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Record W2171373484 · doi:10.5555/2675983.2676371

Development of a distributed construction project management game with COTS in the loop

2013· article· en· W2171373484 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

VenueWinter Simulation Conference · 2013
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComputer scienceGame programmingGame development toolInterface (matter)User interfaceGraphical user interfaceGame DeveloperHuman–computer interactionGame designGame design documentSoftware engineeringOperating system

Abstract

fetched live from OpenAlex

Simulation games are effective tools for training and interactive learning but require significant development effort. A Construction project management game has been developed to provide an interactive simulation environment to assist in construction project management learning. The objective of this game is to help users understand the effects of their resource allocation decisions on project time and cost performance. A distributed approach using High Level Architecture (HLA) has been used in developing this game. The game federation consists of four federates (Progress simulator, Resources simulator, Controller, and User Interface). A Commercial-Of-The-Shelf (COTS) application Microsoft project 2007® is used as the main user interface for this game. The use of a common COTS reduces the effort needed for building a dedicated graphical interface from scratch and provide a familiar interface for users. This paper describes the development process of this game, potential use, and future extensions.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score0.249

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 head0.020
GPT teacher head0.231
Teacher spread0.211 · 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