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Register a new userWhole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots
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Added by
Tadahiro Taniguchi
Publication date
2021
fields
Informatics Engineering
and research's language is
English
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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.
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