This paper presents a blueprint to build a robo-advisor
based on a structured knowledge processing network. The
idea comes from the conceptual model of human brain operations. Knowledge Processing Units (KPU) connect each other through a message queue (MQ) system. Each KPU attached a sticker which keeps a piece of knowledge to process. The hierarchical arrangement of knowledge stickers allows human experiences to be executed to manage the portfolios of clients properly.
