[This is preliminary documentation and is subject to change.]

The ParameterSettingModule..::..ParameterSettingModuleParameters type exposes the following members.

Properties

  Name Description
Public property DELETION_FREQUENCY
The frequency (in terms of # of learning steps) in which deletions by density are to be performed
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..DELETION_FREQUENCY.)
Public property DISCOUNT
The match discount factor to be applied at the end of an episode
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..DISCOUNT.)
Public property FIXED_BL_LEVEL_SELECTION_MEASURE
The fixed selection measure for the bottom level
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..FIXED_BL_LEVEL_SELECTION_MEASURE.)
Public property FIXED_RER_LEVEL_SELECTION_MEASURE
The fixed selection measure for the RER rules
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..FIXED_RER_LEVEL_SELECTION_MEASURE.)
Protected property IsGlobal
Used to specify whether the particular instance of the parameters class is being used for global or local parameters
(Inherited from MetaCognitiveModule..::..MetaCognitiveModuleParameters.)
Public property 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.)
Public property 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.)
Public property PERFORM_BL_LEARNING
Specifies whether or not bottom level learning should be performed
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..PERFORM_BL_LEARNING.)
Public property PERFORM_DELETION_BY_DENSITY
Specifies whether or not intermittent rule deletion by density should be performed
(Inherited from MetaCognitiveModule..::..MetaCognitiveModuleParameters.)
Public property 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.)
Public property PERFORM_REFINEMENT
Specifies whether or not rule refinement should be performed
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..PERFORM_REFINEMENT.)
Public property PERFORM_RULE_EXTRACTION
Specifies whether or not rule extraction should be performed
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..PERFORM_RULE_EXTRACTION.)
Public property PERFORM_TOP_DOWN_LEARNING
Specifies whether or not top-down learning should be performed
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..PERFORM_TOP_DOWN_LEARNING.)
Public property PERSISTENCE
The persistence factor for the previous selection
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..PERSISTENCE.)
Public property POSITIVE_MATCH_THRESHOLD
The threshold for the positive match criterion of the top and bottom level component collections
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..POSITIVE_MATCH_THRESHOLD.)
Public property SELECTION_TEMPERATURE
The temperature for stochastic selection
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..SELECTION_TEMPERATURE.)
Public property SELECTION_THRESHOLD
The threshold for stochastic selection
(Overrides MetaCognitiveModule..::..MetaCognitiveModuleParameters..::..SELECTION_THRESHOLD.)

See Also