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Probabilistic logic programming in 2P-Kt

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Giovanni Ciatto

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 us-
ability 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.

hosting event
world AIxIA 2021
reference publication
page_white_acrobat Probabilistic logic programming in 2P-Kt (paper in proceedings, 2022) — Jason Dellaluce, Roberta Calegari, Giovanni Ciatto
reference thesis
works as
reference talk for
page_white_acrobat Probabilistic logic programming in 2P-Kt (paper in proceedings, 2022) — Jason Dellaluce, Roberta Calegari, Giovanni Ciatto

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Probabilistic logic programming in 2P-Kt
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talk
— language
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who
— speakers
Giovanni Ciatto
— authors
Jason Dellaluce  •  Roberta Calegari  •  Giovanni Ciatto
where & when
— context
20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021)
— place
Milano (Virtual Conference)
— date
01/12/2021
APICe
— hosting event
AIxIA 2021
— reference publication
Probabilistic logic programming in 2P-Kt
— reference thesis
Enhancing Symbolic AI Ecosystems with Probabilistic Logic Programming: a Kotlin Multi-Platform Case Study – Jason Dellaluce