Integrated Cognitive-neuroscience Architectures for Understanding Sensemaking (ICArUS): Phase 1 Test and Evaluation Development Guide

Abstract

The Integrated Cognitive-neuroscience Architectures for Understanding Sensemaking (ICArUS) Program aimed to build computational cognitive-neuroscience models to explain, predict, and emulate the process of human sensemaking the process of generating hypotheses to explain data that is sparse, noisy, and uncertain. Phase 1 lasted from December, 2010 to December, 2012. In Phase 1, the program employed a challenge problem, based on geospatial data, to compare the models performance to human performance. Here, the term geospatial data includes multiple types of intelligence data, any of which may be represented in a georeferenced framework for instance, a layer within a GIS-like display. The challenge problem was focused on scientific rigor as opposed to operational relevance; all examples were fictitious in nature and represented in a neutral manner. This documents primary purpose is to specify the format of the ICArUS Phase 1 Challenge Problem. It was written for software developers, contains development code, and is not meant to stand alone. The document, ICArUS: Overview of Test and Evaluation (T and E) Materials [ADA624922] provides a broad overview of MITREs T and E effort, including a list of all T and E documents and materials produced in Phase 1.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
AD1016626

Entities

People

  • Craig Bonaceto
  • Michael Fine

Tags

DTIC Thesaurus Topics

  • Boundaries
  • Center Of Gravity
  • Coding
  • Cognitive Neuroscience
  • Coordinate Systems
  • Governments
  • Grids
  • Human Intelligence
  • Identification
  • Latitude
  • Learning
  • Longitude
  • Military Facilities
  • Motor Skills
  • Neurosciences
  • Signals Intelligence
  • Test And Evaluation

Readers

  • Computer Vision.
  • Parallel and Distributed Computing.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.