English

Abductive Computational Systems: Creative Abduction and Future Directions

Artificial Intelligence 2025-07-14 v1

Abstract

Abductive reasoning, reasoning for inferring explanations for observations, is often mentioned in scientific, design-related and artistic contexts, but its understanding varies across these domains. This paper reviews how abductive reasoning is discussed in epistemology, science and design, and then analyses how various computational systems use abductive reasoning. Our analysis shows that neither theoretical accounts nor computational implementations of abductive reasoning adequately address generating creative hypotheses. Theoretical frameworks do not provide a straightforward model for generating creative abductive hypotheses, computational systems largely implement syllogistic forms of abductive reasoning. We break down abductive computational systems into components and conclude by identifying specific directions for future research that could advance the state of creative abductive reasoning in computational systems.

Keywords

Cite

@article{arxiv.2507.08264,
  title  = {Abductive Computational Systems: Creative Abduction and Future Directions},
  author = {Abhinav Sood and Kazjon Grace and Stephen Wan and Cecile Paris},
  journal= {arXiv preprint arXiv:2507.08264},
  year   = {2025}
}

Comments

Published in the 16th International Conference on Computational Creativity, ICCC25. Accepted Paper in https://computationalcreativity.net/iccc25/wp-content/uploads/papers/iccc25-sood2025abductive.pdf

R2 v1 2026-07-01T03:55:55.817Z