paper-with-me

홈 › Papers

A Deep Dive into Axiomatic Design -- Part I: Problem Formulation

2026-05-25 · Aydin Homay arxiv

Problem formulation translating customer needs and constraints into a minimum set of independent first-level functional requirements, is arguably the most critical step in every design framework, including axiomatic design yet it is frequently misunderstood or underestimated in practice. This paper focuses exclusively on problem formulation in axiomatic design it clarifies what first-level FRs are (and are not), explains why they should not legitimately vary across designers given the same needs and constraints, and highlights intrinsic difficulties and recurring pitfalls that lead to design failure. The discussion is grounded primarily in Nam P.Suh's three books. The Principles of Design, Axiomatic Design Advances and Applications, and Complexity Theory, and it offers practical guidance to help designers formulate well-posed first-level FRs. Finally, the paper briefly revisits problem formulation in the era of large language models and discusses what such tools can (and cannot) contribute at the first level.

📄 PDF Abstract BibTeX arXiv:2605.25735

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

An Axiomatic Analysis of Diversity Evaluation Metrics: Introducing the Rank-Biased Utility Metric

2018-08-19 · Amigó Enrique, Spina Damiano, Carrillo-de-Albornoz Jorge

Many evaluation metrics have been defined to evaluate the effectiveness ad-hoc retrieval and search result diversification systems. However, it is often unclear which evaluation metric should be used to analyze the perfo…

DiversityRetrieval

Entropy and Diversity: The Axiomatic Approach

2020-12-03 · Tom Leinster

This book brings new mathematical rigour to the ongoing vigorous debate on how to quantify biological diversity. The question "what is diversity?" has surprising mathematical depth, and breadth too: this book involves pa…

Diversity

Differential Voting: Loss Functions For Axiomatically Diverse Aggregation of Heterogeneous Preferences

2026-01-25 · Zhiyu An, Duaa Nakshbandi, Wan Du arxiv

Reinforcement learning from human feedback (RLHF) implicitly aggregates heterogeneous human preferences into a single utility function, even though the underlying utilities of the participants are in practice diverse. He…

Reinforcement Learning

Four Axiomatic Characterizations of the Integrated Gradients Attribution Method

2023-06-23 · Daniel Lundstrom, Meisam Razaviyayn

Deep neural networks have produced significant progress among machine learning models in terms of accuracy and functionality, but their inner workings are still largely unknown. Attribution methods seek to shine a light …

Choice functions based on sets of strict partial orders: an axiomatic characterisation

2020-03-25 · Jasper De Bock

Methods for choosing from a set of options are often based on a strict partial order on these options, or on a set of such partial orders. I here provide a very general axiomatic characterisation for choice functions of …