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Agent-based Modeling and Simulation

  • Book
  • © 2014

Overview

Editors:
  1. Simon J. E. Taylor

    1. Brunel University, UK

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Part of the book series: OR Essentials (ORESS)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Introducing agent-based modeling and simulation

    • Simon J. E. Taylor
    Pages 1-10

  3. Tutorial on agent-based modeling and simulation

    • C. M. Macal, M. J. North
    Pages 11-31

  4. Some insights into the emergence of agent-based modeling

    • B. L. Heath, R. R. Hill
    Pages 32-44

  5. An application of agent-based simulation to the management of hospital-acquired infection

    • Y. Meng, R. Davies, K. Hardy, P. Hawkey
    Pages 45-60

  6. An agent-based simulation approach for the new product diffusion of a novel biomass fuel

    • M. Günther, C. Stummer, L. M. Wakolbinger, M. Wildpaner
    Pages 61-77

  7. Agent-based modeling and simulation of urban evacuation: relative effectiveness of simultaneous and staged evacuation strategies

    • X. Chen, F. B. Zhan
    Pages 78-96

  8. Towards the development of a simulator for investigating the impact of people management practices on retail performance

    • P. O. Siebers, U. Aickelin, H. Celia, C. W. Clegg
    Pages 97-132

  9. A multi-agent simulation of the pharmaceutical supply chain

    • G. Jetly, C. L. Rossetti, R. Handfield
    Pages 133-154

  10. Workflow scheduling using multi-agent systems in a dynamically changing environment

    • M. Merdan, T. Moser, W. Sunindyo, S. Biffl, P. Vrba
    Pages 155-184

  11. Credit risk: an agent-based model of post-credit decision actions and credit losses in banks

    • S. Jonsson
    Pages 185-207

  12. The development of new infantry tactics during the early eighteenth century: a computer simulation approach to modern military history

    • X. Rubio-Campillo, J. M. Cela, F. X. H. Cardona
    Pages 208-230

  13. A generic testing framework for agent-based simulation models

    • Ö Gürcan, O. Dikenelli, C. Bernon
    Pages 231-270

  14. Successful approaches for teaching agent-based simulation

    • C. M. Macal, M. J. North
    Pages 271-290

  15. Discrete-event simulation is alive and kicking!

    • S. Brailsford
    Pages 291-306

  16. Back Matter

    Pages 307-314
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Keywords

About this book

Operational Research (OR) deals with the use of advanced analytical methods to support better decision-making. It is multidisciplinary with strong links to management science, decision science, computer science and many application areas such as engineering, manufacturing, commerce and healthcare. In the study of emergent behaviour in complex adaptive systems, Agent-based Modelling & Simulation (ABMS) is being used in many different domains such as healthcare, energy, evacuation, commerce, manufacturing and defense. This collection of articles presents a convenient introduction to ABMS with papers ranging from contemporary views to representative case studies. The OR Essentials series presents a unique cross-section of high quality research work fundamental to understanding contemporary issues and research across a range of Operational Research (OR) topics. It brings together some of the best research papers from the esteemed Operational Research Society and its associated journals, also published by Palgrave Macmillan.

Editors and Affiliations

  • Brunel University, UK

    Simon J. E. Taylor

About the editor

Dr Simon J E Taylor is Reader in the Department of Computer Science at Brunel University, UK. He founded the COTS Simulation Package Interoperability Standards Group under the Simulation Interoperability Standards Organization and co-founded the Journal of Simulation. He is a member of the ACM SIGSIM Steering Committee. He has published many simulation-related articles and is changing the practice of simulation in industry with advanced computing techniques such as Cloud Computing. He is also working with African scientists to develop ICT-based research infrastructures.

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