A Potts Spin MFT Network Solving Multiple Causal Interactions

Romdhane, Lotfi Ben

A Potts Spin MFT Network Solving Multiple Causal Interactions

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Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Machine Learning. Pages 814-818.

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.

Lotfi Ben Romdhane. 1999. A Potts Spin MFT Network Solving Multiple Causal Interactions. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99. IJCAI, 814–818. https://ijcai.org/proceedings/1999/116

@inproceedings{ijcai1999p116,
  title     = {A Potts Spin MFT Network Solving Multiple Causal Interactions},
  author    = {Romdhane, Lotfi Ben},
  booktitle = {Proceedings of the Sixteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-99}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Thomas Dean},
  pages     = {814--818},
  year      = {1999},
  note      = {Machine Learning},
  url       = {https://ijcai.org/proceedings/1999/116},
}

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TI  - A Potts Spin MFT Network Solving Multiple Causal Interactions
AU  - Romdhane, Lotfi Ben
T2  - Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1999
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EP  - 818
UR  - https://ijcai.org/proceedings/1999/116
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