Advertisement

Managing Complexity: Practical Considerations in the Development and Application of ABMs to Contemporary Policy Challenges

  • Mirsad Hadzikadic
  • Sean O’Brien
  • Moutaz Khouja

Part of the Studies in Computational Intelligence book series (SCI, volume 504)

Table of contents

  1. Front Matter
    Pages 1-7
  2. Sean O’Brien, Mirsad Hadžikadić, Moutaz Khouja
    Pages 1-7
  3. Sean O’Brien, Mirsad Hadžikadić, Moutaz Khouja
    Pages 9-17
  4. Ted Carmichael
    Pages 19-28
  5. Mark Armstrong
    Pages 85-91
  6. Auroop R. Ganguly, Joseph Whitmeyer, Olufemi Omitaomu, Peter Brecke, Mirsad Hadžikadić, Paul Gilman et al.
    Pages 93-136
  7. Joseph Whitmeyer
    Pages 137-143
  8. Ted Carmichael
    Pages 155-168
  9. Back Matter
    Pages 169-172

About this book

Introduction

This book emerged out of a project initiated and funded by the Defense Advanced Research Projects Agency (DARPA) that sought to build on efforts to transform agent-based models into platforms for predicting and evaluating policy responses to real world challenges around the world.  It began with the observation that social science theories of human behavior are often used to estimate the consequences of alternative policy responses to important issues and challenges.  However, alternative theories that remain subject to contradictory claims are ill suited to inform policy.

The vision behind the DARPA project was to mine the social sciences literature for alternative theories of human behavior, and then formalize, instantiate, and integrate them within the context of an agent-based modeling system.  The research team developed an experimental platform to evaluate the conditions under which alternative theories and groups of theories applied.  The end result was a proof of concept—developed from the ground up—of social knowledge that could be used as an informative guide for policy analysis. This book describes in detail the process of designing and implementing a pilot system that helped DARPA assess the feasibility of a computational social science project on a large scale. 

Keywords

Agent-Based Modeling Computational Intelligence Problem Solving

Editors and affiliations

  • Mirsad Hadzikadic
    • 1
  • Sean O’Brien
    • 2
  • Moutaz Khouja
    • 3
  1. 1.College of Computing and Informatics, Software and Information SystemsUniversity of North CarolineCharlotteUSA
  2. 2.Strategic Analysis Enterprises, IncFairfax StationUSA
  3. 3.The University of North Carolina at CharCharlotteUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-39295-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-39294-8
  • Online ISBN 978-3-642-39295-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site