Table of contents

Overview
A sample run
The AI matrix
List of parameters
Further references
Credits
Bug report

List of parameters

Main matrix rows: the number of rows of the main matrix.

Main matrix columns: the number of columns of the main matrix.

Element matrix rows: the number of rows of an element matrix, ie. a main matrix node.

Element matrix columns: the number of columns of an element matrix, ie. a main matrix node.

Block factor: how many times a node is processed by the algorithm before moving on to the next node.

Connection depth: the level of the virtual tree (ie., a traversal tree without the usual explicitly declared structure).

Connectivity: expressed in percentage terms, the number of nodes each node of the main matrix is connected to.

High end of element number range: the maximum integer used in element matrix nodes.

Number of input regions: how many regions (of equal size, except for the remainder) the number of input nodes are divided into.

Number of output regions: how many regions (of equal size, except for the remainder) the number of output nodes are divided into.

Active input region: which of the available input regions is selected to provide input to the inner matrix.

Active output region: which of the available output regions is selected to collect the output from the inner matrix.