pmt.report Pragmatic Magic Theory — Technical Report Series

A Pragmatic Framework for the Formal Classification of Fictional Magic Systems

PMT Research Collective
pmt.report · March 2026 · Working Paper PMT-2026-001

Abstract

This paper presents a formal framework for classifying fictional magic systems according to their computational, thermodynamic, and narrative properties. We introduce the Source-Cost-Limit-Effect (SCLE) taxonomy and demonstrate its applicability across 47 published magic systems from contemporary fantasy literature. Our analysis reveals structural patterns suggesting that well-received magic systems converge toward engineering-like constraint satisfaction, supporting the Pragmatic Magic Theory hypothesis.

Keywords: magic systems, formal classification, narrative engineering, SCLE taxonomy, world-building

Introduction

The treatment of fictional magic systems as formal objects of study has been largely absent from academic discourse. While narrative theory has developed sophisticated tools for analyzing plot structure, character development, and thematic resonance, the internal mechanics of magic systems remain under-theorized.

Pragmatic Magic Theory (PMT) addresses this gap by applying engineering principles to the analysis of fictional magic. Just as software systems are evaluated for their architecture, constraints, and failure modes, PMT proposes that magic systems can be similarly decomposed and classified.

The SCLE Taxonomy

We propose a four-dimensional taxonomy for classifying magic systems:

Magic System Source Cost Limit Effect Internal External Transform Create
Figure 1. Directed acyclic graph of the SCLE taxonomy. Root node branches into four primary dimensions, each with domain-specific subtypes.

Each dimension captures a fundamental property of the magic system. Source addresses the origin of magical energy. Cost quantifies the price paid for its use. Limit defines boundary conditions. Effect describes the output domain.

Comparative Analysis

We applied the SCLE taxonomy to 47 magic systems drawn from published fantasy literature (2000–2025). Table 1 presents a representative sample.

System Source Cost Limit Hardness
Allomancy Internal (metal) Resource depletion Metal-specific 0.92
Sympathy External (heat) Energy conservation Thermodynamic 0.88
The Force Ambient (midi) Emotional strain Poorly defined 0.31
Nen Internal (aura) Training + life Type-restricted 0.85
Channeling External (source) Fatigue Talent ceiling 0.76
Table 1. SCLE classification of selected magic systems with computed hardness scores (0 = soft, 1 = hard).

Conclusion

Our analysis demonstrates that the SCLE taxonomy provides a consistent and useful framework for classifying fictional magic systems. Systems with higher hardness scores (>0.7) consistently exhibit clearer constraint satisfaction properties, supporting the core PMT hypothesis: well-engineered magic systems behave like well-engineered software systems.

Future work will extend this framework to include temporal dynamics, multi-system interactions, and reader perception studies. The full dataset and taxonomy specification are available at pmt.report.

References

  1. Sanderson, B. (2007). "Sanderson's First Law of Magics." Brandon Sanderson Blog.
  2. Vonnegut, K. (1981). "The Shapes of Stories." Palm Sunday, Delacorte Press.
  3. Togashi, Y. (1998). "Nen System Design Notes." Hunter x Hunter, Vol. 7, Shueisha.
  4. Jordan, R. (1990). The Eye of the World. Tor Books.
  5. PMT Collective. (2026). "SCLE Taxonomy Specification v1.0." pmt.report.