What is it about?
Potency-based approaches to multi-level modeling have received a number of criticisms in the past. Many of these are not capturing actual deficiencies of these approaches and can be refuted. This paper presents a number of inappropriate criticisms and explains why they do not apply.
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Why is it important?
Understanding the true strengths and weaknesses of potency-based approaches to multi-level modeling is important so that future language designs are optimally informed.
Perspectives
The paper is not meant to criticise other work, it is rather meant to bring clarity to the discussion of potency-based approaches.
Thomas Kuehne
Victoria University of Wellington
Read the Original
This page is a summary of: Misconceptions about Potency-Based Deep Instantiation, September 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3652620.3688213.
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