@inbook{7f6312bbafa1453fa658eb4bc039fc0b,
title = "Neuro Symbolic Learning with Differentiable Inductive Logic Programming",
abstract = "In this chapter, we describe how a logic program can be learned from data in a neuro symbolic framework. Our focus is on the gradient-based method known as differentiable inductive logic programming (ILP), which combines concepts from ILP with a neural architecture to support gradient-based learning. Additionally, we also cover several other paradigms to learn logical structures in a neuro symbolic framework.",
author = "Paulo Shakarian and Chitta Baral and Simari, {Gerardo I.} and Bowen Xi and Lahari Pokala",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2023",
doi = "10.1007/978-3-031-39179-8_8",
language = "English (US)",
series = "SpringerBriefs in Computer Science",
publisher = "Springer",
pages = "75--87",
booktitle = "SpringerBriefs in Computer Science",
}