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International Conference on Artificial General Intelligence

AGI 2021: Artificial General Intelligence pp 45–54Cite as

The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence

Part of the Lecture Notes in Computer Science book series (LNAI,volume 13154)

Abstract

We attempt to define what is necessary to construct an Artificial Scientist, explore and evaluate several approaches to artificial general intelligence (AGI) which may facilitate this, conclude that a unified or hybrid approach is necessary and explore two theories that satisfy this requirement to some degree.

Keywords

  • AGI
  • AI for science
  • Science robotics

This work was supported by JST (JPMJMS2033; JPMJPR17G9).

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Authors and Affiliations

  1. School of Computing, Australian National University, Canberra, Australia

    Michael Timothy Bennett & Yoshihiro Maruyama

Authors
  1. Michael Timothy Bennett
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  2. Yoshihiro Maruyama
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Corresponding author

Correspondence to Michael Timothy Bennett .

Editor information

Editors and Affiliations

  1. SingularityNET, Amsterdam, The Netherlands

    Dr. Ben Goertzel

  2. SingularityNET, Amsterdam, The Netherlands

    Matthew Iklé

  3. SingularityNET, Amsterdam, The Netherlands

    Alexey Potapov

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Bennett, M.T., Maruyama, Y. (2022). The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence. In: Goertzel, B., Iklé, M., Potapov, A. (eds) Artificial General Intelligence. AGI 2021. Lecture Notes in Computer Science(), vol 13154. Springer, Cham. https://doi.org/10.1007/978-3-030-93758-4_6

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  • DOI: https://doi.org/10.1007/978-3-030-93758-4_6

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