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G
GAIN
- Variable in class clarion.system.
BehavioralApproachSystem
The gain for the BAS
GAIN
- Variable in class clarion.system.
BehavioralInhibitionSystem
The gain for the BIS
GAIN
- Variable in class clarion.system.
Drive
The gain for the particular drive
GAIN
- Variable in class clarion.system.
NeitherBehavioralSystem
The system gain for the drives that belong to neither behavioral system.
GENERALIZATION_THRESHOLD1
- Variable in class clarion.system.
RuleRefiner
The threshold IG(C,All) must pass for a rule to be generalized
GENERALIZATION_THRESHOLD2
- Variable in class clarion.system.
RuleRefiner
The threshold IG(C',C) must pass for a rule to be generalized
generalize(AbstractRule)
- Method in class clarion.system.
RuleRefiner
Generalizes the specified rule (if possible).
GeneralizedConditionChunk
- Class in
clarion.system
This class implements a generalized condition chunk within CLARION.
GeneralizedConditionChunk()
- Constructor for class clarion.system.
GeneralizedConditionChunk
Initializes a condition.
GeneralizedConditionChunk(Collection<? extends Dimension>)
- Constructor for class clarion.system.
GeneralizedConditionChunk
Initializes a condition with the collection of dimensions specified.
GeneralizedConditionChunk(Map<? extends Object, ? extends Dimension>)
- Constructor for class clarion.system.
GeneralizedConditionChunk
Initializes the condition with the map of dimensions.
generateCurrentInput(DimensionValueCollection)
- Method in class clarion.system.
CLARION
Generates the current input to use inside of CLARION given the current sensory information, the current goal, and the items in working memory.
generateMatchAllRule(AbstractAction)
- Method in class clarion.system.
ACS
Generates a match all rule associated with the specified action and adds it to the list of match all rules.
generateVariations(RefineableRule)
- Method in class clarion.system.
RuleCollection
Generates variations for the rule r and adds any variations that are not already in the variations list to that list.
GenericStochasticObject
- Class in
clarion.system
This class implements a generic stochastic object within CLARION.
GenericStochasticObject(double)
- Constructor for class clarion.system.
GenericStochasticObject
Initializes a generic stochastic object with the specified measure.
get(GeneralizedConditionChunk, AbstractAction)
- Method in class clarion.system.
HiddenRuleCollection
Gets a rule in the collection that matches the specified condition and action.
get(GeneralizedConditionChunk, AbstractAction)
- Method in class clarion.system.
RuleCollection
Gets a rule in the collection that matches the specified condition and action.
get(Object)
- Method in class clarion.system.
WorkingMemory
Gets the chunk from working memory with the specified ID.
getACS()
- Method in class clarion.system.
CLARION
Gets the ACS.
getACSLevelProbabilitySettingModule()
- Method in class clarion.system.
MCS
Gets the ACS level probability setting module.
getAction()
- Method in class clarion.system.
AbstractRule
Gets the action of the rule.
getActivation()
- Method in class clarion.system.
AbstractOutputChunk
Gets the activation level.
getActivation()
- Method in class clarion.system.
Value
Gets the activation level for this value.
getAge()
- Method in class clarion.system.
CLARION
Gets the age (the number of time steps since this instance of CLARION was initialized) of the agent.
getAllDrives()
- Method in class clarion.system.
MS
Gets the all the drives in the MS.
getAllDriveStrengths()
- Method in class clarion.system.
MS
Gets all of the drive strength objects for the drives in the MS.
getBAS()
- Method in class clarion.system.
MS
Gets the BAS.
getBASDrives()
- Method in class clarion.system.
MS
Gets the drives in the behavioral approach system.
getBASDriveStrengths()
- Method in class clarion.system.
MS
Gets the drive strengths for the drives in the behavioral approach system.
getBirthdate()
- Method in class clarion.system.
CLARION
Gets the birthdate (the time stamp when this instance of CLARION was initialized) of the agent.
getBIS()
- Method in class clarion.system.
MS
Gets the BIS.
getBISDrives()
- Method in class clarion.system.
MS
Gets the drives in the behavioral inhibition system.
getBISDriveStrengths()
- Method in class clarion.system.
MS
Gets the drive strengths for the drives in the behavioral inhibition system.
getBLA()
- Method in class clarion.system.
AbstractExplicitModule
Gets the BLA.
getBLA()
- Method in class clarion.system.
AbstractOutputChunk
Gets the BLA of this chunk.
getBLA()
- Method in interface clarion.system.
InterfaceTracksTime
getBLImplicitModules()
- Method in class clarion.system.
ACS
Gets all of the bottom level implicit modules.
getBLImplicitModuleStore()
- Method in class clarion.system.
ACS
Gets the collection holding the bottom level implicit modules.
getBLSelectionMeasure()
- Method in class clarion.system.
