The work introduces an elastic and platform-agnostic approach to probabilistic logic programming aimed at linking this paradigm with modern mainstream programming platforms, thus widening its usability and portability (e.g. towards the JVM, Android, Python, and JavaScript platforms). We design our solution as an extension of the 2P-Kt symbolic AI ecosystem to inherit its multi-platform and multi-paradigm nature.
Probabilistic logic programming in 2P-KT / Dellaluce J.; Calegari R.; Ciatto G.. - ELETTRONICO. - 3078:(2022), pp. 19-32. (Intervento presentato al convegno 2021 International Conference of the Italian Association for Artificial Intelligence, AIxIA 2021 DP tenutosi a Milano, online nel 2021).
Probabilistic logic programming in 2P-KT
Dellaluce J.
;Calegari R.
;Ciatto G.
2022
Abstract
The work introduces an elastic and platform-agnostic approach to probabilistic logic programming aimed at linking this paradigm with modern mainstream programming platforms, thus widening its usability and portability (e.g. towards the JVM, Android, Python, and JavaScript platforms). We design our solution as an extension of the 2P-Kt symbolic AI ecosystem to inherit its multi-platform and multi-paradigm nature.| File | Dimensione | Formato | |
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paper-29.pdf
accesso aperto
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