cplint on SWISH is a web application that allows users to perform reasoning tasks on probabilistic logic programs. Both inference and learning systems can be performed: conditional probabilities with exact, rejection sampling and Metropolis-Hasting methods. Moreover, the system now allows hybrid programs, i.e., programs where some of the random variables are continuous. To perform inference on such programs likelihood weighting and particle filtering are used. cplint on SWISH is also able to sample goals’ arguments and to graph the results. This paper reports on advances and new features of cplint on SWISH, including the capability of drawing the binary decision diagrams created during the inference processes.

cplint on SWISH: Probabilistic Logical Inference with a Web Browser / Alberti, Marco; Bellodi, Elena; Cota, Giuseppe; Riguzzi, Fabrizio; Zese, Riccardo. - In: INTELLIGENZA ARTIFICIALE. - ISSN 1724-8035. - 11:1(2017), pp. 47-64. [10.3233/IA-170106]

cplint on SWISH: Probabilistic Logical Inference with a Web Browser

COTA, Giuseppe;
2017-01-01

Abstract

cplint on SWISH is a web application that allows users to perform reasoning tasks on probabilistic logic programs. Both inference and learning systems can be performed: conditional probabilities with exact, rejection sampling and Metropolis-Hasting methods. Moreover, the system now allows hybrid programs, i.e., programs where some of the random variables are continuous. To perform inference on such programs likelihood weighting and particle filtering are used. cplint on SWISH is also able to sample goals’ arguments and to graph the results. This paper reports on advances and new features of cplint on SWISH, including the capability of drawing the binary decision diagrams created during the inference processes.
2017
cplint on SWISH: Probabilistic Logical Inference with a Web Browser / Alberti, Marco; Bellodi, Elena; Cota, Giuseppe; Riguzzi, Fabrizio; Zese, Riccardo. - In: INTELLIGENZA ARTIFICIALE. - ISSN 1724-8035. - 11:1(2017), pp. 47-64. [10.3233/IA-170106]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2870765
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