Building a humanlike integrative artificial cognitive system, that is, an artificial general intelligence, is one of the goals in artificial intelligence and developmental robotics. Furthermore, a computational model that enables an artificial cognitive system to achieve cognitive development will be an excellent reference for brain and cognitive science. This paper describes the development of a cognitive architecture using probabilistic generative models (PGMs) to fully mirror the human cognitive system. The integrative model is called a whole-brain PGM (WB-PGM). It is both brain-inspired and PGMbased. In this paper, the process of building the WB-PGM and learning from the human brain to build cognitive architectures is described.

翻译：建立人性化综合人工认知系统,即人工一般智能,是人工智能和发育机器人的目标之一。此外,使人工认知系统能够实现认知发展的计算模型将是大脑和认知科学的绝佳参考。本文描述了利用概率基因化模型(PGMs)来充分反映人类认知系统的认知结构的发展。综合模型称为全脑PGM(WB-PGM) 。它既由大脑启发,又以PGM为基础。本文描述了建立WB-PGM的过程以及从人类大脑中学习建立认知结构的过程。