Collaborative Software for Information Fusion

Abstract

This report describes initial research in developing the scientific foundations and practical experience necessary for a highly responsive information-fusion application that improves the effectiveness of analysts and decisionmakers within the Army's Unit of Action (brigade-level force). This research is leading to the development of a software application that can augment and support Army personnel in answering Priority Intelligence Requirements (PIRs) associated with monitoring, assessing, and responding to enemy actions and other battlespace-environment characteristics. Currently, time constraints and information overload often result in hasty, partial analysis of the information available to intelligence personnel. An effective, automated support application can help Army analysts and decisionmakers within the Unit of Action focus on appropriate data by providing spatially and temporally aggregated views of the environment and by ensuring that important information has not been overlooked. Initial research was performed in the areas of: blackboard-system-based architectural techniques, opportunistic control machinery, and their effects on hypothesis management; multi-entity Bayesian blackboard representations, construction, and inference; temporal and spatial knowledge representation and data aggregation; dynamic, priority-based, problem-solving control strategies. This report discusses issues and approaches addressed, progress to date, and lessons learned concluding with a summary of technical challenges and recommendations facing future research and development activities.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADA437538

Entities

People

  • Daniel D. Corkill

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Application Software
  • Artificial Intelligence
  • Bayesian Networks
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Data Sets
  • Department Of Defense
  • Graphical User Interface
  • Grids
  • Lessons Learned
  • Lisp Programming Language
  • Operating Systems
  • Reasoning
  • User Interface

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Distributed Systems and Data Platform Development
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy