Linearly Separable Function

A function separable by a single linear boundary; allows independent contributions of inputs to output; computable by Perceptron

Neighborhood — ranked by edge-count

method

Perceptron
associated_with
Single-layer neural network that computes weighted sum of inputs; can only represent linearly separable functions

concept

Non Linearly Separable Functions
related_to
Mathematical property where output depends on context-dependent interaction of inputs (e.g., XOR logic); proposed as formal basis for individuality transitions.

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Non-decomposable (Non-linearly Separable) Functionsconcept0.840
Mathematical formalism from connectionism where output depends on context-dependent interaction of inputs; proposed as formal requirement for ETIs.
Representing non-linearly separable functions requires a network with multiple layers.claim0.780
Architectural requirement from machine learning.
linearityconcept0.774
The sequential, continuous order of text, often challenged by diagrammatic branching.
Linear representationconcept0.758
The idea that features are encoded as directions in activation space.
Non-decomposability (non-linearly separable function) is a refinement of non-aggregative interactions, necessary for collective to be non-redundantclaim0.741
Sharpens previous concepts of emergence in ETIs
separation from realityconcept0.729
A state caused by disorderly, dead environments where people lose connection to everyday human events and freedom.
Linear Decodingmethod0.729
Correlative technique measuring the type of information encoded in distributed representations via linear predictability.
Linear Map (a ⊸ b)framework0.725
Semantic domain for linear transformations; denotation as actual linear function; Category instance generated from homomorphism principle.