Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security

Authors

  • Sara Marie Mc Carthy University of Southern California
  • Milind Tambe University of Southern California
  • Christopher Kiekintveld University of Texas at El Paso
  • Meredith Gore Michigan State University
  • Alex Killion Michigan State University

DOI:

https://doi.org/10.1609/aaai.v30i1.9904

Keywords:

Game Theory, Multi-Agents, Security

Abstract

Green security — protection of forests, fish and wildlife — is a critical problem in environmental sustainability. We focus on the problem  of  optimizing the defense of forests againstillegal logging, where often we are faced with the challenge of teaming up many different groups,  from national police to forest guards to NGOs, each with differing capabilities and costs. This paper introduces a new, yet fundamental problem: SimultaneousOptimization of Resource Teams and Tactics (SORT).  SORT contrasts with most previous game-theoretic research for green security — in particular based onsecurity games — that has solely focused on optimizing patrolling tactics, without consideration of team formation or coordination.  We develop new models and scalable algorithms to apply SORT towards illegal logging in large forest areas. We evaluate our methods on a variety of synthetic examples, as well as a real-world case study using data from our on-going collaboration in Madagascar.

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Published

2016-03-05

How to Cite

Mc Carthy, S. M., Tambe, M., Kiekintveld, C., Gore, M., & Killion, A. (2016). Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9904

Issue

Section

Special Track: Computational Sustainability