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Declarative bespoke modelling: A new approach

DBM Collaboration, David Komanek, Vaclav Pavlík, Santiago Jimenez, Rhys Taylor

Abstract

Modern numerical models are increasingly complex, opaque, and computationally expensive, yet frequently fail to predict even qualitative features of observed phenomena. We propose a new paradigm, Declarative Bespoke Modelling, in which the modeller explicitly declares the relationship between model inputs and outputs. We demonstrate that this approach achieves perfect predictive accuracy, unconditional numerical stability, and complete interpretability. It represents a natural endpoint of contemporary modelling practice and near-zero CO2 emission.

Declarative bespoke modelling: A new approach

Abstract

Modern numerical models are increasingly complex, opaque, and computationally expensive, yet frequently fail to predict even qualitative features of observed phenomena. We propose a new paradigm, Declarative Bespoke Modelling, in which the modeller explicitly declares the relationship between model inputs and outputs. We demonstrate that this approach achieves perfect predictive accuracy, unconditional numerical stability, and complete interpretability. It represents a natural endpoint of contemporary modelling practice and near-zero CO2 emission.

Paper Structure

This paper contains 7 sections, 1 equation, 1 figure.

Table of Contents

  1. Introduction
  2. Declarative Bespoke Modelling
  3. Conceptual Framework
  4. Numerical Implementation
  5. Results
  6. Discussion & Outlook
  7. DBM Collaboration

Figures (1)

  • Figure 1: Correlation analysis between ground truth and DBM predictions. The plot demonstrates unconditional linearity. Note the complete absence of outliers. Made with markers from pasta1pasta2 "to greatly enhance the ability to identify and interpret key features in complex datasets".