@inbook{468c4adb501f434cae2eb2402c9ebf23,
title = "Fuzzy and Annotated Logic for Neuro Symbolic Artificial Intelligence",
abstract = "Various neuro symbolic approaches such as Logical Neural Networks, Logical Tensor Networks, differentiable ILP, and others rely on the use of several forms of real-valued logic and fuzzy operators. In this chapter, we review generalized annotated logic that encompasses the various logics used in neuro symbolic frameworks as well as the fuzzy operators leveraged as connectives.",
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_3",
language = "English (US)",
series = "SpringerBriefs in Computer Science",
publisher = "Springer",
pages = "15--31",
booktitle = "SpringerBriefs in Computer Science",
}