Chapter

Neural Information Processing

Volume 9947 of the series Lecture Notes in Computer Science pp 275-281

Date:

Whole Brain Architecture Approach Is a Feasible Way Toward an Artificial General Intelligence

  • Hiroshi YamakawaAffiliated withDwango Artificial Intelligence Laboratory, DWANGO Co., Ltd. Email author 
  • , Masahiko OsawaAffiliated withDwango Artificial Intelligence Laboratory, DWANGO Co., Ltd.
  • , Yutaka MatsuoAffiliated withDwango Artificial Intelligence Laboratory, DWANGO Co., Ltd.

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Abstract

In recent years, a breakthrough has been made in infant level AI due to the acquisition of representation, which was realized by deep learning. By this, the construction of AI that specializes in a specific task that does not require a high-level understanding of language is becoming a possibility. The primary remaining issue for the realization of human-level AI is the realization of general intelligence capable of solving flexible problems by combining highly reusable knowledge. Therefore, this research paper explores the possibility of approaching artificial general intelligence with such abilities based on mesoscopic connectome.

Keywords

Artificial general intelligence Computational neuroscience Biologically inspired cognitive architecture