Multi-Level Cultural Models

Abstract

Empirically grounded multi-agent meta-network multi-level simulations were developed, tested, validated and then used to explain and predict socio-cultural outcomes. Virtual experiments employing real and virtual data were conducted examining the impact of group structure and the communication media on the evolution of the group, the culture and the change in sentiment. The Arab Spring was used as a case example. A formal theory of socio-cultural dynamics based on the co-evolution of self and the groups one is a member of was instantiated as multi-level construct. The results indicate that: model re-use for social-network diffusion models is feasible; adding social cognition to a multi-level model improves realism, accuracy of predictions, and decreases memory consumption and improves run-time speed.

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Document Details

Document Type
Technical Report
Publication Date
Nov 05, 2014
Accession Number
ADA614264

Entities

People

  • Kathleen Carley

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Air Force
  • Air Force Research Laboratories
  • Big Data
  • Computer Science
  • Computers
  • Geographic Regions
  • Media
  • Middle East
  • Perception
  • Political Movements
  • Simulations
  • Simulators
  • Social Media
  • Social Networks
  • Social Sciences
  • Students

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.