@inbook{c37659ecd127400b9191d51dae84af20,
title = "New Ideas in Neuro Symbolic Reasoning and Learning",
abstract = "Neuro symbolic reasoning and learning is a topic that combines ideas from deep neural networks with symbolic reasoning and learning to overcome several significant technical hurdles such as explainability, modularity, verification, and the enforcement of constraints. While neuro symbolic ideas date back to the early 2000{\textquoteright}s, there have been significant advances in the last 5 years. In this chapter, we outline some of these advancements and discuss how they align with several taxonomies for neuro symbolic reasoning.",
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_1",
language = "English (US)",
series = "SpringerBriefs in Computer Science",
publisher = "Springer",
pages = "1--2",
booktitle = "SpringerBriefs in Computer Science",
}