Skip to Content

On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors

   page       BibTeX_logo.png       attach   
copertina della pubblicazione
pub-cover.jpg

On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors
— stato
pubblicato
— tipo
articolo in atti
chi
— autori
Matteo Magnini  •  Giovanni Ciatto  •  Andrea Omicini
— curatori
Davide Calvaresi  •  Amro Najjar  •  Michael Winikoff  •  Kary Främling
dove e quando
— data di pubblicazione
2022
— volume
Explainable and Transparent AI and Multi-Agent Systems
— serie
Lecture Notes in Computer Science
— volume n.
13283
— capitolo
6
— pagine
90–108
— numero di pagine
19
— editore
Springer
URL
URL
— DBLP
conf/atal/MagniniCO22
— DOI
10.1007/978-3-031-15565-9_6
— IRIS
11585/899511
— Lens
001-522-718-541-434
— OpenAlex
W4297897134
— Google Scholar
7587528289517313138
— Scopus
2-s2.0-85138317005
— Semantic Scholar
252545848
— Web of Science
WOS:000870042100006
ISBN & ISSN
— ISSN
0302-9743
— E-ISSN
1611-3349
— ISBN
978-3-031-15564-2
— E-ISBN
978-3-031-15565-9
APICe
— presentazione di riferimento
On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors
— rivista o collana
Lecture Notes in Computer Science
— evento origine
EXTRAAMAS 2022
— progetto finanziatore
EXPECTATION
note
— nota
4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9–10, 2022, Revised Selected Papers