[This is preliminary documentation and is subject to change.]
The NonActionCenteredSubsystem..::..NonActionCenteredSubsystemParameters type exposes the following members.
Properties
Name | Description | |
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BOTTOM_LEVEL_WEIGHT |
The weight by which bottom level activations are applied following a reasoning iteration
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CONCLUSION_THRESHOLD |
The threshold conclusions must pass to be inferred
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K |
The number of conclusions to be returned (when KWTA is used)
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KWTA_SELECTION_TEMPERATURE |
The temperature to use for stochastically selecting conclusions (when KWTA is used)
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OFFLINE_LEARNING_FREQUENCY |
The frequency in which a check is made to see whether "offline" learning should occur
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REASONING_ITERATION_COUNT |
The number of reasoning iterations to perform
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RESET_BEFORE_REASONING_ROUND |
Indicates whether the current state of the NACS's reasoning mechanism (as set by the previous round of reasoning) should be reset before a new round of reasoning is started
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RETURN_INPUTS_AS_CONCLUSIONS |
Specifies whether chunks, included as part of the input into the NACS's reasoning mechanism, should be returned as part of the conclusions from reasoning
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RULE_DELETION_FREQUENCY |
The frequency in which associative rule deletion should occur
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TOP_LEVEL_WEIGHT |
The weight by which top level activations are applied following a reasoning iteration
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USE_BOTTOM_LEVEL |
Specifies whether or not the bottom level of the NACS's reasoning mechanism should be used
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USE_KWTA |
Specifies whether the "K Winner Take All" selection method should be used before conclusions are returned from reasoning
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USE_TOP_LEVEL |
Specifies whether or not the top level of the NACS's reasoning mechanism should be used
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