multi_sampling: Multi-sampling associative model

In XSLmodels: Run and Optimize Cross-Situational Word Learning Models

Multi-sampling associative model

Description

Multi-sampling associative model

Usage

multi_sampling(C, X, B, K = 1)

Arguments

C	Decay
X	Total associative weight to distribute per trial
B	Associative weight to distribute each sample
K	Number of associations to update per word (constraint: B <= X)

Value

An object of class xslMod

Examples

mod <- multi_sampling(C = 1, X = .2, B = .3, K = 1)
xsl_run(mod, get_example_ambiguous_condition())

XSLmodels documentation built on Oct. 18, 2026, 5:08 p.m.