Brian K. Smith: Afeto, Cognição e Inteligência Artificial Musical

Anselmo Guerra

doi:10.33871/vortex.2026.14.12179

Authors

Anselmo Guerra Universidade Federal de Goiás (UFG) | Goiânia, Goiás, Brasil https://orcid.org/0000-0001-9865-1386

DOI:

https://doi.org/10.33871/vortex.2026.14.12179

Keywords:

Brian K. Smith, Musical Artificial Intelligence;, Music Cognition, Affective Computing, Systematic Musicology

Abstract

This article examines Brian K. Smith’s intellectual trajectory in the field of Artificial Intelligence applied to music, using his publications as a framework for analyzing the development of rule-based models and the progressive incorporation and refinement of Case-Based Reasoning (CBR). The study begins with “Affect and Musical Composition from Natural Environment Representations,” presented at SBIA 1991, and follows the later development of the MILES and SCORE! systems at the MIT Media Lab. The analysis considers how these models articulate affective representation, memory, narrative, and human-computer mediation, while also discussing their conceptual and historical limitations. Finally, Smith’s contribution is situated in dialogue with contemporary debates on interpretability, affective computing, hybrid architectures, and human participation in generative music systems.

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Author Biography

Anselmo Guerra, Universidade Federal de Goiás (UFG) | Goiânia, Goiás, Brasil

Anselmo Guerra is a Full Professor at the Federal University of Goiás (UFG), where he teaches and conducts research in composition, music technology, artificial intelligence applied to music, and related fields. He is Editor-in-Chief of Música Hodie, the journal of the Graduate Program in Music at UFG.

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