Cuestionario vinculado a una guía · Medio Nivel
Prueba de IA en arquitectura y diseño
Revise las restricciones del diseño generativo, las representaciones de difusión, los datos BIM, la optimización basada en simulación y los límites de las imágenes conceptuales.
Pregunta 1 de 8
¿Cuál es la idea central detrás del diseño generativo en arquitectura?
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- ¿Cuál es la idea central detrás del diseño generativo en arquitectura?
- Define goals and constraints, then generate and evaluate design alternatives
- Copy an existing landmark exactly
- Let AI approve building permits
- Replace all architectural judgment
- Which model family does the cited latent-diffusion paper describe for image synthesis?
- A spreadsheet optimizer
- Diffusion models that iteratively denoise a latent representation
- A hard-hat detector
- A pronunciation aligner
- Why can a photorealistic AI rendering still be unsuitable as a construction plan?
- It is always black and white
- It cannot contain pixels
- It may show appearance without validated geometry or engineering constraints
- It automatically includes verified permits
- What does BIM stand for in this context?
- Building Image Matching
- Basic Interior Measurement
- Building Inspection Manual
- Building Information Modeling
- Which optimization approach did the cited benchmark say was popular in architectural design optimization?
- Algoritmos genéticos
- reconocimiento de voz
- Image-caption generation
- Word alignment
- Which types of information can an IFC building model represent beyond geometry?
- Only a photorealistic image of the finished building
- Attributes and relationships such as materials, locations, connections, ownership, and work schedules
- A guarantee that the design meets every local building code
- A rendered view with no object or process data
- What information does IFC provide in a BIM workflow?
- A guarantee that every model is accurate
- A permit approval from a regulator
- A schema and exchange format for building-model data
- An image model’s prompt history
- What result did the cited architectural benchmark report for its tested evaluation budget and problems?
- Every genetic algorithm found the global optimum
- Diffusion models outperformed all simulations
- The results proved one method best for every building project
- The model-based RBFOpt method was the most efficient and robust of the tested methods