@inproceedings{c854b2588b90408aaad379243c708746,
title = "An Ecological Model of Memory and Inferences",
abstract = "In this paper, we develop a memory model that predicts retrieval characteristics of real-world facts. First, we show how ACT-R's memory model can be used to predict people's knowledge about real-world objects. The model assumes the probability of retrieving a chunk of information about an object and the time to retrieve this information depend on the pattern of prior environmental exposure to the object. Second, we use frequencies of information appearing on the Internet as a proxy for what information people would encounter in their natural environment, outside the laboratory. In two Experiments, we use this model to account for subjects' associative knowledge about real-world objects as well as the associated retrieval latencies. Third, in a computer simulation, we explore how such model predictions can be used to understand the workings and performance of decision strategies that operate on the contents of declarative memory.",
keywords = "ACT-R, Internet, decision making, declarative memory, fast-and-frugal heuristics, strategy selection",
author = "Daniela Link and Marewski, {Julian N.} and Schooler, {Lael J.}",
note = "Publisher Copyright: {\textcopyright} 2016 Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016. All rights reserved.; 38th Annual Meeting of the Cognitive Science Society: Recognizing and Representing Events, CogSci 2016 ; Conference date: 10-08-2016 Through 13-08-2016",
year = "2016",
language = "English (US)",
series = "Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016",
publisher = "The Cognitive Science Society",
pages = "1883--1888",
editor = "Anna Papafragou and Daniel Grodner and Daniel Mirman and Trueswell, {John C.}",
booktitle = "Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016",
}