Wikipedia as a Multi Agent System
Stumble It!Here is an interesting article which uses Wikipedia as an example of a collaborative multi-agent system (MAS) involving both human and non-human agents. The same approach could be used to map any collaborative system.
The author identifies seven dimensions of a MAS and illustrates each dimension using Wikipedia:
- Tasks
- Agents
- Control Flow
- Data Flow
- Message Content
- Message Timing
- Culture and Resources
To read the article click here
One slightly ironic point to note is that wikipedia itself flags this article with a health warning because they believe it may violate their “no-original research” rule!
For more on Agents see Virtual team member autonomy: learn from software agents
Tags: agents
Digg | 
del.icio.us | 
Reddit | 
Yahoo! | 
Add to my favourites
Bioteams Books Reviews
Team member responsibility problems
One of the main dilemmas for team leaders and members is the thorny issue of responsibility. We often fixate on the problem of leaders and members not taking enough responsibility but according to Dr Scott Peck they can also do damage if they try to take too much!
Buy it now from:
Amazon.Com
Amazon.Co.UK
Related Collaboration Research & Science Articles
Dolphins know each others names
Sunday Times Online, May 07, 2006 reports in Dolphins ‘know each other’s names’ that DOLPHINS may be even closer to humans than previously realised, with new research showing they communicate by whistling out their own “names”.
Virtual Teams, Virtual Groups and Virtual Crowds
The million member virtual team?
Pattern recognition in bees: new research
Bees recognise human faces
The pattern recognition skills of bees are well-known, thought to have evolved to enable them to discriminate between different types of flowers. As social insects, they can also recognise and differentiate between their hivemates. Now a new study shows that these capabilities are so powerful that bees can recognize human faces better than some humans and with one-ten thousandth of the brain cells. The results may help lead to better face-recognition software. To read boingboing synopsis.
Leave a comment