Difference between revisions of "Group 2"
From Self-Organization Wiki
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===Challenges=== | ===Challenges=== | ||
| − | * '''General''': How to | + | * '''General''': How to design ''local rules'' achieving the desired ''global properties''? Non-trivial but approaches exist. |
* '''Chaos nature''': Stochastic input. Description of complex current state is impossible, which makes it impossible to predict future states. | * '''Chaos nature''': Stochastic input. Description of complex current state is impossible, which makes it impossible to predict future states. | ||
| − | * | + | * '''Communication''': |
| + | * | ||
* Malicious nodes, faults, defects | * Malicious nodes, faults, defects | ||
| − | * Rare events may lead to major global effects | + | * Rare events may lead to major global effects. Repeatability of results |
* '''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) | ||
Revision as of 11:56, 12 July 2010
Challenges
- General: How to design local rules achieving the desired global properties? Non-trivial but approaches exist.
- Chaos nature: Stochastic input. Description of complex current state is impossible, which makes it impossible to predict future states.
- Communication:
- Malicious nodes, faults, defects
- Rare events may lead to major global effects. Repeatability of results
- 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
