Socially-distributed cognition and cognitive architectures: towards an ACT-R-based cognitive social simulation capability
Socially-distributed cognition and cognitive architectures: towards an ACT-R-based cognitive social simulation capability
ACT-R is one of the most widely used cognitive architectures, and it has been used to model hundreds of phenomena described in the cognitive psychology literature. In spite of this, there are relatively few studies that have attempted to apply ACT-R to situations involving social interaction. This is an important omission since the social aspects of cognition have been a growing area of interest in the cognitive science community, and an understanding of the dynamics of collective cognition is of particular importance in many organizational settings. In order to support the computational modeling and simulation of socially-distributed cognitive processes, a simulation capability based on the ACT-R architecture is described. This capability features a number of extensions to the core ACT-R architecture that are intended to support social interaction and collaborative problem solving. The core features of a number of supporting applications and services are also described. These applications/services support the execution, monitoring and analysis of simulation experiments. Finally, a system designed to record human behavioral data in a collective problem-solving task is described. This system is being used to undertake a range of experiments with teams of human subjects, and it will ultimately support the development of high fidelity ACT-R cognitive models. Such models can be used in conjunction with the ACT-R simulation capability to test hypotheses concerning the interaction between cognitive, social and technological factors in tasks involving socially-distributed information processing.
distributed cognition, social information processing, cognitive architectures, ACT-R, collective cognition, team cognition, multi-agent simulation, social simulation, cognitive modelling, cognitive engineering
Smart, Paul R.
cd8a3dbf-d963-4009-80fb-76ecc93579df
Tang, Yuqing
0b26bd4d-f1ab-40ab-8517-3dfc10767fa9
Stone, Paul
24354822-ffa9-4843-9c8c-9b4a1ea7e571
Sycara, Katia
df200c43-d34d-4093-bb4e-493fea2d0732
Bennati, Stefano
21cdb564-f400-4613-bec8-f1449115935b
Lebiere, Christian
2d376f4e-98ba-45dc-819d-aec8c5f69ca5
Mott, David
bf0779fe-ac61-4fac-965e-a774d0d3437d
Braines, Dave
09e96745-c478-4a3d-9a3b-46e0f0e3ac18
Powell, Gavin
d5ac622b-446b-474e-a968-98eb1b4d30ab
15 September 2014
Smart, Paul R.
cd8a3dbf-d963-4009-80fb-76ecc93579df
Tang, Yuqing
0b26bd4d-f1ab-40ab-8517-3dfc10767fa9
Stone, Paul
24354822-ffa9-4843-9c8c-9b4a1ea7e571
Sycara, Katia
df200c43-d34d-4093-bb4e-493fea2d0732
Bennati, Stefano
21cdb564-f400-4613-bec8-f1449115935b
Lebiere, Christian
2d376f4e-98ba-45dc-819d-aec8c5f69ca5
Mott, David
bf0779fe-ac61-4fac-965e-a774d0d3437d
Braines, Dave
09e96745-c478-4a3d-9a3b-46e0f0e3ac18
Powell, Gavin
d5ac622b-446b-474e-a968-98eb1b4d30ab
Smart, Paul R., Tang, Yuqing, Stone, Paul, Sycara, Katia, Bennati, Stefano, Lebiere, Christian, Mott, David, Braines, Dave and Powell, Gavin
(2014)
Socially-distributed cognition and cognitive architectures: towards an ACT-R-based cognitive social simulation capability.
Annual Fall Meeting of the International Technology Alliance, Cardiff, United Kingdom.
15 Sep 2014.
8 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
ACT-R is one of the most widely used cognitive architectures, and it has been used to model hundreds of phenomena described in the cognitive psychology literature. In spite of this, there are relatively few studies that have attempted to apply ACT-R to situations involving social interaction. This is an important omission since the social aspects of cognition have been a growing area of interest in the cognitive science community, and an understanding of the dynamics of collective cognition is of particular importance in many organizational settings. In order to support the computational modeling and simulation of socially-distributed cognitive processes, a simulation capability based on the ACT-R architecture is described. This capability features a number of extensions to the core ACT-R architecture that are intended to support social interaction and collaborative problem solving. The core features of a number of supporting applications and services are also described. These applications/services support the execution, monitoring and analysis of simulation experiments. Finally, a system designed to record human behavioral data in a collective problem-solving task is described. This system is being used to undertake a range of experiments with teams of human subjects, and it will ultimately support the development of high fidelity ACT-R cognitive models. Such models can be used in conjunction with the ACT-R simulation capability to test hypotheses concerning the interaction between cognitive, social and technological factors in tasks involving socially-distributed information processing.
Text
ITAAFM Team Cognitionv8.pdf
- Other
More information
Published date: 15 September 2014
Venue - Dates:
Annual Fall Meeting of the International Technology Alliance, Cardiff, United Kingdom, 2014-09-15 - 2014-09-15
Keywords:
distributed cognition, social information processing, cognitive architectures, ACT-R, collective cognition, team cognition, multi-agent simulation, social simulation, cognitive modelling, cognitive engineering
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 367239
URI: http://eprints.soton.ac.uk/id/eprint/367239
PURE UUID: 457c9c7f-b6a1-4eeb-801f-bad58779063f
Catalogue record
Date deposited: 24 Jul 2014 14:22
Last modified: 15 Mar 2024 03:15
Export record
Contributors
Author:
Paul R. Smart
Author:
Yuqing Tang
Author:
Paul Stone
Author:
Katia Sycara
Author:
Stefano Bennati
Author:
Christian Lebiere
Author:
David Mott
Author:
Dave Braines
Author:
Gavin Powell
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics