Difference between revisions of "Challenges in Engineering Self-Organizing Systems"

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* '''Design of emergence''':
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** How to design ''local rules'' achieving the desired ''global properties''?
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** Non-trivial but approaches exist.
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* '''Design of the communication / interaction protocol''':
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** Degrees of freedom and adaptability
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* '''Simple versus chaotic behavior''': 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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* '''Robustness issues'''
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** Malicious nodes, faults, defects
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* '''Testing''':
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** It can be very difficult to test a proposed self-organizing system with respect to a given goal (many entities, large operational range, chaotic behavior)
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** Rare events may lead to major global effects.
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** Repeatability of results
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* '''User aspects'''
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** To what extend can today’s systems be replaced or complemented by self-organizing systems, taking into account
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*** constraints and acceptance of the technology and
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*** risks for users?
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==Documents from group work==
 
==Documents from group work==
 
* [[Group 2]]
 
* [[Group 2]]

Revision as of 14:55, 12 July 2010

  • Design of emergence:
    • How to design local rules achieving the desired global properties?
    • Non-trivial but approaches exist.
  • Design of the communication / interaction protocol:
    • Degrees of freedom and adaptability
  • Simple versus chaotic behavior: 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.
  • Robustness issues
    • Malicious nodes, faults, defects
  • Testing:
    • It can be very difficult to test a proposed self-organizing system with respect to a given goal (many entities, large operational range, chaotic behavior)
    • Rare events may lead to major global effects.
    • Repeatability of results
  • User aspects
    • To what extend can today’s systems be replaced or complemented by self-organizing systems, taking into account
      • constraints and acceptance of the technology and
      • risks for users?


Documents from group work

Examples of self-organizing behavior in technology