TY - GEN
T1 - Function Map-Driven Development for AGI
AU - Osawa, Masahiko
AU - Omori, Takashi
AU - Takahashi, Koichi
AU - Arakawa, Naoya
AU - Sakai, Naoyuki
AU - Imai, Michita
AU - Yamakawa, Hiroshi
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Artificial general intelligence
KW - Function map
KW - Whole brain architecture
UR - http://www.scopus.com/inward/record.url?scp=85053182847&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-99316-4_32
DO - 10.1007/978-3-319-99316-4_32
M3 - Conference contribution
AN - SCOPUS:85053182847
SN - 9783319993157
T3 - Advances in Intelligent Systems and Computing
SP - 239
EP - 244
BT - Biologically Inspired Cognitive Architectures 2018 - Proceedings of the Ninth Annual Meeting of the BICA Society
A2 - Samsonovich, Alexei V.
PB - Springer Verlag
T2 - 9th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2018
Y2 - 22 August 2018 through 24 August 2018
ER -