Patent ID: 7152051

Claim:
A stacked neural network, consisting essentially of: a plurality of architecturally distinct, separately trainable, ordered neural networks of varying complexity; said plurality being organized in a linear hierarchy of complexity from lower to higher order/stages in a model of cognitive development, wherein output from each member at a respectively lower order/stage provides the input for the next respectively higher order/stage member, substantially without skipping order/stages; each member of said plurality feeding signals forward and back to other members of said plurality; said signals being defined in terms of actions available to said each member, said each member transforming actions from at least one member at a lower order/stage, to produce nonarbitrary organizations of said actions from said at least one member at a lower order/stage effective for completing new tasks of increased complexity; said nonarbitrary organizations being fed to at least one member at a higher order/stage; and said nonarbitrary organizations being modifiable by feedback signals from members at said higher order/stages.