Modelling mental imagery in the ACT-R cognitive architecture

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

I present a novel approach to modelling spatial mental imagery within the ACT-R cognitive architecture. The proposed method augments ACT-R’s representation of visual objects to enable the processing of spatial extent and incorporates a set of linear and affine transformation functions to allow the manipulation of internal spatial representations. The assumptions of the modified architecture are then tested by using it to develop models of two classic mental imagery phenomena: the mental scanning study of Kosslyn, Ball, and Reiser (1978) and mental rotation (Shepard & Metzler, 1971). Both models provide very close fits to human response time data.
Original languageEnglish
Title of host publicationProceedings of the 41st Annual Conference of the Cognitive Science Society
EditorsAshok Goel, Colleen Seifert, Christian Freksa
PublisherCognitive Science Society
Pages2550-2556
Number of pages7
Publication statusAccepted/In press - 12 Apr 2019
Event41st Annual Conference of the Cognitive Science Society - Montreal, Canada
Duration: 24 Jul 201927 Jul 2019
https://cognitivesciencesociety.org/cogsci-2019/

Conference

Conference41st Annual Conference of the Cognitive Science Society
Abbreviated titleCogSci
CountryCanada
CityMontreal
Period24/07/1927/07/19
Internet address

Fingerprint

imagery
modeling
method

Cite this

Peebles, D. (Accepted/In press). Modelling mental imagery in the ACT-R cognitive architecture. In A. Goel, C. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 2550-2556). Cognitive Science Society.
Peebles, David. / Modelling mental imagery in the ACT-R cognitive architecture. Proceedings of the 41st Annual Conference of the Cognitive Science Society. editor / Ashok Goel ; Colleen Seifert ; Christian Freksa. Cognitive Science Society, 2019. pp. 2550-2556
@inproceedings{8ad6475d6f964bf197144c4726ae203a,
title = "Modelling mental imagery in the ACT-R cognitive architecture",
abstract = "I present a novel approach to modelling spatial mental imagery within the ACT-R cognitive architecture. The proposed method augments ACT-R’s representation of visual objects to enable the processing of spatial extent and incorporates a set of linear and affine transformation functions to allow the manipulation of internal spatial representations. The assumptions of the modified architecture are then tested by using it to develop models of two classic mental imagery phenomena: the mental scanning study of Kosslyn, Ball, and Reiser (1978) and mental rotation (Shepard & Metzler, 1971). Both models provide very close fits to human response time data.",
keywords = "Mental imagery, Cognitive architectures, ACT-R",
author = "David Peebles",
year = "2019",
month = "4",
day = "12",
language = "English",
pages = "2550--2556",
editor = "Ashok Goel and Colleen Seifert and Christian Freksa",
booktitle = "Proceedings of the 41st Annual Conference of the Cognitive Science Society",
publisher = "Cognitive Science Society",

}

Peebles, D 2019, Modelling mental imagery in the ACT-R cognitive architecture. in A Goel, C Seifert & C Freksa (eds), Proceedings of the 41st Annual Conference of the Cognitive Science Society. Cognitive Science Society, pp. 2550-2556, 41st Annual Conference of the Cognitive Science Society, Montreal, Canada, 24/07/19.

Modelling mental imagery in the ACT-R cognitive architecture. / Peebles, David.

Proceedings of the 41st Annual Conference of the Cognitive Science Society. ed. / Ashok Goel; Colleen Seifert; Christian Freksa. Cognitive Science Society, 2019. p. 2550-2556.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Modelling mental imagery in the ACT-R cognitive architecture

AU - Peebles, David

PY - 2019/4/12

Y1 - 2019/4/12

N2 - I present a novel approach to modelling spatial mental imagery within the ACT-R cognitive architecture. The proposed method augments ACT-R’s representation of visual objects to enable the processing of spatial extent and incorporates a set of linear and affine transformation functions to allow the manipulation of internal spatial representations. The assumptions of the modified architecture are then tested by using it to develop models of two classic mental imagery phenomena: the mental scanning study of Kosslyn, Ball, and Reiser (1978) and mental rotation (Shepard & Metzler, 1971). Both models provide very close fits to human response time data.

AB - I present a novel approach to modelling spatial mental imagery within the ACT-R cognitive architecture. The proposed method augments ACT-R’s representation of visual objects to enable the processing of spatial extent and incorporates a set of linear and affine transformation functions to allow the manipulation of internal spatial representations. The assumptions of the modified architecture are then tested by using it to develop models of two classic mental imagery phenomena: the mental scanning study of Kosslyn, Ball, and Reiser (1978) and mental rotation (Shepard & Metzler, 1971). Both models provide very close fits to human response time data.

KW - Mental imagery

KW - Cognitive architectures

KW - ACT-R

UR - https://cognitivesciencesociety.org/cogsci-2019/

M3 - Conference contribution

SP - 2550

EP - 2556

BT - Proceedings of the 41st Annual Conference of the Cognitive Science Society

A2 - Goel, Ashok

A2 - Seifert, Colleen

A2 - Freksa, Christian

PB - Cognitive Science Society

ER -

Peebles D. Modelling mental imagery in the ACT-R cognitive architecture. In Goel A, Seifert C, Freksa C, editors, Proceedings of the 41st Annual Conference of the Cognitive Science Society. Cognitive Science Society. 2019. p. 2550-2556