{"slug": "towards-a-universal-language-of-concepts-a-survey", "title": "Towards a universal language of concepts: A survey", "summary": "A survey paper submitted to arXiv on September 3, 2026, proposes that computer programs are a strong candidate for a universal representation of concepts, reviewing computational models of concept learning that use programs as their concept representation. The paper, titled 'Towards a universal language of concepts: A survey,' evaluates these models' contribution toward a universal representational language, aiming to address how humans learn and generalize novel concepts from sparse data.", "body_md": "# Computer Science > Artificial Intelligence\n\n  [Submitted on 3 Sep 2026]\n\n# Title:Towards a universal language of concepts: A survey\n\n[View PDF](/pdf/2609.04528)\n\n[HTML (experimental)](https://arxiv.org/html/2609.04528v1)\n\nAbstract:Humans can learn and generalize novel concepts from sparse data because they express knowledge in rich structural formats. In this paper, we propose that programs are a strong candidate for universal representation of concepts. We review computational models of concept learning that use programs as their concept representation and evaluate their contribution toward a universal representational language.\n    \n\n### Current browse context:\n\ncs.AI\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer \n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers \n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps \n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations \n\n*(*[What are Smart Citations?](https://www.scite.ai/))\n# Code, Data and Media Associated with this Article\n\nalphaXiv \n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers \n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub \n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub \n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face \n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast \n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))\n# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower \n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender \n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))\n# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [**Learn more about arXivLabs**](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/towards-a-universal-language-of-concepts-a-survey", "canonical_source": "https://arxiv.org/abs/2609.04528", "published_at": "2026-09-07 04:00:00+00:00", "updated_at": "2026-09-07 04:28:41.721917+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "ai-research"], "entities": ["arXiv"], "alternates": {"html": "https://wpnews.pro/news/towards-a-universal-language-of-concepts-a-survey", "markdown": "https://wpnews.pro/news/towards-a-universal-language-of-concepts-a-survey.md", "text": "https://wpnews.pro/news/towards-a-universal-language-of-concepts-a-survey.txt", "jsonld": "https://wpnews.pro/news/towards-a-universal-language-of-concepts-a-survey.jsonld"}}