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Improving Proactive Collaborative Design Through the Integration of BIM and Agent-Based Simulations

2017· article· en· W2782111846 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueeCAADe proceedings · 2017
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsnot available
FundersUniversity of North Carolina at CharlottePolitechnika LódzkaZayed UniversityUniversity of MelbourneSoutheast UniversityRangsit UniversityArab Academy for Science, Technology and Maritime TransportIstanbul Teknik ÜniversitesiUniversità di PisaUniversidade Federal de Santa CatarinaAustrian Institute of TechnologyBilkent ÜniversitesiUniversity of CyprusUniverza v LjubljaniUniversità di BolognaUniversidade de LisboaHague University of Applied SciencesNational Cheng Kung UniversityUniversity of British ColumbiaKorea Advanced Institute of Science and TechnologyPolitechnika BialostockaTechnische Universiteit EindhovenUniversity of CreteSimon Fraser UniversityNational University of SingaporeOrta Doğu Teknik ÜniversitesiKU LeuvenNottingham Trent UniversityAalto-YliopistoTU Graz, Internationale Beziehungen und MobilitätsprogrammeUniversity of Southern CaliforniaYonsei UniversityAalborg UniversitetTechnische Universiteit DelftCurtin University of TechnologyTrent UniversityUniversità degli Studi di PalermoTianjin UniversityDeakin UniversityNanjing Institute of TechnologyRMIT UniversityUniversity of PatrasEidgenössische Technische Hochschule ZürichUniversity of Technology SydneyGeorge Mason UniversityTechnische Universität WienSapienza Università di RomaUniversidad de AlicanteTulane UniversityČeské Vysoké Učení Technické v Praze
KeywordsComputer scienceCollaborative designSystems engineeringProcess managementHuman–computer interactionKnowledge managementComputer architectureSoftware engineeringEngineeringSystems design

Abstract

fetched live from OpenAlex

Traditional design paradigms take into account phases as the process were subdivided rigidly in boxes to which pertain specific building entities, actors and LODs. In reality the process of design, a building f.i., it is not so much organized in series, nor designers deal with just a specific LOD. The process is intertwined and actors mix various type entities with different accuracy. To manage these problems, we need a new paradigm and new tools able to take immediately into account satisfied/unsatisfied constraints, to trig on consequences of choices made as far as it is possible and to link fluently and bidirectionally a 2nd layer of building abstraction (BIM) with a 3rd one of knowledge abstraction. An on-the-fly link has been established between BIM and a swarm of agent-based simulations.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.629
Threshold uncertainty score0.322

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 communication0.0000.001
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 head0.029
GPT teacher head0.255
Teacher spread0.226 · 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