AbstractOutputChunk
Gets the bottom level selection measure.
getBoltzmannProbability(Collection<? extends InterfaceStochasticallySelectable>, InterfaceStochasticallySelectable)
- Method in class clarion.system.
StochasticSelector
Gets the BoltzmannProbability of a specified stochastically selectable object given a collection of stochastically selectable objects.
getBothDrives()
- Method in class clarion.system.
MS
Gets the drives that are in both the BAS and BIS.
getBothDriveStrengths()
- Method in class clarion.system.
MS
Gets the drive strengths for the drives that are in both the BAS and BIS.
getBottomLevelProbability(DriveStrengthCollection)
- Method in class clarion.system.
ACSLevelProbabilitySettingModule
Gets the probability of using the bottom level of the ACS given the drive strengths specified.
getChildren()
- Method in class clarion.system.
AbstractRule
Gets a collection of the children of this rule.
getChildren()
- Method in class clarion.system.
RuleCollection
Gets the child rules from the rule collection.
getChosenAction()
- Method in class clarion.system.
ACS
Get the last action chosen by the ACS.
getChosenOutput()
- Method in class clarion.system.
AbstractImplicitModule
Gets the chosen output that was last provided to the implicit module.
getChosenOutput()
- Method in interface clarion.system.
InterfaceUsesQLearning
Gets the chosen output from the previous time step.
getCondition()
- Method in class clarion.system.
AbstractRule
Gets the condition of the rule.
getCover(GeneralizedConditionChunk, AbstractAction)
- Method in class clarion.system.
RuleCollection
Gets a rule in the collection that covers the specified condition and action.
getCurrentGoal()
- Method in class clarion.system.
CLARION
Gets the current goal.
getCurrentGoal()
- Method in class clarion.system.
GoalStructure
Gets the current goal.
getDeficit()
- Method in class clarion.system.
Drive
Gets the deficit level.
getDiscount()
- Method in interface clarion.system.
InterfaceUsesQLearning
Gets the discount factor that is used as part of the Q-learning algorithm (see Sun Tutorial, 2003).
getDiscount()
- Method in class clarion.system.
QBPNet
getDrive(Object)
- Method in class clarion.system.
MS
Gets the drive with the specified ID.
getDriveStrength()
- Method in class clarion.system.
Drive
Gets the drive strength object associated with this drive.
getDriveStrength(Object)
- Method in class clarion.system.
MS
Gets the drive strength for the drive with the specified ID.
getDriveStrengths()
- Method in class clarion.system.
DriveCollection
Gets the drive strength objects associated with the drives in this drive collection.
getExternalActions()
- Method in class clarion.system.
ActionCollection
Gets the external actions in this collection.
getFeedback()
- Method in class clarion.system.
AbstractEquation
Gets the immediate feedback that was last provided to the equation.
getFeedback()
- Method in class clarion.system.
AbstractRule
Gets the immediate feedback that was last provided to the rule.
getFeedback()
- Method in class clarion.system.
AbstractRuntimeTrainableBPNet
Gets the immediate feedback that was last provided to the rule.
getFeedback()
- Method in class clarion.system.
AbstractRuntimeTrainableImplicitModule
Gets the immediate feedback that was last provided to the rule.
getFeedback()
- Method in class clarion.system.
ImplicitModuleCollection
Gets the feedback.
getFeedback()
- Method in interface clarion.system.
InterfaceHandlesFeedback
Gets the feedback.
getFeedback()
- Method in class clarion.system.
RuleCollection
Gets the feedback.
getFinalSelectionMeasure()
- Method in class clarion.system.
AbstractOutputChunk
Gets the final selection measure used for stochastic selection.
getFinalSelectionMeasure()
- Method in class clarion.system.
GenericStochasticObject
Gets the selection measure.
getFinalSelectionMeasure()
- Method in interface clarion.system.
InterfaceStochasticallySelectable
Gets the final selection measure used for stochastic selection.
getFixedRules()
- Method in class clarion.system.
ACS
Gets all of the fixed rules in the rule store.
getFixedRuleStore()
- Method in class clarion.system.
ACS
Gets the subset of the rule store that holds the FR rules.
getGoalActions()
- Method in class clarion.system.
ActionCollection
Gets the goal actions in this collection.
getGoalSelectionModule()
- Method in class clarion.system.
MCS
Gets the goal selection module.
getGoalStructure()
- Method in class clarion.system.
CLARION
Gets the goal structure.
getHiddenThresholds()
- Method in class clarion.system.
AbstractNeuralNet
Gets the hidden layer thresholds.
getHtoOWeightMatrix()
- Method in class clarion.system.
AbstractNeuralNet
Gets the hidden to output layer weight matrix.
getID()
- Method in class clarion.system.
