Expert Assessment of Human-Human Stigmergy

Abstract

Human-Human Stigmergy is pervasive. A wide range of pre-computer social systems fit the pattern of stigmergic coordination, and have provided a rich set of metaphors on which a diverse set of computer-enabled systems for enabling human stigmergy have been constructed. It would be more difficult to show a functioning human institution that is not stigmergic, than it is to find examples of human stigmergy. The reason that human-human stigmergy is so common can be understood from the growing body of experience in constructing large-scale distributed computing systems with resource-constrained elements. It has become clear that central control of such systems is not feasible, since resource-constrained components cannot cope with the large-scale, distributed aspects of such systems. The central insight of stigmergy is that coordination can be achieved by resource-constrained agents interacting locally in an environment. Two fundamental principles govern the success of this strategy: 1. No matter how large the environment grows, because agents interact only locally, their limited processing capabilities are not overwhelmed; 2. Through the dynamics of self-organization, local interactions can yield a coherent system-level outcome that provides the required control.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2005
Accession Number
ADA440006

Entities

People

  • H. Van Dyke Parunak

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Commerce
  • Computer Science
  • Computers
  • Distributed Computing
  • Engineering
  • Information Exchange
  • Information Processing
  • Information Systems
  • Logistics
  • Military Applications
  • Multiagent Systems
  • Physics
  • Self Organizing Systems
  • Simulations
  • Ubiquitous Computing

Fields of Study

  • Computer science

Readers

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