Chapter 3. Architectural Patterns for Neuro-Symbolic AI

Author:

ten Teije Annette1,van Harmelen Frank2

Affiliation:

1. Vrije Universiteit Amsterdam, annette.ten.teije@vu.nl

2. Vrije Universiteit Amsterdam, frank.van.harmelen@vu.nl

Abstract

We propose a set of architectural patterns that describe a large variety of neuro-symbolic systems. As in other areas of computer science (knowledge engineering, software engineering, ontology engineering, process mining and others), such design patterns provide a unified vocabulary to describe a large variety of systems, help to systematise the literature, clarify which combinations of techniques serve which purposes, and encourage re-use of software components. We have validated our set of compositional design patterns against a large body of recent literature, and we apply them to a number of systems described in the different sections of this volume. Sections 1.1-1.7 of this chapter are based on our earlier publications [1] and [2], the new contributions of this chapter are in section 1.5 and 1.6.

Publisher

IOS Press

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A methodology for representing and assessing artificial intelligence decision aids within modeling and simulation;Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI;2024-06-07

2. SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning;Proceedings of the 12th Knowledge Capture Conference 2023;2023-12-05

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