EDU.gatech.cc.is.clay
Class v_WinnerTakeAll_va

java.lang.Object
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  +--EDU.gatech.cc.is.clay.Node
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        +--EDU.gatech.cc.is.clay.NodeVec2
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              +--EDU.gatech.cc.is.clay.v_WinnerTakeAll_va

public class v_WinnerTakeAll_va
extends NodeVec2

Combine an array of embedded schemas using a winner-take-all policy. Configuration is done by setting the values of the embedded[] weights[] arrays.

For detailed information on how to configure behaviors, see the Clay page.

Copyright (c)1997, 1998 Tucker Balch


Field Summary
static boolean DEBUG
          Turn debug printing on or off.
 NodeVec2[] embedded
          The embedded nodes to multiply by the weights and sum.
static int MAX_COMPONENTS
          Maximum number of components of an v_WinnerTakeAll_va node.
 double[] weights
          The weights to multiply the nodes by.
 
Fields inherited from class EDU.gatech.cc.is.clay.Node
DEBUG, embedded_nodes
 
Constructor Summary
v_WinnerTakeAll_va()
          Instantiate a v_WinnerTakeAll_va node.
 
Method Summary
 Vec2 Value(long timestamp)
          Return a Vec2 representing the greatest of the embedded nodes.
 
Methods inherited from class EDU.gatech.cc.is.clay.Node
initTrial
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

DEBUG

public static final boolean DEBUG
Turn debug printing on or off.

MAX_COMPONENTS

public static final int MAX_COMPONENTS
Maximum number of components of an v_WinnerTakeAll_va node.

embedded

public NodeVec2[] embedded
The embedded nodes to multiply by the weights and sum.

weights

public double[] weights
The weights to multiply the nodes by.
Constructor Detail

v_WinnerTakeAll_va

public v_WinnerTakeAll_va()
Instantiate a v_WinnerTakeAll_va node.
Method Detail

Value

public Vec2 Value(long timestamp)
Return a Vec2 representing the greatest of the embedded nodes.
Overrides:
Value in class NodeVec2
Parameters:
timestamp - long, only get new information if timestamp > than last call or timestamp == -1.
Returns:
the vector weighted sum.