concept
active
concept:mutual-embeddingMutual Embedding
A reinforcing interlock between different materials, mentioned alongside Deep Interlock in West Dean construction.
Neighborhood — ranked by edge-count
Frameworks (2)
framework
- Eleven Color Propertiesassociated_withThe set of eleven empirical properties that cause inner light in color, analogous to the fifteen geometric properties. They include: Hierarchy of Colors, Colors Create Light Together, Contrast of Dark and Light, Mutual Embedding, Boundaries and Hairlines, Sequence of Linked Color Pairs, Families of Color, Color Variation, Intensity and Clarity of Individual Color, Subdued Brilliance, Color Depends on Geometry.
- A set of color qualities that emerge from the fundamental process, analogous to the fifteen properties; introduced in this chapter and elaborated in Book 4, chapter 7.
Chapters (2)
chapter
- The working unit chapter that presents Alexander's method for generating large public buildings through living process, illustrated by six major projects.
- Chapter 7: Color And Inner LightintroducesThe chapter from The Nature of Order, Vol. 4, exploring how color, through the phenomenon of inner light, provides a direct glimpse of the I (ground), and presenting the eleven color properties that structure that unity.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Technique where text is nested hierarchically within another, using indentation and margins to create subordinate orders of detail within an overarching embrace.
- The specific type of representation studied in the paper: function f: X→R^n assigning feature vectors to inputs
- The component used in latent reasoning to perform internal computation.
- Lagged time series used to capture dynamical dependencies.
- Expected mutual information between future states and outcomes; equivalent to intrinsic value.
- Baseline method for instruction discovery using surface-level input embedding similarity instead of steering vectors.