Difference between revisions of "Group 2"

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(Challenges)
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===Challenges===
 
===Challenges===
* '''General''':  
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* '''Design of emergence''':  
 
** How to design ''local rules'' achieving the desired ''global properties''?  
 
** How to design ''local rules'' achieving the desired ''global properties''?  
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** Communication pattern
 
** Non-trivial but approaches exist.
 
** Non-trivial but approaches exist.
* '''Chaos nature''': Stochastic input. Description of complex current state is impossible, which makes it impossible to predict future states.  
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* '''Design of communication
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* '''Classification''':
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** Can we describe the system state?
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*** The state of some self-organizing systems can be easily modeled (firefly sync)
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*** The state of other self-organizing systems cannot be modeled, they exhibit chaotic behavior, which makes it impossible to predict future states.
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* Malicious nodes, faults, defects
 
* Malicious nodes, faults, defects
 
* Rare events may lead to major global effects. Repeatability of results
 
* Rare events may lead to major global effects. Repeatability of results
* '''Modeling and design'''
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* '''Testing''' a proposed self-organizing system with respect to a given goal can be difficult (many entities, large operational range)
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* '''Testing''':
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*** Testing a proposed self-organizing system with respect to a given goal can be difficult (many entities, large operational range)
  
 
===Ideas===
 
===Ideas===

Revision as of 11:14, 12 July 2010

Group members

  • Christian Bettstetter
  • Hermann de Meer
  • Johannes Klinglmayr
  • Martina Umlauft

Challenges

  • Design of emergence:
    • How to design local rules achieving the desired global properties?
    • Communication pattern
    • Non-trivial but approaches exist.
  • Design of communication
  • Classification:
    • Can we describe the system state?
      • The state of some self-organizing systems can be easily modeled (firefly sync)
      • The state of other self-organizing systems cannot be modeled, they exhibit chaotic behavior, which makes it impossible to predict future states.


  • Malicious nodes, faults, defects
  • Rare events may lead to major global effects. Repeatability of results
  • Testing:
      • Testing a proposed self-organizing system with respect to a given goal can be difficult (many entities, large operational range)

Ideas

  • "Immune system" as an umbrella around self-organizing system
  • Optimize probability to end up in desired state

Side note

  • Heylighen: "interaction pattern are not specified"