MODELS.md

In JanaJarecki/cogscimodels: Cognitive Models - Estimation, Prediction, and Development of Models for Cognitive Scientists

title: "Models" date: "10/2022"

Models implemented in the package

The following models for decision making under risk, categorization, preferential choices, and learning are implemented:

Model | Usage | Reference | Function ------------ | ------------- | -------------| ------------- Generalized context | Classification learning and inferences | (Medin & Schaffer, 1976; Nosofsky, 1986) | ?ebm Memory preference | Forecasting consumer preferences | (Jarecki & Rieskamp, 2022) | ?mem Shortfall | Decision making about risks | (Andraszewicz, 2014) | ?shortfall Optimal risk-sensitive foraging | Decision making about risk with goals| (Houston & McNamara, 1988) | ?hm1988 Cumulative prospect | Decision making under risks | (Kahneman & Tversky, 1979; Tversky & Kahneman, 1992) | ?cpt Bayesian cognitive | Information learning with prior information | (Hoffart, Jarecki, Duthil, & Rieskamp, 2022) | ?bayes Power utility | Economic utility and preferences | (Tversky, 1967; Wakker, 2008)| ?utility Soft-max | Probabilistic action selection | (Sutton & Barto, 1998) | ?softmax Arg-max | Deterministic action selection | | ?argmax Epsilon-greedy | Constant-error action selection| | ?epsilon A baseline model | Random decisions | | ?baseline

JanaJarecki/cogscimodels documentation built on Nov. 4, 2022, 5:33 p.m.