME Perspectives (Paperback)
Loot Price: R1,536
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X-Machines for Agent-Based Modeling - FLAME Perspectives (Paperback)
Series: Chapman & Hall/CRC Computer and Information Science Series
Expected to ship within 10 - 15 working days
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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.
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