The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Method of Systems Potential as "Top-Bottom" Technique of the Complex Adaptive Systems Modelling
|
|
Author(s): Gr gor S. Pushnoi (St. Petersburg, Russia)and Gordon L. Bonser (California, USA)
Copyright: 2008
Pages: 49
Source title:
Intelligent Complex Adaptive Systems
Source Author(s)/Editor(s): Ang Yang (University of New South Wales, Australia)and Yin Shan (University of New South Wales, Australia)
DOI: 10.4018/978-1-59904-717-1.ch002
Purchase
|
Abstract
Emergent properties of complex adaptive systems (CAS) are explored by means of “agent-based modelling” (ABM), which are compared with results from modelling on the basis of the method of systems potential (MSP). MSP describes CAS as a holistic system whereas ABM-methodology considers CAS as set of interacting “agents.” It is argued that MSP is a “top-bottom” approach, which supplements ABM “bottom-up” modeling of CAS. Adaptive principles incorporated into CAS at the level of a holistic system exploit Lamarck’s ideas about evolution, while the adaptive rules incorporated in the inner structure of CAS reflect Darwin’s ideas. Both ABM and MSP exhibit the same macroscopic properties: (1) “punctuated equilibrium”; (2) sudden jumps in macro-indices; (3) cyclical dynamics; (4) superposition of deterministic and stochastic patterns in dynamics; (5) fractal properties of structure and dynamics; (6) SOC-phenomenon. ABM demonstrates these properties via simulations of the different models whereas MSP derives these phenomena analytically.
Related Content
|
David Zelinka, Bassel Daher.
© 2021.
30 pages.
|
|
David Zelinka, Bassel Daher.
© 2021.
29 pages.
|
|
Narendranath Shanbhag, Eric Pardede.
© 2021.
31 pages.
|
|
Marc Haddad, Rami Otayek.
© 2021.
20 pages.
|
|
Reem A. ElHarakany, Alfredo Moscardini, Nermine M. Khalifa, Marwa M. Abd Elghany, Mona M. Abd Elghany.
© 2021.
23 pages.
|
|
Sanjay Soni, Basant Kumar Chourasia.
© 2021.
35 pages.
|
|
Lina Carvajal-Prieto, Milton M. Herrera.
© 2021.
20 pages.
|
|
|