Full Content is available to subscribers

Subscribe/Learn More  >

Toward a Meta-Model of Behavioral Interaction for Designing Complex Adaptive Systems

[+] Author Affiliations
Winston Chiang, Yan Jin

University of Southern California, Los Angeles, CA

Paper No. DETC2011-48821, pp. 1077-1088; 12 pages
  • ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2: 31st Computers and Information in Engineering Conference, Parts A and B
  • Washington, DC, USA, August 28–31, 2011
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5479-2
  • Copyright © 2011 by ASME


Future complex engineered systems must be adaptable to, and function in, unpredictable situations, such as deep space or ocean explorations, hazardous waste cleanups, and search-and-rescue missions. To increase system adaptability, various multi-agent system approaches have been developed. From a design point of view, a critical question in developing such systems is: how can system adaptability be designed into complex systems based only on local interactions between (many) simple cells or agents? Although explicit cooperative methods have been applied to answer this question, their limitation in scaling-up has been recognized. In this paper, we introduce a meta-interaction model that can be used as a design approach towards multi-agent complex systems. The approach parameterizes behavioral interactions extended from the Boids swarm intelligence model by introducing dynamical variables into the system. The goal of the meta-interaction model is to provide a mapping for the prediction of collective functionality from local interactions and for the indication of local interactions based on desired functionality. The proposed model is described in detail and a computer simulation based case study of search-and-surround is presented to demonstrate the effectiveness of our proposed approach to designing complex adaptive systems.

Copyright © 2011 by ASME
Topics: Design



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In