01_user_documentation:06_graph:05_derivation:04_modes:02_parallel_non_deterministic_mode
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| 01_user_documentation:06_graph:05_derivation:04_modes:02_parallel_non_deterministic_mode [2025/12/17 12:32] – Tim | 01_user_documentation:06_graph:05_derivation:04_modes:02_parallel_non_deterministic_mode [2025/12/17 12:40] (current) – Tim | ||
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| The parallel non-deterministic derivation mode ensures that a single node is deleted by at most one actual rule application. If several rule applications delete the same node, one actual application is chosen pseudo-randomly. | The parallel non-deterministic derivation mode ensures that a single node is deleted by at most one actual rule application. If several rule applications delete the same node, one actual application is chosen pseudo-randomly. | ||
| + | ====== ====== | ||
| + | Assuming to apply a rule set: | ||
| + | < | ||
| + | A ==> B A | ||
| + | A ==> C A | ||
| + | A ==> A A | ||
| + | </ | ||
| + | on an axiom '' | ||
| + | |||
| + | could result after two steps in: | ||
| + | * '' | ||
| + | * '' | ||
| + | * '' | ||
| + | * '' | ||
| + | * '' | ||
| + | * ... | ||
| + | |||
| + | Because at any step the software pics randomly one of the possible rules for A and applies it. | ||
| + | |||
01_user_documentation/06_graph/05_derivation/04_modes/02_parallel_non_deterministic_mode.txt · Last modified: 2025/12/17 12:40 by Tim
