QUANTA: Quantitative Network-based Models of Adaptive Team Behavior

Abstract

The recent convergence of research in social and psychological sciences, dynamic and quantitative modeling, and network science has led to a re-examination of collective team behavior from a quantitative and systems-oriented viewpoint. Teams cannot be understood fully by studying their components (members) inisolation: team performance is not simply a sum of individual performances; and a diversity of opinions among members leads to better group outcomes. However, it is not yet understood how patterns of interactions and relationships among team members (i.e. team networks) impact performance. Understanding these patterns is critical, as the resolution of complex issues requires deliberative within-group interaction processes in which alternative courses of action are surfaced, evaluated, and acted upon.

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Document Details

Document Type
Technical Report
Publication Date
Mar 28, 2022
Accession Number
AD1203044

Entities

Organizations

  • University of California, Santa Barbara

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Business Administration
  • Climate Change
  • Cognitive Systems Engineering
  • Computational Science
  • Control Systems
  • Control Systems Engineering
  • Data Mining
  • Data Science
  • Families (Human)
  • Human Behavior
  • Information Science
  • International Relations
  • Machine Learning
  • Multiagent Systems
  • Network Science
  • Predictive Modeling
  • Psychology
  • Social Networks
  • Teamwork

Fields of Study

  • Computer science

Readers

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