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[104] A Derivation Graph of Computer Models for the Design Process on the Web

Seed Paper Seed Paper (General / Unclassified) 2000

Paper Description extracted from PDF · intro excerpt · 135 words

of Adelaide, Australia, e-mail: jhuang@arch.adelaide.edu.au *Assistant Professor, Department of Architecture, Ming-Chuan University, Taiwan e-mail: tengwen@mcu.edu.tw **Professor, School of Architecture, Landscape Architecture and Urban Design, The University of Adelaide, Australia e-mail: aradford@arch.adelaide.edu.au Abstract. To propose a derivation graph by utilizing Computer modeling to represent the thinking processes in the design of Akkach House that will be demonstrated on the web. 1. Introduction The thinking process for creating som ething that does not y et exist comprises a range of mental activities, from defining the purpose, creating the form and defining the meanings as well as the practicality of form , to adapting an appropriate technique for producing the objects. This m ental process is term ed Design. Design is not often a linear process; options are explored and paths of potential solutions are generated and assessed.

AuthorsJ.H.-L. Huang and Teng-Wen Chang and Antony Radford
Year2000
VenueProceedings of the 5th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA)
DOI10.52842/CONF.CAADRIA.2000.307
Source DatabaseSeed (CumInCAD)
Bridge-to-GNNCategory Seed
GNN ArchitectureNot yet extracted from PDF
Graph EncodingNot yet extracted from PDF
AEC TaskNot yet extracted from PDF
CohortEarly Infrastructure (2020–2021)

Detected Technical Stack auto-detected from PDF · regex catalogue match

GNN architectures detectedKnowledge Graph Embedding (TransE/RotatE/DistMult)
Quality (heuristic, 6-flag)0/6 · rigor: Low
Code/Data: —Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: —

Lineage Families

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Enabled By / Precursors

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Extended By

None in corpus

Infrastructure Dependencies

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Research Frontier Tags

graph-ml-aec

Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026