Recent advances in algorithmic learning theory of the Kanban cell neuron network

A novel algorithm of learning is defined as the Kanban cell neuron model (KCNM). The analysis captures the salient properties of the concrete application of the associated look up table (LUT). The purpose of this system is to foster a structure for machine cognition. The Kanban cell (KC) forms the basis of mapping human neurons into logical networks. The Kanban cell neuron (KCN) maps nine input signals of the dendrites into one output signal of the axon. The logical mechanism is the multivalued logic of four-valued bit code as a 2-tuple of the set {00, 01, 10, 11}. The LUT is indexed by 18-bits as input for output of 2-bits. In a preferred hardware implementation, the rate of processing is 1.8 BB KCNs per second on a $29 device.