Commit 945ae0f3 authored by linushof's avatar linushof
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Description of pilot study testing sampling strategies

parent 37fbe549
title: "Sampling Strategies in Decision from Experience"
title: "Sampling Strategies in DfE"
author: "Linus Hof"
date: "2021"
bibliography: sampling-strategies-in-dfe.bib
title: "Sampling Strategies in DfE - Pilot study"
author: "Linus Hof"
date: "2021"
output: html_document
# Study Description
In this pilot study, choice data will be generated by applying the *comprehensive* and *piecewise sampling strategy* and hybrids thereof to a series of two-prospect gambles.
The simulated data will be explored for characteristic patterns of (or differences between) sampling strategies under varying structures of the environment, i.e., the features of a gamble's prospects, and other aspects of the sampling and decision behavior (model parameters).
# Dataset
## Agents
Under each condition (sampling strategy x all possible parameter settings), all gambles are played by N = 150 synthetic agents.
## Gambles
Two different types of two-prospect gambles will be tested: (a) Gambles, in which one of the prospects contains a safe outcome only and the other two risky outcomes (safe/risky gambles). (b) Gambles, in which both prospects contain of two risky outcomes (risky/risky gambles).
All outcomes are in the gain range $\omega_i \geq 0$.
n_agents <- 150
# Model parameters
**Switching probability:** $s$ is the positive (negative) probability increment added to (subtracted from) the unbiased attendance probability $p = .5$ with which agents draw the succesive single sample from the prospect they did not get their most recent single sample from. We vary $s$ between 0 to .4 in increments of .1.
**Boundary type**: Can either be the minimum value *any* prospect's sum of random variable realizations must reach (absolute boundary) or the minimum value for the difference of these sums (relative boundary).
**Boundary value:**
**Noise parameter:**
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