[This is preliminary documentation and is subject to change.]
The ParameterSettingModule..::..ParameterSettingModuleParameters type exposes the following members.
Properties
Name | Description | |
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DELETION_FREQUENCY |
The frequency (in terms of # of learning steps) in which deletions by density are to be performed
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..DELETION_FREQUENCY.) |
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DISCOUNT |
The match discount factor to be applied at the end of an episode
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..DISCOUNT.) |
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FIXED_BL_LEVEL_SELECTION_MEASURE |
The fixed selection measure for the bottom level
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..FIXED_BL_LEVEL_SELECTION_MEASURE.) |
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FIXED_RER_LEVEL_SELECTION_MEASURE |
The fixed selection measure for the RER rules
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..FIXED_RER_LEVEL_SELECTION_MEASURE.) |
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IsGlobal |
Used to specify whether the particular instance of the parameters class is being used for global or local parameters
(Inherited from MetaCognitiveModule..::..MetaCognitiveModuleParameters.) |
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OPERATION_OPTION |
Specifies how the parameter setting module should set parameters (i.e., use the chosen parameter change action chunk or all parameter change action chunks)
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..OPERATION_OPTION.) |
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OUTCOME_ACTIVATION_OPTION |
Specifies how VARIABLE parameter changes should be set (i.e, using the action strength or the maximum Q-value for each "parameter change" dimension-value pair
within a parameter change action chunk
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..OUTCOME_ACTIVATION_OPTION.) |
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PERFORM_BL_LEARNING |
Specifies whether or not bottom level learning should be performed
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..PERFORM_BL_LEARNING.) |
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PERFORM_DELETION_BY_DENSITY |
Specifies whether or not intermittent rule deletion by density should be performed
(Inherited from MetaCognitiveModule..::..MetaCognitiveModuleParameters.) |
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PERFORM_LEARNING |
Specifies whether or not learning in general (including extraction, refinement, bottom-level learning, deletion by density, etc.)
should be performed
(Inherited from MetaCognitiveModule..::..MetaCognitiveModuleParameters.) |
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PERFORM_REFINEMENT |
Specifies whether or not rule refinement should be performed
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..PERFORM_REFINEMENT.) |
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PERFORM_RULE_EXTRACTION |
Specifies whether or not rule extraction should be performed
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..PERFORM_RULE_EXTRACTION.) |
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PERFORM_TOP_DOWN_LEARNING |
Specifies whether or not top-down learning should be performed
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..PERFORM_TOP_DOWN_LEARNING.) |
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PERSISTENCE |
The persistence factor for the previous selection
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..PERSISTENCE.) |
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POSITIVE_MATCH_THRESHOLD |
The threshold for the positive match criterion of the top and bottom level component collections
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..POSITIVE_MATCH_THRESHOLD.) |
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SELECTION_TEMPERATURE |
The temperature for stochastic selection
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..SELECTION_TEMPERATURE.) |
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SELECTION_THRESHOLD |
The threshold for stochastic selection
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..SELECTION_THRESHOLD.) |