Separating Cognition Performance from Execution Environment (SCoPE)

Abstract

The goal of SCoPE was to predict mission plan performance, taking into consideration mission plan characteristics as well as cognitive and environmental factors influencing the plan. Given the large number of features that go into any one particular mission, the team proposed to use a conceptual spaces based model to identify features spaces that correspond to successful missions. To test proposed algorithms, the project initially aimed to use datasets related to HADR missions. An HADR simulation model was created using AnyLogic for the OtK program, and this model was used to generate datasets for the SCoPE program. Developing a validated simulation model, capable of generating large sets of simulation runs, proved challenging and largely unsuccessful. Highlights of the work with the HADR simulation model are presented first, including lessons learned from working with complex simulation models.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2018
Accession Number
AD1065639

Entities

People

  • Hector Ortiz-pena
  • Katie McConky
  • Moises Sudit

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Cognition
  • Data Sets
  • Disasters
  • Engineering
  • Environment
  • Humanitarian Assistance
  • Intelligence Collection
  • Lessons Learned
  • Machine Learning
  • Mathematical Models
  • Simulations
  • Statistics
  • Travel Time
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Readers

  • Computational Modeling and Simulation
  • Military and Counterinsurgency Studies.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Space