The generalized preprocessing perceptron, ¹ as a function from [0, 1] ⁿ to R can be written as y = Φⁿᵢ₌₁ᵩᵢ(wᵢ, gᵢ (xᵢ)) where xᵢ are the inputs, gᵢ is in the preprocessing layer, wᵢ represents the uncertainty for the conclusion from xᵢ to the output y, φᵢ (wᵢ, sᵢ) represents the semantics of implication xᵢ →_(wi) y, and Φ corresponds to a logical disjunction that calculates an incremence of evidence. Typically, Φ has a greater function, and is an assembly of co-t-norms.

New posters at border control bring a tear ta my eye. WE GOT ARE COUNTRY BACK The accompanying image is doctored to show three fake posters, each of a single word, reading SEND UM BACK.

To be applied locally

an innocent trade