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

The MetaCognitiveModule..::..MetaCognitiveModuleParameters 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
Public property DISCOUNT
The match discount factor to be applied at the end of an episode
Public property FIXED_BL_LEVEL_SELECTION_MEASURE
The fixed selection measure for the bottom level
Public property FIXED_RER_LEVEL_SELECTION_MEASURE
The fixed selection measure for the RER rules
Protected property IsGlobal
Used to specify whether the particular instance of the parameters class is being used for global or local parameters
Protected property Static member ParameterChange_EventInvoked
Used to specify that a global parameter change event in in progress
Public property PERFORM_BL_LEARNING
Specifies whether or not bottom level learning should be performed
Public property PERFORM_REFINEMENT
Specifies whether or not rule refinement should be performed
Public property PERFORM_RULE_EXTRACTION
Specifies whether or not rule extraction should be performed
Public property PERFORM_TOP_DOWN_LEARNING
Specifies whether or not top-down learning should be performed
Public property PERSISTENCE
The persistence factor for the previous selection
Public property POSITIVE_MATCH_THRESHOLD
The threshold for the positive match criterion of the top and bottom level component collections
Public property SELECTION_TEMPERATURE
The temperature for stochastic selection
Public property SELECTION_THRESHOLD
The threshold for stochastic selection
Public property SetMetaCognitiveActionRuleStore
Sets the meta-cognitive action rule store for the module to which this parameters class is associated (used for turning on/off RER rule refinement)

See Also