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Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections

  • Benjamin Ford
  • Matthew Brown
  • Amulya Yadav
  • Amandeep Singh
  • Arunesh Sinha
  • Biplav Srivastava
  • Christopher Kiekintveld
  • Milind Tambe
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9662)

Abstract

Leather is an integral part of the world economy and a substantial income source for developing countries. Despite government regulations on leather tannery waste emissions, inspection agencies lack adequate enforcement resources, and tanneries’ toxic wastewaters wreak havoc on surrounding ecosystems and communities. Previous works in this domain stop short of generating executable solutions for inspection agencies. We introduce NECTAR - the first security game application to generate environmental compliance inspection schedules. NECTAR’s game model addresses many important real-world constraints: a lack of defender resources is alleviated via a secondary inspection type; imperfect inspections are modeled via a heterogeneous failure rate; and uncertainty, in traveling through a road network and in conducting inspections, is addressed via a Markov Decision Process. To evaluate our model, we conduct a series of simulations and analyze their policy implications.

Keywords

Game theory Inspection Security games Human-robot/agent interaction Multiagent systems 

Notes

Acknowledgments

This research was supported by MURI Grant W911NF-11-1-0332.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Benjamin Ford
    • 1
  • Matthew Brown
    • 1
  • Amulya Yadav
    • 1
  • Amandeep Singh
    • 2
  • Arunesh Sinha
    • 1
  • Biplav Srivastava
    • 3
  • Christopher Kiekintveld
    • 4
  • Milind Tambe
    • 1
  1. 1.University of Southern CaliforniaLos AngelesUSA
  2. 2.Columbia UniversityNew YorkUSA
  3. 3.IBM ResearchNew DelhiIndia
  4. 4.University of Texas at El PasoEl PasoUSA

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