Difference between revisions of "Group 2"
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===Challenges=== | ===Challenges=== | ||
− | * ''' | + | |
+ | * '''Design of emergence''': | ||
** How to design ''local rules'' achieving the desired ''global properties''? | ** How to design ''local rules'' achieving the desired ''global properties''? | ||
+ | ** Communication pattern | ||
** Non-trivial but approaches exist. | ** 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 | * 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 | ||
− | * ''' | + | |
− | * | + | * '''Testing''': |
+ | *** 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
Contents
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.
- Can we describe the system state?
- 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"