Systems

Facebook Twitter
The architecture that pervades biological networks gives them an evolutionary edge by allowing them to evolve to perform new functions more rapidly than an alternative network design, according to computer simulations conducted at the University of Chicago. The finding is published in the August issue of the journal Nature Physics. Scientists have found the same intricate network architecture of evolution just about everywhere they look. This architecture characterizes the interaction network of proteins in yeast, worms, fruit flies and viruses, to name a few. But this same architecture also pervades social networks and even computer networks, affecting, for example, the functioning of the World Wide Web. “These results highlight an organizing principle that governs the evolution of complex networks and that can improve the design of engineered systems,” wrote the article’s co-authors, graduate student Panos Oikonomou and Philippe Cluzel, Assistant Professor in Physics. Digital Darwinian world reveals architecture of evolution Digital Darwinian world reveals architecture of evolution
robotic sculptures, interactive art inspired by natural systems
AIX, AS/400, DB/2, OS/2, System/360, MVS, VM/CMS, and IBM PC are trademarks of IBM. Alpha, DEC, VAX, HP-UX, PDP, TOPS-10, TOPS-20, VMS, and VT-100 are trademarks of Compaq. Amiga and AmigaOS are trademarks of Amiga, Inc. Apple, Macintosh, MacOS, Newton, OpenDoc, and OpenStep are trademarks of Apple Computers, Inc. The Art of Unix Programming by Eric Raymond The Art of Unix Programming by Eric Raymond
Self-Organising Map
Games Analysis - Types
Archetypes: Interaction Structures of the Universe Archetypes: Interaction Structures of the Universe Interaction Structures of the Universe This article is essentially a continuation of Systems Thinking: An Operational Perspective of the Universe in which the Reinforcing and Balancing structures were developed. This article develops a set of frequently recurring structures resulting from various combinations of Reinforcing and Balancing structures. This article essentially represents an elaboration of the work of Senge (1990) and Pegasus Communications (1989-1996). Note that all the archetype examples that were previously wired into this article are now accessible via theWay which is considered to provide a more comprehensive treatment of the archetypes, as well as a few additional ones, and uses the "+" and "-" influence notation.