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Clarion Library 6.1.1
MetaCognitiveModule..::..MetaCognitiveModuleParameters Properties
MetaCognitiveModule..::..MetaCognitiveModuleParameters Class See Also Send Feedback

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

The MetaCognitiveModule..::..MetaCognitiveModuleParameters type exposes the following members.

# Properties

| Name | Description
--- | --- | ---
| DELETION_FREQUENCY | The frequency (in terms of # of learning steps) in which deletions by density are to be performed
| DISCOUNT | The match discount factor to be applied at the end of an episode
| FIXED_BL_LEVEL_SELECTION_MEASURE | The fixed selection measure for the bottom level
| FIXED_RER_LEVEL_SELECTION_MEASURE | The fixed selection measure for the RER rules
| IsGlobal | Used to specify whether the particular instance of the parameters class is being used for global or local parameters
| OPERATION_OPTION | Specifies the type of operation that is being performed by the module (for use in InterpretMetaCognition(LocalEpisodicMemoryTuple))
| OUTCOME_ACTIVATION_OPTION | Specifies how the activation(s) for the module's outcome should be set (for use in InterpretMetaCognition(LocalEpisodicMemoryTuple))
| ParameterChange_EventInvoked | Used to specify that a global parameter change event in in progress
| PERFORM_BL_LEARNING | Specifies whether or not bottom level learning should be performed
| PERFORM_DELETION_BY_DENSITY | Specifies whether or not intermittent rule deletion by density should be performed
| PERFORM_LEARNING | Specifies whether or not learning in general (including extraction, refinement, bottom-level learning, deletion by density, etc.) should be performed
| PERFORM_REFINEMENT | Specifies whether or not rule refinement should be performed
| PERFORM_RULE_EXTRACTION | Specifies whether or not rule extraction should be performed
| PERFORM_TOP_DOWN_LEARNING | Specifies whether or not top-down learning should be performed
| PERSISTENCE | The persistence factor for the previous selection
| POSITIVE_MATCH_THRESHOLD | The threshold for the positive match criterion of the top and bottom level component collections
| SELECTION_TEMPERATURE | The temperature for stochastic selection
| SELECTION_THRESHOLD | The threshold for stochastic selection

# See Also

MetaCognitiveModule..::..MetaCognitiveModuleParameters Class
Clarion.Framework.Templates Namespace