AbstractChunk
Gets the ID of this chunk.
getID()
- Method in class clarion.system.
Dimension
Gets the ID of this dimension.
getID()
- Method in class clarion.system.
Drive
Gets the ID of this drive.
getID()
- Method in class clarion.system.
Value
Gets the ID of this value.
getImplicitModule()
- Method in class clarion.system.
ACSLevelProbabilitySettingModule
Gets the implicit module used by this module.
getImplicitModule()
- Method in class clarion.system.
Drive
Gets the implicit module for this drive.
getImplicitModule()
- Method in class clarion.system.
GoalSelectionModule
Gets the implicit module used by this module.
getInitialDeficit()
- Method in class clarion.system.
Drive
Gets the level of the initial deficit.
getInput()
- Method in class clarion.system.
AbstractImplicitModule
Gets the input nodes in the form of a dimension-value collection.
getInputSpace()
- Method in class clarion.system.
CLARION
Gets the internal representation of the input space from this instance of CLARION.
getInternalInputSpace()
- Method in class clarion.system.
CLARION
Gets the internal representation of the input space from this instance of CLARION.
getIRLRules()
- Method in class clarion.system.
ACS
Gets all of the IRL rules in the rule store.
getIRLRuleStore()
- Method in class clarion.system.
ACS
Gets the subset of the rule store that holds the IRL rules.
getItoHWeightMatrix()
- Method in class clarion.system.
AbstractNeuralNet
Gets the input to hidden layer weight matrix.
getLastAction()
- Method in class clarion.system.
CLARION
Gets the last action chosen by this instance of CLARION.
getLowerBound()
- Method in class clarion.tools.
Range
Gets the lower bound of the range.
getMatchAll()
- Method in class clarion.system.
RefineableRule
Gets the match all rule related to this rule.
getMatchAllRule(AbstractAction)
- Method in class clarion.system.
ACS
Gets the match all rule associated with the specified action.
getMatchCalculator()
- Method in interface clarion.system.
InterfaceHasMatchCalculator
Gets the match calculator used by the class.
getMatchCalculator()
- Method in class clarion.system.
QBPNet
getMaxActivation()
- Method in class clarion.system.
Dimension
Gets the activation level of the value with the highest activation in this dimension.
getMaxQ()
- Method in interface clarion.system.
InterfaceUsesQLearning
Gets the maximum Q-value for the new time step.
getMaxQ()
- Method in class clarion.system.
QBPNet
Gets the value of Max(Q(y,b)) where y is equal to the new state.
getMaxVariationMinusOne(RuleRefiner)
- Method in class clarion.system.
RefineableRule
Gets the rule variation (containing 1 less activated dimension-value pair) with the maximum information gain compared to this rule.
getMaxVariationPlusOne(RuleRefiner)
- Method in class clarion.system.
RefineableRule
Gets the rule variation (containing 1 additional activated dimension-value pair) with the maximum information gain compared to this rule.
getMCS()
- Method in class clarion.system.
CLARION
Gets the MCS.
getMeanSumOfSquaredErrors()
- Method in class clarion.tools.
TrainableImplicitModulePreTrainer.SumSquaredErrorTracker
Gets the mean sum of squared errors.
getMS()
- Method in class clarion.system.
CLARION
Gets the MS.
getNACS()
- Method in class clarion.system.
CLARION
Gets the NACS.
getNeitherDrives()
- Method in class clarion.system.
MS
Gets the drives that have been specified as being in neither behavioral system.
getNeitherDriveStrengths()
- Method in class clarion.system.
MS
Gets the drive strengths for the drives that have been specified as being in neither behavioral system.
getNeitherSystem()
- Method in class clarion.system.
MS
Gets the system for drives that belong to neither behavioral system.
getNewInput()
- Method in interface clarion.system.
InterfaceHandlesNewInput
Gets the new inputs.
getNewInput()
- Method in class clarion.system.
QBPNet
Returns the new input in the form of a dimension-value collection.
getNM()
- Method in class clarion.system.
AbstractRule
Gets the negative match statistic.
getNM()
- Method in class clarion.system.
AbstractRuntimeTrainableBPNet
Gets the negative match statistic.
getNM()
- Method in class clarion.system.
AbstractRuntimeTrainableImplicitModule
Gets the negative match statistic.
getNM()
- Method in class clarion.system.
ImplicitModuleCollection
Gets the negative match statistic.
getNM()
- Method in interface clarion.system.
InterfaceTracksMatchStatistics
Gets the negative match (NM) statistic.
getNM()
- Method in class clarion.system.
RuleCollection
Gets the negative match statistic.
getNumActivatedVals()
- Method in class clarion.system.
Dimension
Gets the number of values in this dimension that are at least minimally activated.
getNumChildren()
- Method in class clarion.system.
AbstractRule
Gets the number of child rules in top level of the child rule tree.
getNumDrives()
- Method in class clarion.system.
MS
Gets the number of drives in the MS.
getNumDVPairs()
- Method in class clarion.system.
DimensionValueCollection
Gets the number of dimension-value pairs.
getNumFullyActivatedVals()
- Method in class clarion.system.
Dimension
Gets the number of fully activated values in this dimension.
getNumHidden()
- Method in class clarion.system.
AbstractNeuralNet
Gets the number of hidden nodes.
getNumInput()
- Method in class clarion.system.
AbstractImplicitModule
Gets the number of input nodes.
getNumOutput()
- Method in class clarion.system.
AbstractImplicitModule
Gets the number of output nodes.
getNumPossibleGoals()
- Method in class clarion.system.
GoalStructure
Gets the number of possible goals.
getNumSpecializedWMChunks()
- Method in class clarion.system.
WorkingMemory
Gets the number of specialized working memory chunks.
getNumVariations()
- Method in class clarion.system.
RefineableRule
Gets the number of rule variations this rule has.
getOutput(Object)
- Method in class clarion.system.
AbstractImplicitModule
Gets the output chunk with the specified ID.
getOutput()
- Method in class clarion.system.
AbstractImplicitModule
Gets the current output.
getOutputThresholds()
- Method in class clarion.system.
AbstractNeuralNet
Gets the output layer thresholds.
getPM()
- Method in class clarion.system.
AbstractRule
Gets the positive match statistic.
getPM()
- Method in class clarion.system.
AbstractRuntimeTrainableBPNet
Gets the positive match statistic.
getPM()
- Method in class clarion.system.
AbstractRuntimeTrainableImplicitModule
Gets the positive match statistic.
getPM()
- Method in class clarion.system.
ImplicitModuleCollection
Gets the positive match statistic.
getPM()
- Method in interface clarion.system.
InterfaceTracksMatchStatistics
Gets the positive match (PM) statistic.
getPM()
- Method in class clarion.system.
RuleCollection
Gets the positive match statistic.
getPossibleActions()
- Method in class clarion.system.
ACS
Gets all of the possible actions.
getPossibleGoals()
- Method in class clarion.system.
GoalStructure
Gets a collection of the possible goals.
getRelevance(Object)
- Method in class clarion.system.
Goal
Gets the relevance to the goal of the drive with the specified ID.
getRERRules()
- Method in class clarion.system.
ACS
Gets all of the RER rules in the rule store.
getRERRuleStore()
- Method in class clarion.system.
ACS
Gets the subset of the rule store that holds the RER rules.
getResponseTime()
- Method in class clarion.system.
AbstractExplicitModule
Gets the response time.
getResponseTime()
- Method in class clarion.system.
AbstractImplicitModule
Gets the response time for the implicit module.
getRules()
- Method in class clarion.system.
HiddenRuleCollection
Gets all of the rules in the rule collection.
getRules()
- Method in class clarion.system.
RuleCollection
Gets all of the rules in the rule collection.
getSpecializedWMChunk(Object)
- Method in class clarion.system.
WorkingMemory
Gets the chunk from the specialized working memory chunk list with the specified ID.
getSpecializedWMChunk(int)
- Method in class clarion.system.
WorkingMemory
Gets the chunk from the specialized working memory chunk list at the specified Index.
getSpecializedWMChunks()
- Method in class clarion.system.
WorkingMemory
Gets a collection of the specialized working memory chunks.
getStrength(Collection<? extends Dimension>)
- Method in class clarion.system.
GeneralizedConditionChunk
Gets the strength of the condition based on the current input.
getSubGoals()
- Method in class clarion.system.
Goal
Gets sub goals of this goal.
getSuccessRate()
- Method in class clarion.system.
TableLookup
Gets the success rate.
getSumSqErrors()
- Method in class clarion.system.
AbstractTrainableImplicitModule
Gets the sum of squared errors.
getSumSqErrors()
- Method in interface clarion.system.
InterfaceTrainable
Gets the sum of squared errors.
getSupport(DimensionValueCollection)
- Method in class clarion.system.
AbstractExplicitModule
getSupport(DimensionValueCollection)
- Method in class clarion.system.
AbstractFixedRule
Performs the user specified operations for the fixed rule.
getSupport(DimensionValueCollection)
- Method in class clarion.system.
AbstractIRLRule
Determines the rule support for the IRL rule.
getSupport(DimensionValueCollection)
- Method in class clarion.system.
AbstractRule
Gets the support based on the current input.
getTLSelectionMeasure()
- Method in class clarion.system.
AbstractOutputChunk
Gets the top level selection measure.
getTopLevelProbability(DriveStrengthCollection)
- Method in class clarion.system.
ACSLevelProbabilitySettingModule
Gets the probability of using the top level of the ACS given the drive strengths specified.
getUpperBound()
- Method in class clarion.tools.
Range
Gets the upper bound of the range.
getUtility()
- Method in class clarion.system.
AbstractExplicitModule
getUtility()
- Method in class clarion.system.
AbstractFixedRule
Gets the utility for this fixed rule.
getUtility()
- Method in class clarion.system.
AbstractRule
Gets the utility.
getUtility(double)
- Method in class clarion.system.
AbstractRule
Gets the utility using the equation option and the specified average response time.
getValueCollection()
- Method in class clarion.system.
DimensionValueCollection
Gets a collection containing all of the values within the dimension-value collection.
getVariations()
- Method in class clarion.system.
RefineableRule
Gets a collection of the variations of this rule.
getVariations()
- Method in class clarion.system.
RuleCollection
Gets the rule variations from the rule collection.
getWeight()
- Method in class clarion.system.
GeneralizedConditionChunk
Gets the weight of the condition.
getWMActions()
- Method in class clarion.system.
ActionCollection
Gets the working memory actions in this collection.
getWorkingMemory()
- Method in class clarion.system.
CLARION
Gets the working memory.
GLOABAL_C2
- Static variable in class clarion.system.
RuleRefiner
Constant for Information Gain
GLOBAL_A
- Static variable in class clarion.system.
ACSLevelProbabilitySettingEquation
The constant A used in the level probability setting equation.
GLOBAL_ACTIVATION_EPSILON
- Static variable in class clarion.system.
Value
How close two activations must be in order to be considered equal.
GLOBAL_ACTUATION_TIME
- Static variable in class clarion.system.
AbstractExplicitModule
Actuation time.
GLOBAL_ACTUATION_TIME
- Static variable in class clarion.system.
AbstractImplicitModule
Actuation time.
GLOBAL_B
- Static variable in class clarion.system.
ACSLevelProbabilitySettingEquation
The constant B used in the level probability setting equation.
GLOBAL_BASELINE
- Static variable in class clarion.system.
Drive
The baseline for this particular drive
GLOBAL_BENEFIT_CONSTANT
- Static variable in class clarion.system.
AbstractRule
The constant to use for benefit when using the constant option for utility.
GLOBAL_C
- Static variable in class clarion.system.
AbstractExplicitModule
Constant c.
GLOBAL_C
- Static variable in class clarion.system.
AbstractOutputChunk
Constant c.
GLOBAL_C
- Static variable in class clarion.system.
ACSLevelProbabilitySettingEquation
The constant C used in the level probability setting equation.
GLOBAL_C1
- Static variable in class clarion.system.
RuleRefiner
Constant for Information Gain
GLOBAL_C7
- Static variable in class clarion.system.
AbstractRule
Benefit equation constant c7.
GLOBAL_C8
- Static variable in class clarion.system.
AbstractRule
Benefit equation constant c8.
GLOBAL_COST_CONSTANT
- Static variable in class clarion.system.
AbstractRule
The constant to use for cost when using the constant option for utility.
GLOBAL_D
- Static variable in class clarion.system.
AbstractExplicitModule
Constant d.
GLOBAL_D
- Static variable in class clarion.system.
AbstractOutputChunk
Constant d.
GLOBAL_DECISION_TIME
- Static variable in class clarion.system.
AbstractExplicitModule
Decision time.
GLOBAL_DECISION_TIME
- Static variable in class clarion.system.
AbstractImplicitModule
Decision time.
GLOBAL_DEFAULT_UTILITY
- Static variable in class clarion.system.
AbstractFixedRule
The default utility for the fixed rule.
GLOBAL_DEFICIT_CHANGE_RATE
- Static variable in class clarion.system.
Drive
The rate of change for the deficit.
GLOBAL_DENSITY
- Static variable in class clarion.system.
AbstractRule
The density (the minimum frequency needed to be kept)
GLOBAL_DISCOUNT
- Variable in class clarion.system.
QBPNet
The discount factor for q-learning.
GLOBAL_EXTERNAL_PROBABILITY
- Static variable in class clarion.system.
ACS
The probability of choosing an external action.
GLOBAL_EXTRACTION_PROBABILITY
- Static variable in class clarion.system.
RuleExtractor
The probability of extracting a rule
GLOBAL_FIXED_BL_COMB_WEIGHT
- Static variable in class clarion.system.
ACS
The fixed bottom level weight when level combination is used.
GLOBAL_FIXED_BL_PROBABILITY
- Static variable in class clarion.system.
ACS
The fixed probability of using the bottom level.
GLOBAL_FIXED_FR_COMB_WEIGHT
- Static variable in class clarion.system.
ACS
The fixed weight for a fixed rule when level combination is used.
GLOBAL_FIXED_FR_PROBABILITY
- Static variable in class clarion.system.
ACS
The fixed probability of using a fixed rule.
GLOBAL_FIXED_IRL_COMB_WEIGHT
- Static variable in class clarion.system.
ACS
The fixed IRL rule weight when level combination is used.
GLOBAL_FIXED_IRL_PROBABILITY
- Static variable in class clarion.system.
ACS
The fixed probability of using an IRL rule.
GLOBAL_FIXED_RER_COMB_WEIGHT
- Static variable in class clarion.system.
ACS
The fixed RER rule weight when level combination is used.
GLOBAL_FIXED_RER_PROBABILITY
- Static variable in class clarion.system.
ACS
The fixed probability of using an RER rule.
GLOBAL_FULL_ACTIVATION_LEVEL
- Static variable in class clarion.system.
AbstractOutputChunk
The level at which an output chunk is considered to be fully activated.
GLOBAL_FULL_ACTIVATION_THRESHOLD
- Static variable in class clarion.system.
Value
The threshold a dimension-value pair must be activated to in order to be considered fully activated.
GLOBAL_GAIN
- Static variable in class clarion.system.
BehavioralApproachSystem
The gain for the BAS
GLOBAL_GAIN
- Static variable in class clarion.system.
BehavioralInhibitionSystem
The gain for the BIS
GLOBAL_GAIN
- Static variable in class clarion.system.
Drive
The gain for the particular drive
GLOBAL_GAIN
- Static variable in class clarion.system.
NeitherBehavioralSystem
The system gain for the drives that belong to neither behavioral system.
GLOBAL_GENERALIZATION_THRESHOLD1
- Static variable in class clarion.system.
RuleRefiner
The threshold IG(C,All) must pass for a rule to be generalized
GLOBAL_GENERALIZATION_THRESHOLD2
- Static variable in class clarion.system.
RuleRefiner
The threshold IG(C',C) must pass for a rule to be generalized
GLOBAL_GOAL_LIST_CAPACITY
- Static variable in class clarion.system.
GoalStructure
The number of slots in the goal list.
GLOBAL_GOAL_PROBABILITY
- Static variable in class clarion.system.
ACS
The probability of choosing a goal action.
GLOBAL_IG_OPTION
- Static variable in class clarion.system.
RuleRefiner
The option to use when calculation information gain for IG(C,ALL)
GLOBAL_INCREMENT
- Static variable in class clarion.tools.
Range
The increment at which to traverse through the range
GLOBAL_INITIAL_BLA
- Static variable in class clarion.system.
AbstractExplicitModule
The initalBLA.
GLOBAL_INITIAL_BLA
- Static variable in class clarion.system.
AbstractOutputChunk
The initalBLA.
GLOBAL_LEARNING_RATE
- Static variable in class clarion.system.
BPNet
Learning rate.
GLOBAL_LEVEL_SELECTION_METHOD
- Static variable in class clarion.system.
ACS
Specifies the method to use for level selection.
GLOBAL_LEVEL_SELECTION_OPTION
- Static variable in class clarion.system.
ACS
Specifies the option to use for level selection.
GLOBAL_LOWER_INIT_THRESHOLD
- Static variable in class clarion.system.
AbstractNeuralNet
The low bound for the initial threshold.
GLOBAL_LOWER_INIT_WEIGHT
- Static variable in class clarion.system.
AbstractNeuralNet
The low bound for the initial weights.
GLOBAL_MATCH_DISCOUNT
- Static variable in class clarion.system.
ACS
The match discount factor.
GLOBAL_MATCH_DISCOUNT
- Static variable in class clarion.system.
ImplicitModuleCollection
The match discount factor.
GLOBAL_MCS_A
- Static variable in class clarion.system.
ACS
The constant A used to factor in the MCS measure when calculating the probability or weight of for the bottom level during level selection.
GLOBAL_MCS_B
- Static variable in class clarion.system.
ACS
The constant B used to factor in the MCS measure when calculating the probability or weight of for the bottom level during level selection.
GLOBAL_MINIMUM_ACTIVATION_THRESHOLD
- Static variable in class clarion.system.
AbstractOutputChunk
The minimum threshold an output chunk activation must be above to be considered activated.
GLOBAL_MINIMUM_ACTIVATION_THRESHOLD
- Static variable in class clarion.system.
Value
The minimum threshold a dimension-value pair activation must be above to be considered activated.
GLOBAL_MOMENTUM
- Static variable in class clarion.system.
BPNet
Momentum.
GLOBAL_NUM_TRAINING_REPEATS
- Static variable in class clarion.tools.
TrainableImplicitModulePreTrainer
The number of times to run through the training set before ending training.
GLOBAL_PARTIAL_MATCH_THRESHOLD
- Static variable in class clarion.system.
AbstractRule
The threshold the support must pass for the condition to be matched.
GLOBAL_PERCEPTION_TIME
- Static variable in class clarion.system.
AbstractExplicitModule
Perception time.
GLOBAL_PERCEPTION_TIME
- Static variable in class clarion.system.
AbstractImplicitModule
Perception time.
GLOBAL_PERFORM_BL_LEARNING
- Static variable in class clarion.system.
ACS
Specifies whether or not bottom level learning should be performed.
GLOBAL_PERFORM_EXTRACTION
- Static variable in class clarion.system.
ACS
Specifies whether or not extraction should be used.
GLOBAL_PERFORM_REFINEMENT_IRL
- Static variable in class clarion.system.
ACS
Specifies whether or not refinement should be used for IRL rules.
GLOBAL_PERFORM_REFINEMENT_RER
- Static variable in class clarion.system.
ACS
Specifies whether or not refinement should be used for RER rules.
GLOBAL_PERSISTENCE
- Static variable in class clarion.system.
AbstractOutputChunk
The persistence factor for the previous selection (if used).
GLOBAL_POSITIVE_MATCH_THRESHOLD
- Static variable in class clarion.system.
AbstractRule
The threshold that must be passed to meet the positive match criterion.
GLOBAL_POSITIVE_MATCH_THRESHOLD
- Static variable in class clarion.system.
AbstractRuntimeTrainableBPNet
The threshold for the positive match criterion.
GLOBAL_POSITIVE_MATCH_THRESHOLD
- Static variable in class clarion.system.
AbstractRuntimeTrainableImplicitModule
The threshold for the positive match criterion.
GLOBAL_POSITIVE_MATCH_THRESHOLD
- Static variable in class clarion.system.
ImplicitModuleCollection
The threshold that must be passed to meet the positive match criterion.
GLOBAL_POSITIVE_MATCH_THRESHOLD
- Static variable in class clarion.system.
RuleCollection
The threshold that must be passed to meet the positive match criterion.
GLOBAL_POSITIVE_MATCH_THRESHOLD
- Static variable in class clarion.system.
TableLookup
The threshold for the positive match criterion.
GLOBAL_PRINT_PROGRESS_TO_SYSTEM_OUT
- Static variable in class clarion.tools.
TrainableImplicitModulePreTrainer
Option for printing out the progress of training (false by default)
GLOBAL_RZERO
- Static variable in class clarion.system.
BPNet
Tolerance of error.
GLOBAL_SELECTION_TYPE
- Static variable in class clarion.system.
AbstractRule
The selection type to use for the selection measure of the rule.
GLOBAL_SPECIALIZATION_THRESHOLD1
- Static variable in class clarion.system.
RuleRefiner
The threshold IG(C,All) must be below for a rule to be specialized
GLOBAL_SPECIALIZATION_THRESHOLD2
- Static variable in class clarion.system.
RuleRefiner
The threshold IG(C',C) must be below for a rule to be specialized
GLOBAL_SUM_SQ_ERRORS_THRESHOLD
- Static variable in class clarion.tools.
TrainableImplicitModulePreTrainer
The threshold the sum of squared errors must meet before training can end.
GLOBAL_SUPPORT_EPSILON
- Static variable in class clarion.system.
AbstractRule
How close a condition's support must be to the current input in order for it to be considered as matching the current input.
GLOBAL_TEMPERATURE
- Static variable in class clarion.system.
StochasticSelector
The temperature for Boltzmann selection.
GLOBAL_TERMINATION_CONDITION
- Static variable in class clarion.tools.
TrainableImplicitModulePreTrainer
The method of determining the termination condition(s) when training BPNets.
GLOBAL_THRESHOLD
- Static variable in class clarion.system.
StochasticSelector
The threshold for Boltzmann selection.
GLOBAL_UNIVERSAL_GAIN
- Static variable in class clarion.system.
Drive
The universal gain for all drives
GLOBAL_UPPER_INIT_THRESHOLD
- Static variable in class clarion.system.
AbstractNeuralNet
The upper bound for the initial threshold.
GLOBAL_UPPER_INIT_WEIGHT
- Static variable in class clarion.system.
AbstractNeuralNet
The upper bound for the initial weights.
GLOBAL_UTILITY_OPTION
- Static variable in class clarion.system.
AbstractRule
Specifies the method to use for calculating utility.
GLOBAL_V
- Static variable in class clarion.system.
AbstractRule
The cost scaling factor.
GLOBAL_VARIABLE_BL_BETA
- Static variable in class clarion.system.
ACS
The BL beta when using variable stochastic level selection.
GLOBAL_VARIABLE_BL_COMB_WEIGHT_BETA
- Static variable in class clarion.system.
ACS
The BL beta when using the variable weighted combination.
