Expert systems in production planning and scheduling: A state-of-the-art survey

By Kostas S. Metaxiotis, D. Askounis, J. Psarras. 2002

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Transformers as Soft Reasoners over Language (2020, background): “, [Metaxiotis et al., 2002]), building and reasoning over the required formal representations has also proved challenging [Musen and Van der Lei, 1988].”
A Review on Language Models as Knowledge Bases (2022, background): “It has been a long-standing goal of AI to reason over explicit knowledge given to it in order to reach conclusions (McCarthy, 1959; Newell and Simon, 1956; Metaxiotis et al., 2002).”
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning (2023, background): “In contrast, symbolic inference engines, such as expert systems (Metaxiotis et al., 2002), are faithful and transparent because the reasoning is based on symbolic-represented knowledge and follows well-defined inference rules that adhere to logical principles.”
Computer-aided process planning – A critical review of recent developments and future trends (2011, methodology): “2002), expert system-based process planning (Gupta and Ghosh 1989, Kiritsis 1995, Metaxiotis et al .”