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SKI: Symbolic Knowledge Injection, state of the art and research perspectives

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Matteo Magnini
  • Introduction of Symbolic Knowledge Injection (SKI): definition and characteristics (taxonomy).
  • Brief literature overview and discussion.
  • Presentation of the design and use case of PSyKI: a platform for symbolic knowledge injection.
  • Presentation of KINS algorithm: knowledge injection via network structuring.
reference publication
Publication_icon.svg On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors (paper in proceedings, 2022) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
funding project
Project_icon.svg EXPECTATION — Personalized Explainable Artificial Intelligence for decentralized agents with heterogeneous knowledge (01/04/2021–31/03/2024)

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SKI: Symbolic Knowledge Injection, state of the art and research perspectives
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project presentation
— language
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who
— speakers
Matteo Magnini
— authors
Matteo Magnini  •  Giovanni Ciatto  •  Andrea Omicini
where & when
— context
EXPECTATION Meeting
— place
Scuola di Ingegneria, Bologna, Italy
— date
09/06/2022
APICe
— reference publication
On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors
— funding project
EXPECTATION