Difference between revisions of "Group 2"
From Self-Organization Wiki
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===Challenges=== | ===Challenges=== | ||
* '''General''': How to achieve local rules form global properties? | * '''General''': How to achieve local rules form global properties? | ||
− | * Stochastic | + | * Stochastic input |
+ | * Description of complex current state is impossible, which makes it impossible to predict future states. | ||
* Repeatability of results | * Repeatability of results | ||
* Malicious nodes, faults, defects | * Malicious nodes, faults, defects | ||
− | + | * Rare events may lead to major global effects | |
* '''Modeling and design''' | * '''Modeling and design''' | ||
* '''Testing''' a proposed self-organizing system with respect to a given goal can be difficult (many entities, large operational range) | * '''Testing''' a proposed self-organizing system with respect to a given goal can be difficult (many entities, large operational range) | ||
Line 11: | Line 12: | ||
===Ideas=== | ===Ideas=== | ||
* "Immune system" as an umbrella around self-organizing system | * "Immune system" as an umbrella around self-organizing system | ||
+ | * Optimize probability to end up in desired state |
Revision as of 10:50, 12 July 2010
Challenges
- General: How to achieve local rules form global properties?
- Stochastic input
- Description of complex current state is impossible, which makes it impossible to predict future states.
- Repeatability of results
- Malicious nodes, faults, defects
- Rare events may lead to major global effects
- Modeling and design
- 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