Symbolic Knowledge Extraction via PSyKE. A Tutorial


Giovanni Ciatto  /  Giovanni Ciatto, Matteo Magnini, Federico Sabbatini

PsyKE: a platform providing general-purpose support to symbolic knowledge extraction from different sorts of black-box predictors via many extraction algorithms. Notably, PSyKE targets the extraction of symbolic knowledge in logic form, making it possible to extract first-order logic clauses as output. The extracted knowledge is thus both machine- and human- interpretable, and it can be used as a starting point for further symbolic processing—e.g., automated reasoning.

Events

  • 24th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2022) — 16/11/2022–18/11/2022

Talk

— speakers

— authors

— sort

tutorial

— language

wgb.gif

Context

PRIMA 2022

— where

Valencia, Spain

— when

16/11/2022

Links

— external

External Link

Partita IVA: 01131710376 - Copyright © 2008-2022 APICe@DISI Research Group - PRIVACY