dogear

enter for all results · esc to close

Communicating artificial neural networks develop efficient color-naming systems

pnas.orgsite

Proceedings of the National Academy of Sciences, 2021. [All Versions]. Simulating the emergence of code as the communication bottleneck in color learning task.

from
AGI & CoCoSci
added
2026-10-10
likes
0

similar

  1. Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding transacl.org

    Transactions of the Association for Computational Linguistics, 2017. [All Versions].

  2. Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning arxiv.org

    ICML'20, 2020. [All Versions].

  3. Generating new concepts with hybrid neuro-symbolic models. arxiv.org

    CogSci'20, 2020. [All Versions].

  4. Individual differences among deep neural network models kriegeskortelab.zuckermaninstitute.columbia.edu

    Nature Communications, 2020. [All Versions].

  5. Shared computational principles for language processing in humans and deep language models nature.com

    Nature Neuroscience, 2022. [All Versions].

  6. Communicating Natural Programs to Humans and Machines proceedings.neurips.cc

    NeurIPS'22, 2022. [All Versions]. While humans readily generate and interpret instructions in a general language, computer systems are shackled to a narrow domain-specific language that they can precisely execute. This makes building intelligent systems that can generalize to…

AGI & CoCoSci › Papers > Communications > Non-Verbal Communication: “Proceedings of the National Academy of Sciences, 2021. [All Versions]. Simulating the emergence of code as the communication bottleneck in color learning task.”