A connectionist and a traditional AI quantizer, symbolic versus sub-symbolic models of rhythm perception
Publication year
1993Author(s)
Source
Contemporary Music Review, 9, 1-2, (1993), pp. 239-254ISSN
Annotation
Themanr. o.d.t. Music and the Cognitive Sciences
Publication type
Article / Letter to editor

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Organization
SW OZ DCC CO
Former Organization
SW OZ NICI CO
Journal title
Contemporary Music Review
Volume
vol. 9
Issue
iss. 1-2
Page start
p. 239
Page end
p. 254
Subject
Composition & Orchestration; Music TechnologyAbstract
The Symbolic AI paradigm and the Connectionist paradigm have produced some incompatible models of the same domain of cognition. Two such models in the field of rhythm perception, namely the Longuet-Higgins Musical Parser and the Desain & Honing connectionist quantizer, were studied in order to find ways to compare and evaluate them. Different perspectives from which to describe their behavior were developed, providing a conceptual as well as a visual representation of the operation of the models. With these tools it proved possible to discuss their similarities and differences and to narrow the gap between sub-symbolic and symbolic models.
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