Abductive Inference for Combat: Using SCARE-S2 to Find High-Value Targets in Afghanistan

Abstract

Recently, geospatial abduction was introduced by the authors in (Shakarian, Subrahmanian, and Spaino 2010) as a way to infer unobserved geographic phenomena from a set of known observations and constraints between the two. In this paper, we introduce the SCARES2 software tool which applies geospatial abduction to the environment of Afghanistan. Unlike previous work, where we looked for small weapon caches supporting local attacks, here we look for insurgent high-value targets (HVTs), supporting insurgent operations in two provinces. These HVTs include the locations of insurgent leaders and major supply depots. Applying this method of inference to Afghanistan introduces several practical issues not addressed in previous work. Namely, we are conducting inference in a much larger area (24, 940 sq km as compared to 675 sq km in previous work), on more varied terrain, and must consider the influence of many local tribes. We address all of these problems and evaluate our software on 6 months of real-world counter-insurgency data. We show that we are able to abduce regions of a relatively small area (on average, under 100 sq km) that are more dense with HVTs (35 more than the overall area considered).

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 08, 2011
Accession Number
ADA580319

Entities

People

  • Brittany E. Schuetzle
  • Margo K. Nagel
  • Paulo Shakarian
  • V. S. Subrahmanian

Organizations

  • United States Army

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Counter IED
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Command And Control
  • Computational Science
  • Computer Science
  • Counterterrorism
  • Data Sets
  • Enemy Personnel
  • Human Intelligence
  • Improvised Explosive Devices
  • Intelligence Cycle
  • Supply Depots
  • Surface To Air Missiles
  • Terrorism
  • Unmanned Aerial Vehicles
  • Urban Areas

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Political Violence and Terrorism Studies.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks