Rat big, cat eaten! Ideas for a useful deep-agent protolanguage
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Abstract (arXiv)
Deep-agent communities developing their own language-like communication protocol are a hot (or at least warm) topic in AI. Such agents could be very useful in machine-machine and human-machine interaction scenarios long before they have evolved a protocol as complex as human language. Here, I propose a small set of priorities we should focus on, if we want to get as fast as possible to a stage where deep agents speak a useful protolanguage.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Mar 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1.
4 papers.
- 2021The emergence of visual semantics through communication gamescited by 5
- 2022Building Human-like Communicative Intelligence: A Grounded Perspectivecited by 4
- 2022Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networkscited by 3
- 2024Speaking Your Language: Spatial Relationships in Interpretable Emergent Communicationcited by 3
- 2024Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication11 Jun 2024
- 2022Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks14 Jan 2022
- 2022Building Human-like Communicative Intelligence: A Grounded Perspective2 Jan 2022
- 2021The emergence of visual semantics through communication games25 Jan 2021