JSAI2022

Presentation information

Organized Session

Organized Session » OS-19

[2M6-OS-19d] 世界モデルと知能(4/4)

Wed. Jun 15, 2022 5:20 PM - 6:40 PM Room M (Room B-2)

オーガナイザ:鈴木 雅大(東京大学)、岩澤 有祐(東京大学)[現地]、河野 慎(東京大学)、熊谷 亘(東京大学)、森 友亮(スクウェア・エニックス)、松尾 豊(東京大学)

View presentations(録画データは2M6-OS-19cから連続しています)

6:20 PM - 6:40 PM

[2M6-OS-19d-04] A Whole Brain Probabilistic Generative Model

Approach for Cognitive Architecture of Developmental Robots

〇Tadahiro Taniguchi Taniguchi1, Hiroshi Yamakawa2,6, Takayuki Nagai3, Kenji Doya4, Masamichi Sakagami5, Masahiro Suzuki6, Tomoaki Nakamura7, Akira Taniguchi1 (1. Ritsumeikan University, 2. The Whole Brain Architecture Initiative, 3. Osaka University, 4. OIST, 5. Tamagawa University, 6. The University of Tokyo, 7. The University of Electro-Communications)

Keywords:Cognitive architecture, Probabilistic generative model, Brain-inspired artificial intelligence, Cognitive developmental robotics, Symbol emergence in robotics

This paper describes a concept for building a human-like integrative artificial cognitive system, that is, an artificial general intelligence (AGI). The aim is to develop a computational model that enables an artificial system to achieve cognitive development
by referring human brain structure. The approach is called a whole brain probabilistic generative model (WB-PGM). WB-PGM is based on two ideas: (1) brain-inspired AI, learning human brain architecture to build human-level intelligence, and (2) a probabilistic generative model(PGM)-based cognitive architecture to develop a cognitive system for developmental robots by integrating PGMs.

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