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Symbol Emergence and the Solutions to Any Task

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Artificial General Intelligence (AGI 2021)

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

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Abstract

The following defines intent, an arbitrary task and its solutions, and then argues that an agent which always constructs what is called an Intensional Solution would qualify as artificial general intelligence. We then explain how natural language may emerge and be acquired by such an agent, conferring the ability to model the intent of other individuals labouring under similar compulsions, because an abstract symbol system and the solution to a task are one and the same.

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Author information

Authors and Affiliations

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

    Michael Timothy Bennett

Authors
  1. Michael Timothy Bennett
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Correspondence to Michael Timothy Bennett .

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Editors and Affiliations

  1. SingularityNET, Amsterdam, The Netherlands

    Ben Goertzel

  2. SingularityNET, Amsterdam, The Netherlands

    Matthew Iklé

  3. SingularityNET, Amsterdam, The Netherlands

    Alexey Potapov

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Bennett, M.T. (2022). Symbol Emergence and the Solutions to Any Task. 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_4

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  • DOI: https://doi.org/10.1007/978-3-030-93758-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93757-7

  • Online ISBN: 978-3-030-93758-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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