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Record W2118163517 · doi:10.1177/0037549712450360

System theoretic foundations of modeling and simulation: a historic perspective and the legacy of A Wayne Wymore

2012· article· en· W2118163517 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSIMULATION · 2012
Typearticle
Languageen
FieldDecision Sciences
TopicSimulation Techniques and Applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRelation (database)Computer sciencePerspective (graphical)Modeling and simulationSoftware engineeringDiscrete event simulationEvent (particle physics)Systems engineeringTheoretical computer scienceArtificial intelligenceEngineeringSimulationData mining

Abstract

fetched live from OpenAlex

AW Wymore, the founder of the world’s first systems engineering department at the University of Arizona, has been at the origin of the system theoretic foundations of modeling and simulation. Wymore’s intellectual family tree, which goes back to Gauss and Weierstrass, is given. How the authors met, cooperated, and advocated system theory for the advancement of modeling and simulation are explained. The concept of model-based simulation was also one of the outcomes of this cooperation. This article reviews the emergence of systems-theory-based modeling and simulation languages and environments, such as the General System Theory implementor and Discrete Event System Specification, and their relation to Wymore’s concepts. We also discuss the application of powerful software development frameworks to support user-friendly access to systems concepts and to increase the power to support systems design and engineering.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.552
Threshold uncertainty score0.261

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.098
GPT teacher head0.412
Teacher spread0.314 · 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