Download Complexity, Volume 16, Issue 5, May June 2011 by Peter Schuster, Alfred W. Hubler PDF
By Peter Schuster, Alfred W. Hubler
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Extra info for Complexity, Volume 16, Issue 5, May June 2011
This means that starting with only simple elements, with random variations you can only get more complex. However, this explanation does not account for the increasing speed at which complexity has evolved. The σ proﬁle can be used to gradually measure metasystem transitions [30, 31],4 which clearly indicate an increase of complexity. Thus, the σ proﬁle can be used to understand better the evolution of complexity. Each agent at its own scale tries to maximize its satisfaction. However, a high satisfaction does not always imply a higher evolutionary ﬁtness.
9. ; Wilkinson, A. Organizational failure: A critique of recent research and a proposed integrative framework. Int J Manage Rev 2004, 5, 21À41. 10. ; Raisch, S. Organizational crisis: The logic of failure. Acad Manage Exec 2005, 19, 90À105. 11. ; Jonsson, E. Decline in organizations: A literature integration and extension. Admin Sci Q 1989, 34, 91À109. 12. P. Strategy and bankruptcy: An exploration into organizational death. J Manage 1994, 20, 795À833. 13. ; Arenas, A. Self-similar community structure in a network of human interactions.
The description of a general tendency on the evolution of complexity and cooperation naturally follows from the σ proﬁle. Experiments on a virtual ecosystem are used as illustration. © 2010 Wiley Periodicals, Inc. Complexity 16: 37–44, 2011 Key Words: evolution; complexity; cooperation; organization 1. INTRODUCTION W e use metaphors, models, and languages to describe our world. Different descriptions may be more suitable than others. We tend to select from a pool of different descriptions those that ﬁt with a particular purpose.