English

Causing is Achieving -- A solution to the problem of causation

Artificial Intelligence 2023-07-18 v1

Abstract

From the standpoint of applied ontology, the problem of understanding and modeling causation has been recently challenged on the premise that causation is real. As a consequence, the following three results were obtained: (1) causation can be understood via the notion of systemic function; (2) any cause can be decomposed using only four subfunctions, namely Achieves, Prevents, Allows, and Disallows; and (3) the last three subfunctions can be defined in terms of Achieves alone. It follows that the essence of causation lies in a single function, namely Achieves. It remains to elucidate the nature of the Achieves function, which has been elaborated only partially in the previous work. In this paper, we first discuss a couple of underlying policies in the above-mentioned causal theory since these are useful in the discussion, then summarize the results obtained in the former paper, and finally reveal the nature of Achieves giving a complete solution to the problem of what causation is.

Keywords

Cite

@article{arxiv.2307.07517,
  title  = {Causing is Achieving -- A solution to the problem of causation},
  author = {Riichiro Mizoguchi},
  journal= {arXiv preprint arXiv:2307.07517},
  year   = {2023}
}

Comments

13 pages, 3 figures

R2 v1 2026-06-28T11:30:46.954Z