{"type":"ScholarlyArticle","title":"A Potts Spin MFT Network Solving Multiple Causal Interactions","authors":[{"name":"Lotfi Ben Romdhane","slug":"lotfi-ben-romdhane","given":"Lotfi Ben","family":"Romdhane","affiliation":""}],"abstract":"In this paper, we propose a Potts spin Mean Field annealed network to address the open, independent and incompatibility classes of causal reasoning (also said abduction, abductive diagnosis). The strong feature of the current work is its characterization of the reasoning task in these classes by an energy /target function. Computation of a scenario (also said explanation) is done by means of Mean Field equations. The application of the model to small and large-scale causal problems reveals its efficacy and robustness in handling varied and multiple causal interactions.","doi":null,"url":"https://ijcai.org/proceedings/1999/116","pdf":"https://ijcai.org/proceedings/1999/0116.pdf","markdown":"https://ijcai.org/proceedings/1999/116.md","bibtex":"https://ijcai.org/proceedings/1999/bibtex/116","volume":{"slug":"1999","title":"Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1999","url":"https://ijcai.org/proceedings/1999/","year":1999,"location":"Stockholm, Sweden","dates":"","editors":"Thomas Dean","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Machine Learning","track":"Machine Learning","number":116,"pages":{"first":814,"last":818},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}