PP-2016-08: Memorization of sequence-segments by humans and non-human animals: the Retention-Recognition Model

PP-2016-08: Alhama, Raquel G. and Scha, Remko and Zuidema, Willem (2016) Memorization of sequence-segments by humans and non-human animals: the Retention-Recognition Model. [Report]

[img]
Preview
Text (Full Text)
PP-2016-08.text.pdf

Download (431kB) | Preview
[img] Text (Abstract)
PP-2016-08.abstract.txt

Download (1kB)

Abstract

The existence of a statistical learning mechanism underlying the cognitive capacity to learn a “language” from an auditory input stream is well established. Computational models of segmentation formalize and test the specific theoretical assumptions about the mechanistic nature of this process. We present the Retention and Recognition model (R&R), a probabilistic model based on the cognitive processes of retention and recognition. We show that R&R outperforms other models in explaining for a range of experimental results: for a 2AFC task with human adults reported in Frank, Goldwater, Griffiths, and Tenenbaum (2010), as well as with data of human adults from a variant experiment from Peña, Bonatti, Nespor, and Mehler (2002), and with the responses of a segmentation experiment with rats (Toro & Trobalón, 2005). Our model also offers a new prediction on the response distribution over test items, which we will confirm revisiting these experimental results.

Item Type: Report
Report Nr: PP-2016-08
Series Name: Prepublication (PP) Series
Year: 2016
Uncontrolled Keywords: artificial language learning, language evolution, cognitive modelling
Subjects: Language
Depositing User: Jelle Zuidema
Date Deposited: 12 Oct 2016 14:37
Last Modified: 12 Oct 2016 14:37
URI: https://eprints.illc.uva.nl/id/eprint/544

Actions (login required)

View Item View Item