Engineering Emergence in Large-Scale Simulations

Abstract

The PI examined emergent behaviors in large multi-agent systems. Specifically, the PI worked to understand, identify, andexperiment with emergent system behavioral patterns. This work is important for understanding modern complex systems, andnecessary for systems to positively responding to these behaviors whether planned or unplanned action or reaction. The workproduced one journal paper and two conference papers, and was useful for advancing the state of the art in the area of complexsystems/networks.

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Document Details

Document Type
Technical Report
Publication Date
Nov 02, 2018
Accession Number
AD1063078

Entities

People

  • Simon Miles

Organizations

  • King's College London

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Autonomous Agents
  • Complex Systems
  • Contracts
  • Data Mining
  • Detection
  • Engineering
  • Multiagent Systems
  • Probability
  • Social Norms
  • Specifications
  • Standards

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design
  • Technical Research and Report Writing.