Some tasks aren't well-suited to content-based addressing.In some cases, even though content of variable is arbitrary, variables need recognizable name, addressing. Arithmetic problems could be a good example for that as x, y can take any values but we still need to define the function like $f(x,y ) = x * y$.

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Here we focus on location based on the similarity between the values that were emitted by the controller.
Here both read/write firstly focuses on a length M key vector $K_t$ and we compare them to $M_t(i)$ vectors. This method produces normalized weights:
$$w_t^c(i) = \frac {exp(\beta_t K[k_t, M_t(i)])} {\sum_j \beta_t K[k_t, M_t(j)]}$$
The similarity is measured using cosine similarity:
$$k[u, v] = \frac {u v} {||u||  ||v||} $$


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