Function Map-Driven Development for AGI

Masahiko Osawa, Takashi Omori, Koichi Takahashi, Naoya Arakawa, Naoyuki Sakai, Michita Imai, Hiroshi Yamakawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper introduces the function map, a directed graph containing “function nodes,” each of which consists of the description of a function, tasks, an implementation, and associated brain areas. A function is implemented when the implementation on the node accomplishes the tasks. To construct an AGI system, its overall functions must be decomposed to a large number of sub-functions. To facilitate decomposition, we propose a function map-driven development, in which a function map with a hierarchical structure is continuously constructed. This approach requires research and development to fill in incomplete function maps for continuous improvement. Upon the completion of the internal implementation of the top-level functions, the function map can be converted to a cognitive architecture representation. The map can also be converted to a roadmap for implementation of AGI by supplementing person-hours for the implementations that have yet to be realized.

Original languageEnglish
Title of host publicationBiologically Inspired Cognitive Architectures 2018 - Proceedings of the Ninth Annual Meeting of the BICA Society
EditorsAlexei V. Samsonovich
PublisherSpringer Verlag
Number of pages6
ISBN (Print)9783319993157
Publication statusPublished - 2019
Event9th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2018 - Prague, Czech Republic
Duration: 2018 Aug 222018 Aug 24

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Other9th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2018
Country/TerritoryCzech Republic


  • Artificial general intelligence
  • Function map
  • Whole brain architecture

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science


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