X Machines for Agent Based Modeling Book [PDF] Download

Download the fantastic book titled X Machines for Agent Based Modeling written by Mariam Kiran, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "X Machines for Agent Based Modeling", which was released on 30 August 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of X Machines for Agent Based Modeling by Mariam Kiran PDF

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.


Detail About X Machines for Agent Based Modeling PDF

  • Author : Mariam Kiran
  • Publisher : CRC Press
  • Genre : Computers
  • Total Pages : 320 pages
  • ISBN : 149872387X
  • PDF File Size : 28,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

Clicking on the GET BOOK button will initiate the downloading process of X Machines for Agent Based Modeling by Mariam Kiran. This book is available in ePub and PDF format with a single click unlimited downloads.

GET BOOK

X-Machines for Agent-Based Modeling

X-Machines for Agent-Based Modeling
  • Publisher : CRC Press
  • File Size : 21,9 Mb
  • Release Date : 30 August 2017
GET BOOK

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

Agent-Based and Individual-Based Modeling

Agent-Based and Individual-Based Modeling
  • Publisher : Princeton University Press
  • File Size : 31,6 Mb
  • Release Date : 06 June 2024
GET BOOK

Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these

Simulation and Modeling Methodologies, Technologies and Applications

Simulation and Modeling Methodologies, Technologies and Applications
  • Publisher : Springer Science & Business Media
  • File Size : 51,7 Mb
  • Release Date : 12 October 2012
GET BOOK

The present book includes extended and revised versions of a set of selected papers from the 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2011) which was

Agents and Artificial Intelligence

Agents and Artificial Intelligence
  • Publisher : Springer
  • File Size : 33,8 Mb
  • Release Date : 18 December 2015
GET BOOK

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Agents and Artificial Intelligence, ICAART 2015, held in Lisbon, Portugal, in January 2015.The 18 revised full papers presented

Intelligent Agents in Data-intensive Computing

Intelligent Agents in Data-intensive Computing
  • Publisher : Springer
  • File Size : 25,6 Mb
  • Release Date : 21 September 2015
GET BOOK

This book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a review of recent

Large-Scale Computing Techniques for Complex System Simulations

Large-Scale Computing Techniques for Complex System Simulations
  • Publisher : John Wiley & Sons
  • File Size : 25,6 Mb
  • Release Date : 03 February 2012
GET BOOK

Complex systems modeling and simulation approaches are being adopted in a growing number of sectors, including finance, economics, biology, astronomy, and many more. Technologies ranging from distributed computing to specialized

Design of Agent-based Models

Design of Agent-based Models
  • Publisher : Tomáš Bruckner
  • File Size : 25,6 Mb
  • Release Date : 06 June 2024
GET BOOK

Although there are plenty of publications dealing with the theory of multi-agent systems and agent-based simulations, information about the practical development of such systems is scarce. The aim of this

Multi-Agent Based Simulation XVII

Multi-Agent Based Simulation XVII
  • Publisher : Springer
  • File Size : 43,6 Mb
  • Release Date : 03 October 2017
GET BOOK

This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Workshop on Multi-Agent-Based Simulation, MABs 2016, held in Singapore, in May 2016. The workshop was held in Conjunction with the 15

Multi-Agent Systems and Agreement Technologies

Multi-Agent Systems and Agreement Technologies
  • Publisher : Springer Nature
  • File Size : 49,8 Mb
  • Release Date : 04 January 2021
GET BOOK

This book constitutes the revised post-conference proceedings of the 17th European Conference on Multi-Agent Systems, EUMAS 2020, and the 7th International Conference on Agreement Technologies, AT 2020, which were originally planned to

Machine Learning and Big Data with kdb+/q

Machine Learning and Big Data with kdb+/q
  • Publisher : John Wiley & Sons
  • File Size : 53,7 Mb
  • Release Date : 31 December 2019
GET BOOK

Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful