認知科学
Online ISSN : 1881-5995
Print ISSN : 1341-7924
ISSN-L : 1341-7924
特集 認知科学から見た深層学習の地平線
超知能の作り方
松田 卓也
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ジャーナル フリー

2022 年 29 巻 1 号 p. 24-35

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We discuss possible paths to create a superintelligence, which is an artificial general intelligence (AGI) of immense intellectual capacity. We argue that the creation of the superintelligence has huge political/economic/cultural impacts on the world. There could be two approaches to creating AGI: the biological approach and the engineering one. In the former case, it is necessary to find the master algorithm operating in the human neocortex. We argue that a possible model of the master algorithm is a dynamical Bayesian network. In the latter approach, we are witnessing a big progress in Natural Language Processing AI such as Transformer, BERT, GPT-3 etc. which are exhibiting a glimpse of real human intelligence. We discuss that the key element is the attention mechanism.

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© 2022 日本認知科学会
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