# Shepard-Luce Choice Rule

The Shepard-Luce choice rule is a choice rule for a human to identify if an object $x$ is in a category $i$.

$$ P(\text{x is i}) = \frac{\nu(x, i)}{\sum_{j\in R} \nu(x, j)} $$

- $\nu(x,i)$: strength of evidence that $x$ is $i$
- $R$ all the responses categories of categories for $x$. $j$ is one category out of $R$. $i$ has to be a category of $R$.

The Shepard-Luce choice can be used in both choice modes and race models.

Planted:
by Lei Ma;

Dynamic Backlinks:

Lei Ma (2020). 'Shepard-Luce Choice Rule', Intelligence, 05 April. Available at: https://intelligence.leima.is/bio-intelligence/cognition/shepard-luce-choice-rule/.