Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

6-2016

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

Discipline

Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Proceedings of International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS)

First Page

97

Last Page

108

Identifier

10.1007/978-3-319-39324-7_9

City or Country

Sevilla, Spain

Additional URL

http://doi.org/10.1007/978-3-319-39324-7_9

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