dogear

enter for all results · esc to close

Automated Biodesign Engineering by Abductive Meta-Interpretive Learning

arxiv.orgsite

AAAI Spring Symposium Series 2021 on Artificial Intelligence for Synthetic Biology, 2021. [All Versions]. This work proposes an automated biodesign engineering framework empowered by Abductive Meta-Interpretive Learning (MetaAbd), a novel machine learning approach that combines…

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

similar

  1. Human Comprehensible Active Learning of Genome-Scale Metabolic Networks arxiv.org

    AAAI Spring Symposium Series 2023 on Computational Scientific Discovery, 2023. [All Versions]. [Extended Abstract]. [Slides]. This work introduces a novel machine learning framework ILP-iML1515 based on Inductive Logic Programming (ILP) that performs abductive logical reasoning…

  2. Bridging Machine Learning and Logical Reasoning by Abductive Learning. papers.neurips.cc

    NeurIPS'19, 2019. [All Versions]. [Slides]. [Code]. The original paper on Abductive Learning, a derivative-free approach for neuro-symbolic learning.

  3. Abductive learning: towards bridging machine learning and logical reasoning link.springer.com

    Science China Information Sciences, 2019. [All Versions].

  4. Meta-Interpretive Learning as Metarule Specialisation arxiv.org

    Machine Learning, 2021. [All Versions].

  5. Balancing autonomy and expertise in autonomous synthesis laboratories nature.com

    Nature Computational Science, 2025. [All Versions]. Autonomous synthesis laboratories promise to streamline the plan–make–measure–analyze iteration loop. Here, the authors comment on the barriers in the field, the promise of a human on-the-loop approach, and strategies for…

  6. Abduction and styles of scientific thinking link.springer.com

    Synthese, 2021. [All Versions]. A computational philosophy account connecting Abduction and scientific thinking.

AGI & CoCoSci › Papers > Abduction > Applications in AI: “AAAI Spring Symposium Series 2021 on Artificial Intelligence for Synthetic Biology, 2021. [All Versions]. This work proposes an automated biodesign engineering framework empowered by Abductive Meta-Interpretive Learning (MetaAbd), a novel machine learning approach that combines…”