Validating a high level behavioral representation language (HERBAL): A docking study for ACT-R

Changkun Zhao, Jaehyon Paik, Jonathan H. Morgan, Frank E. Ritter

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

1 Citation (Scopus)

Abstract

We present a docking study for Herbal, a high-level behavioral representation language based on the problem space computational model. This study docks an ACT-R model created with Herbal to one created by hand. This comparison accomplishes several things. First, we believe such studies are necessary for achieving and demonstrating the theoretical rigor and repeatability promised by high-level representation languages. Second, it is necessary to evaluate the effectiveness and efficiency of high-level cognitive modeling languages if they are to make a significant impact in either the cognitive or social sciences. Third, this kind of study provides an opportunity to test Herbal's ability to produce ACT-R models from a GOMS-like representation that contains hierarchical methods, memory capacity, and control constructs. Finally, this study provides an example model for future validation work in this area. Our study addresses each of these points by docking Pirolli's [1] price finding model in ACT-R with the same model written in Herbal. We extended Herbal to support more memory types, and in the process may have extended the PSCM.

Original languageEnglish (US)
Title of host publicationBiologically Inspired Cognitive Architectures 2010
PublisherIOS Press
Pages181-188
Number of pages8
ISBN (Print)9781607506607
DOIs
StatePublished - Jan 1 2010

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume221
ISSN (Print)0922-6389

Fingerprint

Data storage equipment
Docks
Social sciences
Modeling languages

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Zhao, C., Paik, J., Morgan, J. H., & Ritter, F. E. (2010). Validating a high level behavioral representation language (HERBAL): A docking study for ACT-R. In Biologically Inspired Cognitive Architectures 2010 (pp. 181-188). (Frontiers in Artificial Intelligence and Applications; Vol. 221). IOS Press. https://doi.org/10.3233/978-1-60750-661-4-181
Zhao, Changkun ; Paik, Jaehyon ; Morgan, Jonathan H. ; Ritter, Frank E. / Validating a high level behavioral representation language (HERBAL) : A docking study for ACT-R. Biologically Inspired Cognitive Architectures 2010. IOS Press, 2010. pp. 181-188 (Frontiers in Artificial Intelligence and Applications).
@inproceedings{62ec98418a0c407aa838920a536c19a9,
title = "Validating a high level behavioral representation language (HERBAL): A docking study for ACT-R",
abstract = "We present a docking study for Herbal, a high-level behavioral representation language based on the problem space computational model. This study docks an ACT-R model created with Herbal to one created by hand. This comparison accomplishes several things. First, we believe such studies are necessary for achieving and demonstrating the theoretical rigor and repeatability promised by high-level representation languages. Second, it is necessary to evaluate the effectiveness and efficiency of high-level cognitive modeling languages if they are to make a significant impact in either the cognitive or social sciences. Third, this kind of study provides an opportunity to test Herbal's ability to produce ACT-R models from a GOMS-like representation that contains hierarchical methods, memory capacity, and control constructs. Finally, this study provides an example model for future validation work in this area. Our study addresses each of these points by docking Pirolli's [1] price finding model in ACT-R with the same model written in Herbal. We extended Herbal to support more memory types, and in the process may have extended the PSCM.",
author = "Changkun Zhao and Jaehyon Paik and Morgan, {Jonathan H.} and Ritter, {Frank E.}",
year = "2010",
month = "1",
day = "1",
doi = "10.3233/978-1-60750-661-4-181",
language = "English (US)",
isbn = "9781607506607",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "181--188",
booktitle = "Biologically Inspired Cognitive Architectures 2010",
address = "Netherlands",

}

Zhao, C, Paik, J, Morgan, JH & Ritter, FE 2010, Validating a high level behavioral representation language (HERBAL): A docking study for ACT-R. in Biologically Inspired Cognitive Architectures 2010. Frontiers in Artificial Intelligence and Applications, vol. 221, IOS Press, pp. 181-188. https://doi.org/10.3233/978-1-60750-661-4-181

Validating a high level behavioral representation language (HERBAL) : A docking study for ACT-R. / Zhao, Changkun; Paik, Jaehyon; Morgan, Jonathan H.; Ritter, Frank E.

Biologically Inspired Cognitive Architectures 2010. IOS Press, 2010. p. 181-188 (Frontiers in Artificial Intelligence and Applications; Vol. 221).

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

TY - GEN

T1 - Validating a high level behavioral representation language (HERBAL)

T2 - A docking study for ACT-R

AU - Zhao, Changkun

AU - Paik, Jaehyon

AU - Morgan, Jonathan H.

AU - Ritter, Frank E.

PY - 2010/1/1

Y1 - 2010/1/1

N2 - We present a docking study for Herbal, a high-level behavioral representation language based on the problem space computational model. This study docks an ACT-R model created with Herbal to one created by hand. This comparison accomplishes several things. First, we believe such studies are necessary for achieving and demonstrating the theoretical rigor and repeatability promised by high-level representation languages. Second, it is necessary to evaluate the effectiveness and efficiency of high-level cognitive modeling languages if they are to make a significant impact in either the cognitive or social sciences. Third, this kind of study provides an opportunity to test Herbal's ability to produce ACT-R models from a GOMS-like representation that contains hierarchical methods, memory capacity, and control constructs. Finally, this study provides an example model for future validation work in this area. Our study addresses each of these points by docking Pirolli's [1] price finding model in ACT-R with the same model written in Herbal. We extended Herbal to support more memory types, and in the process may have extended the PSCM.

AB - We present a docking study for Herbal, a high-level behavioral representation language based on the problem space computational model. This study docks an ACT-R model created with Herbal to one created by hand. This comparison accomplishes several things. First, we believe such studies are necessary for achieving and demonstrating the theoretical rigor and repeatability promised by high-level representation languages. Second, it is necessary to evaluate the effectiveness and efficiency of high-level cognitive modeling languages if they are to make a significant impact in either the cognitive or social sciences. Third, this kind of study provides an opportunity to test Herbal's ability to produce ACT-R models from a GOMS-like representation that contains hierarchical methods, memory capacity, and control constructs. Finally, this study provides an example model for future validation work in this area. Our study addresses each of these points by docking Pirolli's [1] price finding model in ACT-R with the same model written in Herbal. We extended Herbal to support more memory types, and in the process may have extended the PSCM.

UR - http://www.scopus.com/inward/record.url?scp=78149374559&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78149374559&partnerID=8YFLogxK

U2 - 10.3233/978-1-60750-661-4-181

DO - 10.3233/978-1-60750-661-4-181

M3 - Conference contribution

AN - SCOPUS:78149374559

SN - 9781607506607

T3 - Frontiers in Artificial Intelligence and Applications

SP - 181

EP - 188

BT - Biologically Inspired Cognitive Architectures 2010

PB - IOS Press

ER -

Zhao C, Paik J, Morgan JH, Ritter FE. Validating a high level behavioral representation language (HERBAL): A docking study for ACT-R. In Biologically Inspired Cognitive Architectures 2010. IOS Press. 2010. p. 181-188. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-60750-661-4-181