mlsanityData to 7 Oct 2026

Symbol Emergence and The Solutions to Any Task

arXiv 2109.01281 ↗First posted 3 Sep 2021cs.AIcited by 9

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Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 4 of its 32 references that are in the map. First posted on arXiv 3 Sep 2021.

Builds on

4 of 32 references.

References · 4

  1. 2018Symbol Emergence in Cognitive Developmental Systems: a Surveycited by 39
  2. 2015Symbol Emergence in Robotics: A Surveycited by 31
  3. 2021Symbolic Behaviour in Artificial Intelligencecited by 24
  4. 2021Philosophical Specification of Empathetic Ethical Artificial Intelligencecited by 8

Built on by

Cited by year

Citing papers per year: 2021: 2; 2022: 1; 2023: 4; 2024: 2.

9 papers.

  1. 2023The Optimal Choice of Hypothesis Is the Weakest, Not the Shortestcited by 12
  2. 2023Emergent Causality and the Foundation of Consciousnesscited by 9
  3. 2023Computational Dualism and Objective Superintelligencecited by 8
  4. 2021Compression, The Fermi Paradox and Artificial Super-Intelligencecited by 7
  5. 2022Computable Artificial General Intelligencecited by 6
  6. 2023On the Computation of Meaning, Language Models and Incomprehensible Horrorscited by 5
  7. 2024Is Complexity an Illusion?cited by 5
  8. 2024Are Biological Systems More Intelligent Than Artificial Intelligence?cited by 4
  9. 2021The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligencecited by 3