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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAdvances in Practical Applications of Scalable Multi-agent Systems
Subtitle of host publicationThe PAAMS Collection - 14th International Conference, PAAMS 2016, Proceedings
EditorsTakayuki Ito, Maria José Escalona, Yves Demazeau, Javier Bajo
PublisherSpringer Verlag
Pages97-108
Number of pages12
ISBN (Print)9783319393230
DOIs
StatePublished - 2016
Event14th International Conference on Advances in Practical Applications of Scalable Multi-agent Systems, PAAMS 2016 - Sevilla, Spain
Duration: Jun 1 2016Jun 3 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9662
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Advances in Practical Applications of Scalable Multi-agent Systems, PAAMS 2016
CountrySpain
CitySevilla
Period6/1/166/3/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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