Platform for Discovery of Optimal Human-Computer Problem Solving Architecture

Abstract

This report describes several novel approaches broadly related to human-artificial intelligence (AI) collaborative teams in complex problem-solving environments. The research defines and implements techniques for understanding complex interactions between team members and computer agents, and distills from that analysis changes to both agents and team structures, all towards increasing the skill of individuals comprising the team and improving the overall outcomes and performance. This report describes each approach and its implementation and uses, show example results, and provide conclusions.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2021
Accession Number
AD1152531

Entities

People

  • Aaron Bauer
  • Anant Mittal
  • Joshua Gardner
  • Zoran Popovic

Organizations

  • University of Washington

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Applied Mathematics
  • Artificial Intelligence
  • Big Data
  • Computers
  • Data Mining
  • Detection
  • Engineering
  • Environment
  • Information Science
  • Learning
  • Machine Learning
  • Platforms
  • Processing Equipment
  • Reinforcement Learning
  • Standards
  • Three Dimensional
  • United States

Fields of Study

  • Computer science

Readers

  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML