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A

AbstractCell - class net.openai.ai.ga.cell.AbstractCell.: The AbstractCell class is an encapsulation of data that will be used to try to solve a problem (Environment).
AbstractCell() - Constructor for class net.openai.ai.ga.cell.AbstractCell
AbstractDataObject - class net.openai.ai.nn.gui.data.AbstractDataObject.: Implements most parts of the DataObject interface.
AbstractDataObject() - Constructor for class net.openai.ai.nn.gui.data.AbstractDataObject
AbstractDrawable - class net.openai.ai.nn.gui.data.AbstractDrawable.
AbstractDrawable() - Constructor for class net.openai.ai.nn.gui.data.AbstractDrawable
AbstractEnvironment - class net.openai.ai.ga.environment.AbstractEnvironment.: The AbstractEnvironment is the encapsulation of the problem that the population will try to solve.
AbstractEnvironment() - Constructor for class net.openai.ai.ga.environment.AbstractEnvironment
AbstractGUINeuron - class net.openai.ai.nn.gui.data.AbstractGUINeuron.: Implements the non-gui parts of the GUINeuron interface.
AbstractGUINeuron(Neuron, int, int, int) - Constructor for class net.openai.ai.nn.gui.data.AbstractGUINeuron: Constructs a new GUINeuron.
AbstractNNEvent - class net.openai.ai.nn.network.event.AbstractNNEvent.: Abstract superclass for all NeuralNetwork events
AbstractNNEvent(Object, int) - Constructor for class net.openai.ai.nn.network.event.AbstractNNEvent: Creates a new instance of AbstractNNEvent
AbstractTreeModel - class net.openai.ai.nn.gui.widgets.AbstractTreeModel.: Generic TreeModel that uses AITreeNodes
AbstractTreeModel() - Constructor for class net.openai.ai.nn.gui.widgets.AbstractTreeModel: Constructs a new model with a root-node
AbstractTreeModel(AITreeNode) - Constructor for class net.openai.ai.nn.gui.widgets.AbstractTreeModel: Construct a new model with the given root
accept(File) - Method in class net.openai.ai.nn.gui.widgets.SimpleFileFilter: Return true if this file should be shown in the directory pane, false if it shouldn't.
ADD - Static variable in class net.openai.ai.nn.network.event.AbstractNNEvent
add(Property) - Method in class net.openai.ai.nn.gui.properties.PropertyList: Adds a single property to this list.
add(String, String) - Method in class net.openai.ai.nn.gui.widgets.AIPopupMenu: Add a new entry to the Popup-menu The name of the entry is later used as CommandName for ActionEvents
add(String, String, int) - Method in class net.openai.ai.nn.gui.widgets.AIPopupMenu: Add a new entry to the Popup-menu The name of the entry is later used as CommandName for ActionEvents
addBias() - Method in class net.openai.ai.nn.network.Layer: Add the bias neuron.
addCell(Cell) - Method in class net.openai.ai.ga.population.Population: Adds a Cell to this Population.
addCells(Population) - Method in class net.openai.ai.ga.population.Population: Adds all the Cells in the given Population.
addColumnName(String) - Method in class net.openai.ai.nn.parser.Data: Add a column name to the list.
addConnection(Connection) - Method in interface net.openai.ai.nn.gui.data.GUINeuron: Constructs a new GUIConnection and adds it
addConnection(Connection) - Method in class net.openai.ai.nn.gui.data.AbstractGUINeuron: Adds a new Connection
addConnectionEventListener(ConnectionEventListener) - Method in class net.openai.ai.nn.architecture.TestArchitecture: Adds a connection event listener.
addConnectionFrom(Connection) - Method in class net.openai.ai.nn.network.Neuron: Add a connection from this neuron.
addConnectionTo(Connection) - Method in class net.openai.ai.nn.network.Neuron: Add a connection to this neuron.
addCriterionReachedEventListener(CriterionReachedEventListener) - Method in class net.openai.ai.nn.network.Network: Adds a criterion reached event listener.
addDrawableObject(Drawable, String) - Method in class net.openai.ai.nn.gui.data.DataModel: Add a drawable Object to the Pane
addElement() - Method in class net.openai.ai.nn.training.TrainingSet: Adds a new default training element to the system.
addElement(TrainingElement) - Method in class net.openai.ai.nn.training.TrainingSet: Adds a new training element to the system.
addElementAt(int) - Method in class net.openai.ai.nn.training.TrainingSet: Insert a element
addElementAt(int, TrainingElement) - Method in class net.openai.ai.nn.training.TrainingSet: Insert a element
addExtension(String) - Method in class net.openai.ai.nn.gui.widgets.SimpleFileFilter: Adds a filetype "dot" extension to filter against.
addFrame(AIFrame) - Static method in class net.openai.ai.nn.gui.AIDesktop: Initialises and adds a innerframe
addInputCategory(String) - Method in class net.openai.ai.nn.training.TrainingSet: Adds a new Inputcategory.
addIterationLimitReachedEventListener(IterationLimitReachedEventListener) - Method in class net.openai.ai.nn.network.Network: Adds a iteration limit reached event listener.
AddLayer - class net.openai.ai.nn.gui.dialogs.AddLayer.
addLayer() - Method in class net.openai.ai.nn.network.Network: Adds a single layer to the network.
AddLayer(Frame) - Constructor for class net.openai.ai.nn.gui.dialogs.AddLayer: Creates new form AddLayer
addLayer(Network, Layer) - Method in class net.openai.ai.nn.gui.data.GUINetwork: Adds a new layer to the datamodel and returns it
addLayerEventListener(LayerEventListener) - Method in class net.openai.ai.nn.network.Network: Adds a layer added event listener.
addMachineListener(MachineListener) - Method in class net.openai.util.fsm.Machine: Adds a MachineListener to this Machine that we will deliver events to.
addNeuron() - Method in class net.openai.ai.nn.network.Layer: Creates and adds a single neuron to the layer.
addNeuron(Network, Neuron) - Method in class net.openai.ai.nn.gui.data.GUILayer: Adds a Neuron to this layer
addNeuron(Neuron) - Method in class net.openai.ai.nn.network.Layer: Adds a single neuron to the layer.
addNeuronEventListener(NeuronEventListener) - Method in class net.openai.ai.nn.network.Layer: Adds a neuron added event listener.
addNeuronToLayer(DataModel, GUILayer, boolean) - Static method in class net.openai.ai.nn.gui.topology.NetworkTools: Creates and adds a neuron to a specific layer
addOutputCategory(String) - Method in class net.openai.ai.nn.training.TrainingSet: Adds a new Outputcategory.
addPopulation(Population) - Method in class net.openai.ai.ga.population.PopulationArray: Adds a Population to this PopulationArray.
addPopulations(PopulationArray) - Method in class net.openai.ai.ga.population.PopulationArray: Adds all the Populations in the given PopulationArray.
addPopupMenuListeners(AIPopupMenuListener) - Method in class net.openai.ai.nn.gui.widgets.AIPopupMenu: Add a listener to the eventlist
addPropertyDefinition(String) - Method in class net.openai.ai.nn.gui.properties.PropertyHandler: Reads and umarshalls a XML-propertydescription.
addRow(Vector) - Method in class net.openai.ai.nn.parser.Data: Add a single row of data.
addStateListener(StateListener) - Method in class net.openai.util.fsm.State: Adds a StateListener to this State that we will deliver events to.
addToolbarListener(AIToolbarListener) - Method in class net.openai.ai.nn.gui.widgets.AIToolbar: adds a ToolbarListener
addTransition(Condition) - Method in class net.openai.util.fsm.State: Adds a Condition to this State.
addTransition(Condition, State) - Method in class net.openai.util.fsm.State: Convenience method for adding a transition from this state to the next.
addWeightChangeEventListener(WeightChangeEventListener) - Method in class net.openai.ai.nn.network.Weight: Adds a weight change event listener.
addWorld(World) - Method in class net.openai.ai.ga.GeneticAlgorithm: Adds a given World onto the end of all the worlds in this Genetic Algorithm.
adoptNetworkStructure() - Method in class net.openai.ai.nn.gui.TrainingTableModel: Changes in/output columns to fit to the actual network
adoptNetworkStructure() - Method in class net.openai.ai.nn.gui.LearningEditor: Changes in/output columns to fit to the actual network
Agent - class net.openai.ai.agent.Agent.: This class is the base class for all Agents.
AGENT_CONTINUE - Static variable in interface net.openai.ai.agent.AgentConstants: The default state after a migration.
AGENT_RETURN_TO_SENDER - Static variable in interface net.openai.ai.agent.AgentConstants: The run state if an agent has been rejected by another Daemon.
AGENT_START - Static variable in interface net.openai.ai.agent.AgentConstants: The initial run state for agents.
Agent() - Constructor for class net.openai.ai.agent.Agent: Constructs a new Agent.
AgentConstants - interface net.openai.ai.agent.AgentConstants.: This interface contains several constants that will be used by the Agent System.
AgentState - class net.openai.ai.hybrid.fsmagent.AgentState.: A State to be used by the FSMAgent.
AgentState() - Constructor for class net.openai.ai.hybrid.fsmagent.AgentState: Constructs a new AgentState
AIDesktop - class net.openai.ai.nn.gui.AIDesktop.: Main desktop.
AIDesktop(String) - Constructor for class net.openai.ai.nn.gui.AIDesktop: AIDesktop constructor
Constructs and initialises the core components of the GUI
AIFileRequester - class net.openai.ai.nn.gui.widgets.AIFileRequester.: AIFileRequester
AIFileRequester() - Constructor for class net.openai.ai.nn.gui.widgets.AIFileRequester
AIFrame - class net.openai.ai.nn.gui.AIFrame.: This class is the superclass of all inner frames used in this app
AIFrame(String) - Constructor for class net.openai.ai.nn.gui.AIFrame: The only constructor for this class
AIMenuBar - class net.openai.ai.nn.gui.widgets.AIMenuBar.: The AIMenuBar is designed to encapsulate the creation of the menu for the AIDesktop.
AIMenuBar(AIDesktop) - Constructor for class net.openai.ai.nn.gui.widgets.AIMenuBar: AIMenuBar constructor
Sets the currect desktop.
AIPopupMenu - class net.openai.ai.nn.gui.widgets.AIPopupMenu.: Helperclass for simple PopupMenus The class registers itself as listener to all JMenu entries.
AIPopupMenu() - Constructor for class net.openai.ai.nn.gui.widgets.AIPopupMenu: Constructs a new PopupMenu Object
AIPopupMenu(String) - Constructor for class net.openai.ai.nn.gui.widgets.AIPopupMenu: Constructs a new PopupMenu Object with the given title
AIPopupMenu(String, AIPopupMenuListener) - Constructor for class net.openai.ai.nn.gui.widgets.AIPopupMenu: Constructor declaration
AIPopupMenuListener - interface net.openai.ai.nn.gui.widgets.AIPopupMenuListener.: Listenerinterface for simple Popup-Menus
AIToolbar - class net.openai.ai.nn.gui.widgets.AIToolbar.: Toolbar Bean
AIToolbar.AIToolbarButton - class net.openai.ai.nn.gui.widgets.AIToolbar.AIToolbarButton.: Defines a default toolbar-button with name and icon
AIToolbar() - Constructor for class net.openai.ai.nn.gui.widgets.AIToolbar: Default constructor
AIToolbar(AIToolbarListener) - Constructor for class net.openai.ai.nn.gui.widgets.AIToolbar: Constructor that adds a listener
AIToolbarListener - interface net.openai.ai.nn.gui.widgets.AIToolbarListener.: Interface declaration
AITree - class net.openai.ai.nn.gui.topology.AITree.
AITree() - Constructor for class net.openai.ai.nn.gui.topology.AITree: Creates a new instance of AITree
AITreeCellRenderer - class net.openai.ai.nn.gui.widgets.AITreeCellRenderer.: Generic TreeCellRenderer for AITreeNodes can handle Icon's as well.
AITreeCellRenderer() - Constructor for class net.openai.ai.nn.gui.widgets.AITreeCellRenderer
AITreeModel - class net.openai.ai.nn.gui.topology.AITreeModel.: TreeModel of the networkpane
AITreeModel(DataModel) - Constructor for class net.openai.ai.nn.gui.topology.AITreeModel: Creates a new instance of AITreeModel
AITreeNode - class net.openai.ai.nn.gui.widgets.AITreeNode.: Comfortable TreeNode with a tag and a icon.
AITreeNode() - Constructor for class net.openai.ai.nn.gui.widgets.AITreeNode: Contructs a empty AITreeNode
AITreeNode(String) - Constructor for class net.openai.ai.nn.gui.widgets.AITreeNode: Constructs a node and sets the name
AITreeNode(String, long) - Constructor for class net.openai.ai.nn.gui.widgets.AITreeNode: Constructs a node, sets the name and id
AnyCondition - class net.openai.util.fsm.AnyCondition.: This condition will be satisfield by any condition that is passed in.
AnyCondition() - Constructor for class net.openai.util.fsm.AnyCondition: Constructs an AnyCondition instance.
AnyCondition(State) - Constructor for class net.openai.util.fsm.AnyCondition: Constructs an AnyCondition with the target state.
append(String) - Method in class net.openai.ai.nn.gui.LogFrame: Appends a string to the textarea and scrolls it down.
Architecture - class net.openai.ai.nn.architecture.Architecture.: This class defines how the neural network will be constructed or connected.
Architecture() - Constructor for class net.openai.ai.nn.architecture.Architecture
ArraySelectionAlgorithm - interface net.openai.ai.ga.selection.ArraySelectionAlgorithm.: ArraySelectionAlgorithm is a method by which Population members are created and chosen from a Population.
ArraySelectTournament - class net.openai.ai.ga.selection.common.ArraySelectTournament.: ArraySelectTournament is a method by which Population members are created and chosen using a tournament on a Population.
ArraySelectTournament(SelectionAlgorithm[], int) - Constructor for class net.openai.ai.ga.selection.common.ArraySelectTournament: Creates a new ArraySelectTournament that creates the specified number of parent sets by choosing a random parent for each parent slot according to each specified selection algorithm.
ArraySelectTournament(SelectionAlgorithm[], int, Population) - Constructor for class net.openai.ai.ga.selection.common.ArraySelectTournament: Creates a new ArraySelectTournament that creates the specified number of parent sets by choosing a random parent for each parent slot according to each specified selection algorithm and adds these into the specified base population.
ArraySelectTournament(SelectionAlgorithm[], int, Population, PopulationArray) - Constructor for class net.openai.ai.ga.selection.common.ArraySelectTournament: Creates a new ArraySelectTournament that creates the specified number of parent sets by choosing a random parent for each parent slot according to each specified selection algorithm and adds these into the specified base population, which are in turn added into a clone of the base population array.
ArraySelectUnion - class net.openai.ai.ga.selection.common.ArraySelectUnion.: ArraySelectUnion is a ArraySelectionAlgorithm that will return the union of the results of two specified ArraySelectionAlgorithms.
ArraySelectUnion(ArraySelectionAlgorithm, ArraySelectionAlgorithm) - Constructor for class net.openai.ai.ga.selection.common.ArraySelectUnion: Creates a new ArraySelectUnion object for taking the union of the Populations returned by the two passed ArraySelectionAlgorithms.

B

BiasNeuron - class net.openai.ai.nn.network.BiasNeuron.: Class declaration
BiasNeuron() - Constructor for class net.openai.ai.nn.network.BiasNeuron: Constructor declaration
BooleanCondition - class net.openai.util.fsm.BooleanCondition.: BooleanCondition class
BooleanCondition() - Constructor for class net.openai.util.fsm.BooleanCondition: Constructs a BooleanCondition with it's target value set to true.
BooleanCondition(boolean) - Constructor for class net.openai.util.fsm.BooleanCondition: Constructs a BooleanCondition with the given target value.
BooleanCondition(Boolean) - Constructor for class net.openai.util.fsm.BooleanCondition: Constructs a BooleanCondition with the given target value.
BooleanCondition(State) - Constructor for class net.openai.util.fsm.BooleanCondition: Constructs a BooleanCondtion with it's target value set to true and it's target state set to the given state.
BooleanCondition(State, boolean) - Constructor for class net.openai.util.fsm.BooleanCondition: Constructs a BooleanCondition with the given target value and the given target state.
BooleanCondition(State, Boolean) - Constructor for class net.openai.util.fsm.BooleanCondition: Constructs a BooleanCondition with the given target value.
bSelected - Variable in class net.openai.ai.nn.gui.data.AbstractDrawable
BuildTree() - Method in class net.openai.ai.nn.gui.scripting.ScriptTreeModel: Reads all files in the script subdir and builds a tree
BuildTree() - Method in class net.openai.ai.nn.gui.topology.AITreeModel: Must be overwriten in the Implementation.
BuildTree() - Method in class net.openai.ai.nn.gui.widgets.AbstractTreeModel: Must be overwriten in the Implementation.

C

calculate() - Method in class net.openai.ai.nn.network.Layer: Processes this layer, calling the input function, then the transfer function and sets all variables for the learning process to be completed.
calculateError(Network) - Method in class net.openai.ai.nn.error.TestErrorType: Method declaration
calculateError(Network) - Method in class net.openai.ai.nn.error.ErrorType: Method declaration
calculateInput(Neuron) - Method in class net.openai.ai.nn.input.TestInputFunction: Method declaration
calculateInput(Neuron) - Method in class net.openai.ai.nn.input.InputFunction: Method declaration
caretUpdate(CaretEvent) - Method in class net.openai.ai.nn.gui.scripting.SourceEditor: Handle cursor moves
Cell - interface net.openai.ai.ga.cell.Cell.: The Cell interface is an encapsulation of data that will be used to try to solve a problem (Environment).
cellFitness - Variable in class net.openai.ai.ga.cell.AbstractCell: The last evaluated fitness for the cell is stored here and is used for the getFitness calls.
cellMaturity - Variable in class net.openai.ai.ga.cell.AbstractCell: The maturity of the cell is stored here and is used for the getMaturity.
cells - Variable in class net.openai.ai.ga.population.Population: The collection of cells that are in this Population
checkConnectionPosition(int, int) - Method in class net.openai.ai.nn.gui.data.GUINetwork: Iterates through all connections of the network and returns the first connection at the specified position.
checkNeuronPosition(int, int) - Method in class net.openai.ai.nn.gui.data.GUILayer: Iterates through all neurons of this layer and returns the first neuron at the specified position.
checkNeuronPosition(int, int) - Method in class net.openai.ai.nn.gui.data.GUINetwork: Iterates through all neurons of the network and returns the first neuron at the specified position.
ClassSelectorModel - class net.openai.ai.nn.gui.properties.ClassSelectorModel.: Model for a Class-selector DropDown Displays the values of a list of SelectionEntries
ClassSelectorModel() - Constructor for class net.openai.ai.nn.gui.properties.ClassSelectorModel: Creates a new instance of a ClassSelectorModel without entries
ClassSelectorModel(Vector) - Constructor for class net.openai.ai.nn.gui.properties.ClassSelectorModel: Creates a new instance of a ClassSelectorModel.
cleanse() - Method in class net.openai.ai.ga.GeneticAlgorithm: Removes non-World objects from the Collection
cleanse() - Method in class net.openai.ai.ga.population.PopulationArray: Removes non-Population objects from the Collection
cleanse() - Method in class net.openai.ai.ga.population.Population: Removes non-Cell objects from the Collection
clear() - Method in class net.openai.ai.nn.gui.widgets.StatusBar: Clears all textlabels on the statusbar
clear() - Method in class net.openai.ai.nn.network.Layer: Clears all the existing neurons.
clearBit(int) - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString: Clears a given bit in the binary string
clearConnectionsFrom() - Method in class net.openai.ai.nn.network.Neuron
clearConnectionsTo() - Method in class net.openai.ai.nn.network.Neuron
clearSelection() - Method in class net.openai.ai.nn.gui.data.GUINetwork: Resets the 'selected' flag of all neurons and connections
combine(Population) - Method in interface net.openai.ai.ga.cell.Cell: Tells the cell to create new offspring, which will be placed in the population.
combine(Population) - Method in class net.openai.ai.ga.cell.AbstractCell: Tells the cell to create new offspring, which will be placed in the population.
combine(PopulationArray) - Method in class net.openai.ai.ga.population.Population: Creates new Cells to add into the Population.
ComparableCondition - class net.openai.util.fsm.ComparableCondition.: ComparableCondition class
ComparableCondition(byte) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(byte, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(char) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(char, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(Comparable) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(Comparable, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(double) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(double, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(float) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(float, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(int, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(long) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(long, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(short) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(short, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, byte) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, byte, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, char) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, char, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, Comparable) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, Comparable, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, double) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, double, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, float) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, float, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, int, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, long) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, long, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, short) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
ComparableCondition(State, short, int) - Constructor for class net.openai.util.fsm.ComparableCondition: Constructs a new ComparableCondition with the default type of EQUALS_TO.
condemn() - Method in interface net.openai.ai.ga.cell.Cell: Tells the cell that it has been condemned to die.
condemn() - Method in class net.openai.ai.ga.cell.AbstractCell: Tells the cell that it has been condemned to die.
condemnPopulation(Population) - Static method in class net.openai.ai.ga.population.Population: Condemns all the Cells in the given Population.
Condition - class net.openai.util.fsm.Condition.: This is the base class for all Conditions
Condition() - Constructor for class net.openai.util.fsm.Condition: Constructs a new Condition object.
Condition(State) - Constructor for class net.openai.util.fsm.Condition: Constructs a new Condition with the given target state.
connect() - Method in class net.openai.ai.nn.network.Network: Connect the network using the networks' architecture rule.
connectAll(Vector, Vector) - Method in class net.openai.ai.nn.architecture.TestArchitecture: Interconects the given neurons
connectAll(Vector, Vector) - Method in class net.openai.ai.nn.architecture.Architecture: Interconnects given neurons
Connection - class net.openai.ai.nn.network.Connection.: Class declaration
Connection() - Constructor for class net.openai.ai.nn.network.Connection: Default constructor, needed by Castor.
Connection(Neuron, Neuron) - Constructor for class net.openai.ai.nn.network.Connection: creates a connection object based on the two neurons passed in as arguments
ConnectionEvent - class net.openai.ai.nn.network.event.ConnectionEvent.: Connection Event
ConnectionEvent(Object, Connection, int) - Constructor for class net.openai.ai.nn.network.event.ConnectionEvent: Constructs a new ConnectionEvent
ConnectionEventListener - interface net.openai.ai.nn.network.event.ConnectionEventListener.: Interface declaration
connectNetwork(Network) - Method in class net.openai.ai.nn.architecture.TestArchitecture: Connects the network passed in to this method.
connectNetwork(Network) - Method in class net.openai.ai.nn.architecture.Architecture: Connects the network passed in to this method.
contains(double, double) - Method in class net.openai.ai.nn.gui.data.DefaultGUINeuron: Checks if x,y is within the objects visual representation
contains(double, double) - Method in interface net.openai.ai.nn.gui.data.Drawable: Checks if x,y is within objects visual representation
contains(double, double) - Method in class net.openai.ai.nn.gui.data.AbstractDrawable: Checks if x,y is within objects visual representation
correctLayer(Layer, TrainingElement) - Method in class net.openai.ai.nn.learning.TestLearningRule: Method declaration
correctLayer(Layer, TrainingElement) - Method in class net.openai.ai.nn.learning.LearningRule: Method declaration
createDefaultConnections(Network, Neuron) - Method in class net.openai.ai.nn.architecture.TestArchitecture: Creates default connections for the given neurons
createDefaultConnections(Network, Neuron) - Method in class net.openai.ai.nn.architecture.Architecture: Creates default connections for the given neuron
createLayerNode(Layer) - Method in class net.openai.ai.nn.gui.topology.AITreeModel: Creates a layer TreeNode
createNeuronNode(Neuron) - Method in class net.openai.ai.nn.gui.topology.AITreeModel: Creates a neuron TreeNode
createNew() - Method in class net.openai.ai.nn.gui.LearningEditor: Begin a new trainingset, adopt to networkstructure and add a first element
createNewModel() - Static method in class net.openai.ai.nn.gui.topology.NetworkTools
CriterionReachedEvent - class net.openai.ai.nn.network.event.CriterionReachedEvent.: Class declaration
CriterionReachedEvent(Object, double) - Constructor for class net.openai.ai.nn.network.event.CriterionReachedEvent: Constructor declaration
CriterionReachedEventListener - interface net.openai.ai.nn.network.event.CriterionReachedEventListener.: Interface declaration
cross(FixedBinaryString, FixedBinaryString) - Static method in class net.openai.ai.ga.cell.encoding.FixedBinaryString: Returns a new FixedBinaryString based on two other binary strings of the same length.
cross(StrictPermutation, StrictPermutation) - Static method in class net.openai.ai.ga.cell.encoding.StrictPermutation: Returns a new StrictPermutation based on two other permutations of the same length.

D

Daemon - class net.openai.ai.agent.Daemon.: This is the "portal" that allows the transmission of Agents between hosts.
DaemonDescription - class net.openai.ai.agent.DaemonDescription.: This class encapsulates description data about a Daemon.
DaemonService - class net.openai.ai.agent.DaemonService.: This is the base class for all Services used by the Daemon.
DaemonService() - Constructor for class net.openai.ai.agent.DaemonService: Constructs a new DaemonService that will be "public".
DaemonService(boolean) - Constructor for class net.openai.ai.agent.DaemonService: Constructs a new DaemonService with the given "public" flag.
Data - class net.openai.ai.nn.parser.Data.: Class declaration
Data() - Constructor for class net.openai.ai.nn.parser.Data: Constructor declaration
DataContainer - class net.openai.ai.nn.gui.data.DataContainer.: Generic container for DataObjects.
DataContainer() - Constructor for class net.openai.ai.nn.gui.data.DataContainer: Creates a empty DataContainer
DataModel - class net.openai.ai.nn.gui.data.DataModel.: Rootclass of the GUI-DataModel.
DataModel() - Constructor for class net.openai.ai.nn.gui.data.DataModel: Creates a new DataModel
DataObject - interface net.openai.ai.nn.gui.data.DataObject.: Generic Interface for DataObjects to be stored recursivly in DataContainers
DataParser - class net.openai.ai.nn.parser.DataParser.: Class declaration
DataParser() - Constructor for class net.openai.ai.nn.parser.DataParser: Constructor declaration
db(String) - Method in class net.openai.ai.nn.error.ErrorType: Method declaration
db(String) - Method in class net.openai.ai.nn.input.InputFunction: Method declaration
db(String) - Method in class net.openai.ai.nn.learning.LearningRule: Method declaration
db(String) - Method in class net.openai.ai.nn.transfer.TransferFunction: Method declaration
DefaultGUINeuron - class net.openai.ai.nn.gui.data.DefaultGUINeuron.: A visual representation of a neuron.
DefaultGUINeuron(Network, Neuron) - Constructor for class net.openai.ai.nn.gui.data.DefaultGUINeuron: Construct a new GUINeuron out of a neuron-instance
DefaultGUINeuron(Neuron, int, int, int) - Constructor for class net.openai.ai.nn.gui.data.DefaultGUINeuron: Constructs a new GUINeuron
DefaultTree - class net.openai.ai.nn.gui.widgets.DefaultTree.: Extended Tree class
DefaultTree() - Constructor for class net.openai.ai.nn.gui.widgets.DefaultTree: Constructs a new, empty Tree with AITreeCellRenderer as renderer
defineButton(String, String) - Method in class net.openai.ai.nn.gui.widgets.AIToolbar: Defines and adds a button without icon
defineButton(String, String, String) - Method in class net.openai.ai.nn.gui.widgets.AIToolbar: Defines a button with name, tooltip and icon
defineButton(String, String, String, boolean) - Method in class net.openai.ai.nn.gui.widgets.AIToolbar: Defines a button with name, tooltip and icon
delete(int) - Method in class net.openai.ai.nn.gui.TrainingTableModel: Deletes a element from the TrainingSet
deleteNeuronsFromLayer(Vector) - Static method in class net.openai.ai.nn.gui.topology.NetworkTools: Deletes all neurons in the given Vector
deserialize(String) - Static method in class net.openai.ai.nn.persistence.Persistence: Method declaration
desktop - Static variable in class net.openai.ai.nn.gui.AIDesktop: The background where the internal frames live
disconnectAllFrom(Vector) - Method in class net.openai.ai.nn.architecture.TestArchitecture: Deletes all connections from the given neurons to others
disconnectAllFrom(Vector) - Method in class net.openai.ai.nn.architecture.Architecture: Deletes all connections from the given neurons to others
disconnectAllTo(Vector) - Method in class net.openai.ai.nn.architecture.TestArchitecture: Deletes all connections to the given neurons from others
disconnectAllTo(Vector) - Method in class net.openai.ai.nn.architecture.Architecture: Deletes all connections to the given neurons from others
displayMessage(String) - Method in class net.openai.ai.agent.Agent: Displays a message.
displayMessage(String) - Method in class net.openai.ai.hybrid.fsmagent.AgentState: Prints out a message for the AgentState.
displayProperties(Object) - Static method in class net.openai.ai.nn.gui.AIDesktop: Sets the propertylist for the PropertyEditor
doLayout(GUINetwork) - Method in interface net.openai.ai.nn.gui.topology.Layouter: performs the layout process
doLayout(GUINetwork) - Method in class net.openai.ai.nn.gui.topology.GridLayout: performs the layout process
doneRefresh() - Method in class net.openai.ai.nn.gui.data.DataModel: A Refresh is done.
doubleClick(int, TreePath) - Method in class net.openai.ai.nn.gui.scripting.SourceEditor.MouseEventHandler: Method declaration
doWeightChange(GUIConnection) - Static method in class net.openai.ai.nn.gui.topology.NetworkTools: Shows a messagebox to change the weight of the first selected connection.
Drawable - interface net.openai.ai.nn.gui.data.Drawable.: A common interface for all drag- and selectable widgets in the GUI

E

END_FLAG_CHANGE - Static variable in class net.openai.util.fsm.event.StateEvent: This type of StateEvent indicates a toggling of the end state flag on the state.
ENTER_END - Static variable in class net.openai.util.fsm.event.StateEvent: This type of StateEvent indicates a state is done being entered.
ENTER_START - Static variable in class net.openai.util.fsm.event.StateEvent: This type of StateEvent indicates a state is about to be entered.
enter(Object) - Method in class net.openai.ai.hybrid.fsmagent.HaltState: Called by the FSMAgent's Finite State Machine when the HaltState is entered.
enter(Object) - Method in class net.openai.ai.hybrid.fsmagent.InputForwardingState: Called by the FSMAgent's Finite State Machine when the InputFowardingState is entered.
enter(Object) - Method in class net.openai.util.fsm.State: This method is called when the state is entered.
Environment - interface net.openai.ai.ga.environment.Environment.: The Environment is the encapsulation of the problem that the population will try to solve.
environmentGeneration - Variable in class net.openai.ai.ga.environment.AbstractEnvironment
EQ - Static variable in class net.openai.util.fsm.ComparableCondition: A shorthand for the "equal to" operation.
EQUAL_TO - Static variable in class net.openai.util.fsm.ComparableCondition: Indicates that this is an "equal to" operation.
EqualsCondition - class net.openai.util.fsm.EqualsCondition.: EqualsCondition class
EqualsCondition() - Constructor for class net.openai.util.fsm.EqualsCondition: Constructs a new EqualsCondition.
EqualsCondition(Object) - Constructor for class net.openai.util.fsm.EqualsCondition: Constructs a new EqualsCondition with the target target.
EqualsCondition(State) - Constructor for class net.openai.util.fsm.EqualsCondition: Constructs a new EqualsCondtion with the given target state.
EqualsCondition(State, Object) - Constructor for class net.openai.util.fsm.EqualsCondition: Constructs a new EqualsCondition with the target target and the given target state.
ErrorType - class net.openai.ai.nn.error.ErrorType.: Class declaration
ErrorType() - Constructor for class net.openai.ai.nn.error.ErrorType
evaluate(Environment) - Method in class net.openai.ai.ga.population.Population: Tells each Cell in this Population to evaluate its fitness based upon the Environment given to it.
evaluateFitness(Environment) - Method in interface net.openai.ai.ga.cell.Cell: Return the fitness of the Cell.
evaluateFitness(Environment) - Method in class net.openai.ai.ga.cell.AbstractCell: Return the fitness of the Cell.
executeAgent() - Method in class net.openai.ai.agent.Agent: Implement this method to provide functionality for the Agent.
executeAgent() - Method in class net.openai.ai.hybrid.fsmagent.FSMAgent: Executes the agent.
executeState() - Method in class net.openai.ai.hybrid.fsmagent.SleepState: The main body of execution for the SleepState.
executeState() - Method in class net.openai.ai.hybrid.fsmagent.HaltState: The main body of execution for the HaltState.
executeState() - Method in class net.openai.ai.hybrid.fsmagent.MigrateState: The main body of the MigrateState's execution.
executeState() - Method in class net.openai.ai.hybrid.fsmagent.AgentState: The execution method for the AgentState.
EXIT_END - Static variable in class net.openai.util.fsm.event.StateEvent: This type of StateEvent indicates a state is done exiting.
EXIT_START - Static variable in class net.openai.util.fsm.event.StateEvent: This type of StateEvent indicates a state is about to be exited.
exit() - Method in class net.openai.ai.hybrid.fsmagent.HaltState: Overridden and finalized because there is no need to implement this method.
exit() - Method in class net.openai.ai.hybrid.fsmagent.InputForwardingState: Called by the FSMAgent's Finite State Machine when the InputForwardingState is finished.
exit() - Method in class net.openai.util.fsm.State: This method is called when the state is exited via a transition to another state.
expandNode(TreeNode) - Method in class net.openai.ai.nn.gui.widgets.DefaultTree: Expand all nodes below nd

F

firePopupEvent(ActionEvent) - Method in class net.openai.ai.nn.gui.widgets.AIPopupMenu: Forwards a event to all listeners.
FixedBinaryString - class net.openai.ai.ga.cell.encoding.FixedBinaryString.: The FixedBinaryString is an encoding method using a string of binary digits.
FixedBinaryString(FixedBinaryString) - Constructor for class net.openai.ai.ga.cell.encoding.FixedBinaryString: Creates and returns a clone of the given FixedBinaryString.
FixedBinaryString(String, int) - Constructor for class net.openai.ai.ga.cell.encoding.FixedBinaryString: Creates a new FixedBinaryString with the specified bit- length and given name.
FixedBinaryString(String, int, long) - Constructor for class net.openai.ai.ga.cell.encoding.FixedBinaryString: Creates a new FixedBinaryString with the specified bit-length and initial value and given name.
FrameIterator() - Static method in class net.openai.ai.nn.gui.AIDesktop: Returns a iterator over all innerframes
FSMAgent - class net.openai.ai.hybrid.fsmagent.FSMAgent.: This MobileAgent uses an internal Finite State Machine as its method of execution.
FSMAgent(AgentState) - Constructor for class net.openai.ai.hybrid.fsmagent.FSMAgent: Constructs a new FSMAgent with the given start state.

G

GeneticAlgorithm - class net.openai.ai.ga.GeneticAlgorithm.: GeneticAlgorithm is the top-level class for the Genetic Algorithm Java implementation of the OpenAI Toolkit.
GeneticAlgorithm() - Constructor for class net.openai.ai.ga.GeneticAlgorithm: Initializes the GeneticAlgorithm with an ArrayList
GeneticAlgorithm(Collection) - Constructor for class net.openai.ai.ga.GeneticAlgorithm: Initializes the GeneticAlgorithm with the specified Collection
get(long) - Method in class net.openai.ai.nn.gui.data.DataContainer: Returns the DataObject with the given key.
getAgent() - Method in class net.openai.ai.hybrid.fsmagent.AgentState: Returns the parent Agent for the AgentState.
getAgentCount() - Method in class net.openai.ai.agent.Daemon: Returns the number of active agents for this Daemon.
getAgentDescription() - Method in class net.openai.ai.agent.Agent: Returns a description of the Agent.
getAgentID() - Method in class net.openai.ai.agent.Agent: Returns the unique ID of that the Agent was assigned at its spawn time.
getAgentNumber() - Method in class net.openai.ai.agent.Agent: Returns the number of the agent as it was created on its source host.
getAIMenuBar() - Static method in class net.openai.ai.nn.gui.AIDesktop: Returns the menuhandler of the desktop
getAllConnections() - Method in class net.openai.ai.nn.gui.data.GUINetwork: Builds a vector with all connections of the network
getAllNeurons() - Method in class net.openai.ai.nn.gui.data.GUINetwork: Builds a vector with all neurons of the network
getAlpha() - Method in class net.openai.ai.nn.learning.TestLearningRule: Needed for Castor
getAppender() - Method in class net.openai.ai.nn.gui.LogFrame: Method declaration
getArchitecture() - Method in class net.openai.ai.nn.network.Network: Get the value of architecture.
getBeta() - Method in class net.openai.ai.nn.learning.TestLearningRule: Needed for Castor
getBit(int) - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString: Returns the bit-status of a certain bit in this binary string.
getButton() - Method in class net.openai.ai.nn.gui.AIFrame: This method is a accessor method for the Abstract button
getCell(int) - Method in class net.openai.ai.ga.population.Population: Returns a Cell from this Population with the given index.
getCellArray() - Method in class net.openai.ai.ga.population.Population: Returns a Cell[] array representing all the Cells in this population.
getCellEditorValue() - Method in class net.openai.ai.nn.gui.properties.PropertyCellEditor
getCellIterator() - Method in class net.openai.ai.ga.population.Population: Returns an Iterator to be used to iterate through all the Cell in this Population.
getCells() - Method in class net.openai.ai.ga.population.Population: Returns the Collection used internally to represent the members of the population
getChildFromID(long) - Method in class net.openai.ai.nn.gui.widgets.AITreeNode: looks up a childnode with the given ID
getClientClass() - Method in class net.openai.ai.nn.gui.properties.PropertyList: Returns the list's classobject,
getClientClassName() - Method in class net.openai.ai.nn.gui.properties.PropertyList: Returns the name of the clientclass.
getColumnCount() - Method in class net.openai.ai.nn.gui.TrainingTableModel
getColumnCount() - Method in class net.openai.ai.nn.gui.properties.PropertyTableModel: Returns the number of columns.
getColumnName(int) - Method in class net.openai.ai.nn.gui.TrainingTableModel
getColumnName(int) - Method in class net.openai.ai.nn.gui.properties.PropertyTableModel: Returns the name of a specific column.
getColumnNames() - Method in class net.openai.ai.nn.parser.Data: Get the column names for this data.
getComponent() - Method in class net.openai.ai.nn.gui.widgets.AITreeNode: Returns the renderer component
getCondition() - Method in class net.openai.util.fsm.UnhandledConditionException: Returns a handle to the source condition object.
getConfigFile() - Method in class net.openai.ai.nn.parser.Parser: Method declaration
getConnected() - Method in class net.openai.ai.nn.network.Network: Returns whether the network has been connected.
getConnection() - Method in class net.openai.ai.nn.network.event.ConnectionEvent: returns the connections
getConnections() - Method in interface net.openai.ai.nn.gui.data.GUINeuron: Returns a vector containing all GUIConnections of this neuron
getConnections() - Method in class net.openai.ai.nn.gui.data.AbstractGUINeuron: Returns all Connections to other Neurons
getConnections() - Method in class net.openai.ai.nn.network.Neuron: Gets all connections for this neuron..
getConnectionsFrom() - Method in class net.openai.ai.nn.network.Neuron: Gets all 'from' connections for this neuron..
getConnectionState() - Method in class net.openai.ai.nn.gui.data.AbstractGUINeuron
getConnectionsTo() - Method in class net.openai.ai.nn.network.Neuron: Gets all 'to' connections for this neuron..
getConnectionTo(Neuron) - Method in class net.openai.ai.nn.network.Neuron: Gets a connection to a particular neuron.
getCriterion() - Method in class net.openai.ai.nn.network.event.CriterionReachedEvent: Get the criterion.
getCurrentState() - Method in class net.openai.util.fsm.Machine: Returns the current state of this machine.
getDaemon() - Method in class net.openai.ai.agent.Agent: Returns the Daemon that started the Agent or received the agent from another host.
getDaemonPorts() - Static method in class net.openai.ai.agent.Daemon: Returns a list of ports that Daemons are running on.
getDebug() - Static method in class net.openai.ai.ga.GeneticAlgorithm
getDebug() - Static method in class net.openai.ai.nn.network.Network: Get the debug flag.
getDescription() - Method in class net.openai.ai.agent.Daemon: Returns a description of the Daemon as a DaemonDescription.
getDescription() - Method in class net.openai.ai.nn.gui.widgets.SimpleFileFilter: Returns the human readable description of this filter.
getDesired() - Method in class net.openai.ai.nn.training.TrainingElement: Returns the desired values for this element
getDestinationHost() - Method in class net.openai.ai.hybrid.fsmagent.SimpleMigrateState: Returns the destination host for the SimpleMigrateState.
getDestinationHost() - Method in class net.openai.ai.hybrid.fsmagent.MigrateState: Returns the destination host name or IP.
getDestinationPort() - Method in class net.openai.ai.hybrid.fsmagent.SimpleMigrateState: Returns the destination port the the SimpleMigrateState.
getDestinationPort() - Method in class net.openai.ai.hybrid.fsmagent.MigrateState: Returns the port on the destination host to enter through.
getDrawableObject(String) - Method in class net.openai.ai.nn.gui.data.DataModel: Get back a drawable Object
getElement(int) - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation: Returns the value of a certain element in the permutation
getElementAt(int) - Method in class net.openai.ai.nn.gui.properties.ClassSelectorModel: Returns the SelectionEntry at a specific row.
getElements() - Method in class net.openai.ai.nn.training.TrainingSet: Returns a Vector of TrainingElements.
getEndStateFlag() - Method in class net.openai.util.fsm.State: Returns true if this state is an end state, false otherwise.
getEntries() - Method in class net.openai.ai.nn.gui.properties.SelectionList: Getter for property _entries.
getEnvironment() - Method in class net.openai.ai.ga.world.World: Returns the Environment assigned to this World.
getError() - Method in class net.openai.ai.nn.network.Neuron: Gets the error for this neuron.
getError() - Method in class net.openai.ai.nn.network.Network: Get the network error.
getErrorCriterion() - Method in class net.openai.ai.nn.network.Network: Get the network errorCriterion.
getErrorType() - Method in class net.openai.ai.nn.network.Network: Get the value of errorType.
getFile(AITreeNode) - Static method in class net.openai.ai.nn.gui.scripting.ScriptTreeModel: Returns a encapsulated File-object, null if its a directory
getFile(String, FileFilter, String, boolean, Component) - Static method in class net.openai.ai.nn.gui.widgets.AIFileRequester: Creates s JFileChooser with the specified parameters.
getFile(String, String[], String, boolean, Component) - Static method in class net.openai.ai.nn.gui.widgets.AIFileRequester: Creates a FileFilter with the given extensions.
getFileName() - Method in class net.openai.ai.nn.gui.scripting.SourceEditor
getFitness() - Method in interface net.openai.ai.ga.cell.Cell: Return the fitness of the Cell.
getFitness() - Method in class net.openai.ai.ga.cell.AbstractCell: Return the fitness of the Cell.
getFrame(String) - Static method in class net.openai.ai.nn.gui.AIDesktop: Returns a specific innerframe
getFromNeuron() - Method in class net.openai.ai.nn.gui.data.GUIConnection: Returns the 'fromNeuron' of this connection
getFromNeuron() - Method in class net.openai.ai.nn.network.Connection: Get the from neuron
getGetter() - Method in class net.openai.ai.nn.gui.properties.Property: Returns the get-method for this property
getGUINetwork() - Method in class net.openai.ai.nn.gui.topology.NetworkPane: Method declaration
getHiddenLayers() - Method in class net.openai.ai.nn.network.Network: Gets the hidden layers for this network.
getHostIP() - Method in class net.openai.ai.agent.DaemonDescription: Returns the IP address for the DaemonDescription.
getHostIP() - Static method in class net.openai.ai.agent.Daemon: Returns the host IP for the local host that the Daemon is running on.
getHostName() - Method in class net.openai.ai.agent.DaemonDescription: Returns the hostname for the DaemonDescription.
getHostName() - Static method in class net.openai.ai.agent.Daemon: Returns the hostname for the local host that the Daemon is running on.
getIcon() - Method in class net.openai.ai.nn.gui.widgets.AITreeNode: Returns the icon
getIcon(String) - Static method in class net.openai.ai.nn.gui.widgets.Icons: Loads and instanciates a ImageIcon
getID() - Method in class net.openai.ai.nn.gui.data.GUILayer: Returns the ID of the object
getID() - Method in class net.openai.ai.nn.gui.data.AbstractGUINeuron: Returns the ID of the object
getID() - Method in interface net.openai.ai.nn.gui.data.DataObject: Returns the ID of the object
getID() - Method in class net.openai.ai.nn.gui.data.AbstractDataObject: Returns the ID of the object
getID() - Method in class net.openai.ai.nn.gui.widgets.AITreeNode: Returns the actual ID
getID() - Method in class net.openai.ai.nn.network.Neuron: returns the ID of this Neuron
getID() - Method in class net.openai.ai.nn.network.Layer: Returns the Layer-ID
getIDString() - Method in class net.openai.ai.nn.network.Neuron: Returns the unique Identifier for this Neuron as String
getInfo() - Method in class net.openai.ai.nn.gui.properties.Property: Returns the info(help) text for this property
getInput() - Method in class net.openai.ai.nn.network.Neuron: Gets the input for this neuron.
getInput() - Method in class net.openai.ai.nn.training.TrainingElement: Returns the input values for this element
getInputCategories() - Method in class net.openai.ai.nn.training.TrainingSet: Returns a vector containing the names of the categories for the input data.
getInputData() - Method in class net.openai.ai.hybrid.fsmagent.InputForwardingState: Returns the internal input data that was input into the enter state.
getInputFunction() - Method in class net.openai.ai.nn.network.Layer: Get the value of inputFunction.
getInputLayer() - Method in class net.openai.ai.nn.network.Network: Gets the input layer for this network.
getInstance(int) - Static method in class net.openai.ai.agent.Daemon: Returns an instance of a Daemon running on a particular port.
getInt(String) - Method in class net.openai.ai.nn.gui.data.DataModel: Returns a integer user-setting
getIteration() - Method in class net.openai.ai.nn.network.event.IterationLimitReachedEvent: Method declaration
getLastDelta() - Method in class net.openai.ai.nn.network.Weight: Get the weight's lastDelta.
getLayer() - Method in class net.openai.ai.nn.gui.data.GUILayer: Method declaration
getLayer() - Method in class net.openai.ai.nn.network.Neuron: returns the layer that holds this neuron
getLayer() - Method in class net.openai.ai.nn.network.event.LayerEvent: returns the layer
getLayer(long) - Method in class net.openai.ai.nn.gui.data.GUINetwork: Returns a specific layer
getLayerAt(int) - Method in class net.openai.ai.nn.network.Network: Get a specific layer in the network..
getLayerForID(long) - Method in class net.openai.ai.nn.network.Network: Get a specific layer identified by its ID.
getLayerID() - Method in class net.openai.ai.nn.gui.data.AbstractGUINeuron
getLayerID() - Method in class net.openai.ai.nn.network.Neuron: Method declaration
getLayers() - Method in class net.openai.ai.nn.network.Network: Gets all layers for this network.
getLayerType() - Method in class net.openai.ai.nn.network.Layer: Get the layer type.
getLearning() - Method in class net.openai.ai.nn.network.Network: Get the learning flag.
getLearningOrder() - Method in class net.openai.ai.nn.network.Network: Method declaration
getLearningRule() - Method in class net.openai.ai.nn.network.Layer: Get the value of learningRule.
getLength() - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation: Returns the length of this permutation list
getList() - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation: Returns this permutation as a int[].
getLists() - Method in class net.openai.ai.nn.gui.properties.PropertyFile
getLogStream() - Method in class net.openai.ai.agent.Daemon: Returns a handle to the PrintStream that the Daemon will be printing to.
getLogStream() - Method in class net.openai.ai.agent.Agent: Returns the log stream for the local Daemon.
getLong() - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString: Returns the value of this binary string as a long.
getMaturity() - Method in interface net.openai.ai.ga.cell.Cell: Returns the maturity of the Cell.
getMaturity() - Method in class net.openai.ai.ga.cell.AbstractCell: Returns the maturity of the Cell.
getModel() - Static method in class net.openai.ai.nn.gui.AIDesktop: Returns the active Datamodel
getModel() - Method in class net.openai.ai.nn.gui.topology.NetworkPane: Method declaration
getMutationSelectionAlgorithm() - Method in class net.openai.ai.ga.world.World: Returns the current mutation selection algorithm.
getName() - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation: Returns the name of this permutation list
getName() - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString: Gets the name of this binary string
getName() - Method in class net.openai.ai.ga.world.World: Returns the name of this World.
getName() - Method in class net.openai.ai.nn.gui.data.GUILayer: Returns the name of this layer
getName() - Method in class net.openai.ai.nn.gui.properties.SelectionList: Getter for property _name.
getName() - Method in class net.openai.ai.nn.gui.properties.SelectionEntry: Getter for property _name.
getName() - Method in class net.openai.ai.nn.gui.properties.Property: Returns the Propertyname
getName() - Method in class net.openai.ai.nn.gui.widgets.AITreeNode: Returns the actual nodename
getName() - Method in class net.openai.ai.nn.network.Layer: Gets the name for this layer.
getName() - Method in class net.openai.util.fsm.State: Returns the name of this state.
getNetwork() - Method in class net.openai.ai.nn.gui.data.GUINetwork: Method declaration
getNetwork() - Method in class net.openai.ai.nn.gui.data.DataModel: Returns the GUINetwork
getNetwork() - Method in class net.openai.ai.nn.network.Layer: Returns the network which holds this layer
getNetworkPane() - Method in class net.openai.ai.nn.gui.topology.NetworkFrame: returns the NetworkPane
getNeuron() - Method in interface net.openai.ai.nn.gui.data.GUINeuron: Returns the encapsulated neuron
getNeuron() - Method in class net.openai.ai.nn.gui.data.AbstractGUINeuron: Returns the neuron.