本文規劃一個知識處理器架構,用來建構能持續接收新資訊的知識型理財機器人。它會處理收到的數據,儲存資訊,由句子產生概念,再歸納成規則。然後存入理財機器人的規則庫中,讓理財機器人建立認知能力。之後根據內存的結構化知識做出理財決定。
This paper presents a design to build a robo-advisor
based on knowledge processing units (KPU). Each
KPU attaches a sticker which keeps a piece of
knowledge to be processed. The hierarchical
arrangement of knowledge stickers allows human
experiences to be executed to manage the portfolios
of clients properly.
