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Record W2003539048 · doi:10.1145/1501750.1501762

BeatBender

2008· article· en· W2003539048 on OpenAlexaff
Aaron Levisohn, Philippe Pasquier

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsComputer scienceRhythmSimple (philosophy)GRASPPerspective (graphical)Artificial intelligenceCoding (social sciences)ArchitectureCognitive scienceTheoretical computer scienceProgramming languageMathematicsPsychology

Abstract

fetched live from OpenAlex

BeatBender is a computer music project that explores a new method for generating emergent rhythmic drum patterns using the subsumption architecture. Rather than explicitly coding symbolic intelligence into the system using procedural algorithms, BeatBender uses a behavior-based model to elicit emergent rhythmic output from six autonomous agents. From an artistic perspective, the rules used to define the agent behavior provide a simple but original composition language. This language allows the composer to express simple and meaningful constraints that direct the behavior of the agent-percussionists. From these simple rules emerge unexpected behavioral interactions that direct the formation of complex rhythmic output. What is striking is that these rhythmic patterns, whose complexity is beyond human grasp, are both musically interesting and aesthetically pleasing. The output from the system is evaluated using both subjective and objective criteria to assess degrees of complexity, convergence, and aesthetic interest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score0.149

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.223
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2008
Admission routes1
Has abstractyes

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