GLOBAL_VARIABLE_C3
- Static variable in class clarion.system.
ACS
The C3 constant used for variable level selection.
GLOBAL_VARIABLE_C4
- Static variable in class clarion.system.
ACS
The C4 constant used for variable level selection.
GLOBAL_VARIABLE_FR_BETA
- Static variable in class clarion.system.
ACS
The FR beta when using variable stochastic level selection.
GLOBAL_VARIABLE_FR_COMB_WEIGHT_BETA
- Static variable in class clarion.system.
ACS
The FR beta when using the variable weighted combination.
GLOBAL_VARIABLE_IRL_BETA
- Static variable in class clarion.system.
ACS
The IRL beta when using variable stochastic level selection.
GLOBAL_VARIABLE_IRL_COMB_WEIGHT_BETA
- Static variable in class clarion.system.
ACS
The IRL beta when using the variable weighted combination.
GLOBAL_VARIABLE_RER_BETA
- Static variable in class clarion.system.
ACS
The RER beta when using variable stochastic level selection.
GLOBAL_VARIABLE_RER_COMB_WEIGHT_BETA
- Static variable in class clarion.system.
ACS
The RER beta when using the variable weighted combination.
GLOBAL_WEIGHT
- Static variable in class clarion.system.
AbstractExplicitModule
The weight.
GLOBAL_WM_PROBABILITY
- Static variable in class clarion.system.
ACS
The probability of choosing a working memory action.
GLOBAL_WORKING_MEMORY_CAPACITY
- Static variable in class clarion.system.
WorkingMemory
The number of slots in working memory.
Goal
- Class in
clarion.system
This class implements a goal within CLARION.
Goal(Object)
- Constructor for class clarion.system.
Goal
Initializes the goal with the ID specified.
Goal(Object, Collection<? extends Dimension>)
- Constructor for class clarion.system.
Goal
Initializes the goal with the specified ID and dimensions.
Goal(Object, Map<? extends Object, ? extends Dimension>)
- Constructor for class clarion.system.
Goal
Initializes the goal with the specified ID and map of dimensions.
GOAL_LIST_CAPACITY
- Variable in class clarion.system.
GoalStructure
The number of slots in the goal list.
GOAL_PROBABILITY
- Variable in class clarion.system.
ACS
The probability of choosing a goal action.
GoalAction
- Class in
clarion.system
This class implements a goal action within CLARION.
GoalAction(Object)
- Constructor for class clarion.system.
GoalAction
Initializes the goal action with the ID specified.
GoalAction(Object, Collection<? extends Dimension>)
- Constructor for class clarion.system.
GoalAction
Initializes the goal action with the specified ID and dimensions.
GoalAction(Object, Map<? extends Object, ? extends Dimension>)
- Constructor for class clarion.system.
GoalAction
Initializes the goal action with the specified ID and map of dimensions.
GoalCollection
- Class in
clarion.system
This class implements a goal collection within CLARION.
GoalCollection()
- Constructor for class clarion.system.
GoalCollection
Initializes a goal collection.
GoalCollection(Collection<? extends Goal>)
- Constructor for class clarion.system.
GoalCollection
Initializes a goal collection with the collection of goals specified.
GoalCollection(Map<? extends Object, ? extends Goal>)
- Constructor for class clarion.system.
GoalCollection
Initializes the goal collection with the map of goals.
Goals
- Variable in class clarion.samples.
HelloWorld
The goals the agent is able to set throughout the course of the task
GoalSelectionEquation
- Class in
clarion.system
This class implements a goal selection equation within CLARION.
GoalSelectionEquation(Collection<Dimension>, AbstractOutputChunkCollection<? extends AbstractOutputChunk>)
- Constructor for class clarion.system.
GoalSelectionEquation
Initializes the goal selection equation.
GoalSelectionImplicitModule
- Variable in class clarion.system.
GoalSelectionModule
The implicit representation used for goal selection.
GoalSelectionModule
- Class in
clarion.system
This class implements a goal selection module within CLARION.
GoalSelectionModule(Collection<DriveStrength>, Collection<Goal>)
- Constructor for class clarion.system.
GoalSelectionModule
Initializes the goal selection module to use the goal selection equation.
GoalSelectionModule(AbstractImplicitModule)
- Constructor for class clarion.system.
GoalSelectionModule
Initializes the goal selection module given the specified implicit module.
GoalSelectionModule
- Variable in class clarion.system.
MCS
The goal selection module.
GoalStructure
- Class in
clarion.system
This class implements the goal structure within CLARION.
GoalStructure(CLARION)
- Constructor for class clarion.system.
GoalStructure
Initializes the goal structure.
gs
- Variable in class clarion.system.
CLARION
The Goal Structure.
GS
- Variable in class clarion.system.
GoalSelectionModule
The goal structure.
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