1. A method of brain-like (BL) computing virtualization with its operating environment of vertical and horizontal architectures wherein the vertical architecture comprises an affective engine, a conscious engine and an unconscious engine, and the horizontal architecture comprises three layers: (1) a BL application layer, (2) a BL operating system and virtual machine monitor (OS/VMM) layer, which comprises a BL VMM and a BL OS sublayer, the BL OS sublayer comprises an affective engine OS, a conscious engine OS, and an unconscious engine OS, and (3) a BL hardware layer; said BL OS/VMM layer has reentrant BL cycles for said method to process the information of a BL concept entity (BCE), as a node of a BL Concept Network (BCN); said method comprising two types of said reentrant BL cycles wherein a Type 1 BL Cycle comprises: consolidating at least one BCE in a chaos state (chaos BCE) by the unconscious engine OS; entering the BL VMM and executing a binding problem 1 (BP 1) solution in the BL VMM wherein a micro emergence model uses said chaos BCE with or without external stimulus to generate a unitary operation object or an object to be entangled locally or remotely; and if a new BCE from the consolidating is a chaos BCE, creating, by a virtual brain-like state machine (VBSM), a set of metadata and a non-synchronized BCN node, accepting a dispatch from a BL scheduler performing parallel processing for the BL VMM, leaving the BL VMM, and returning to the unconscious engine OS; a Type 2 BL Cycle comprises: sending subjective experience from the conscious engine as a new BCE to enter the BL VMM; executing a BP 1 solution in the BL VMM: the micro emergence model using said subjective experience with or without external stimulus to generate the unitary operation object or an object entangled locally or remotely; if the new BCE has an ordered or critical state, entering a binding problem 2 (BP 2) solution; executing the BP2 solution in the BL VMM: decomposing the BCE; if the BCE is an attractor, experiencing von Neumann process 2 first and von Neumann process 1 secondly; upon a strong insistent attention, measuring an entangled result, or, upon the involvement of weak attention, experiencing von Neumann process 2 and then von Neumann process 1, but a measurement in von Neumann process 1 has a weak insistent attention; upon a permission of attention, the BCE leaving a von Neumann cycle and continuing a BP2 solution cycle; correcting possible BL errors by Error Cancellation; creating a set of metadata and a synchronized BCN node by said VBSM; accepting a dispatch from the BL scheduler performing network processing for the BL VMM, leaving the BL VMM and entering the conscious engine OS; if the BCE entering the conscious engine OS is for creating events or semantics, executing a BL cognition model (BCM) of the conscious engine OS; evaluating to give the BCE an intelligence grade; and completing the Type 2 BL remaining cycle: saving the BCE, optionally making the BCE as an output to an outside world or internal effector, optionally performing a macro emergence model to realize an emergence communication model, and re-entering the BL VMM with the new BCE or subjective experience.