Exploring the Dynamics of Collective Cognition Using a Computational Model of Cognitive Dissonance
Exploring the Dynamics of Collective Cognition Using a Computational Model of Cognitive Dissonance
The socially-distributed nature of cognitive processing in a variety of organizational settings means that there is increasing scientific interest in the factors that affect collective cognition. In military coalitions, for example, there is a need to understand how factors such as communication network topology, trust, cultural differences and the potential for miscommunication affects the ability of distributed teams to generate high quality plans, to formulate effective decisions and to develop shared situation awareness. The current paper presents a computational model and associated simulation capability for performing in silico experimental analyses of collective sensemaking. This model can be used in combination with the results of human experimental studies in order to improve our understanding of the factors that influence collective sensemaking processes.
collective cognition, social information processing, distributed cognition, cognitive dissonance, social influence, constraint satisfaction network, collective sensemaking, sensemaking, team sensemaking
Smart, Paul
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Sycara, Katia
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Richardson, Darren P.
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1 May 2013
Smart, Paul
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Sycara, Katia
df200c43-d34d-4093-bb4e-493fea2d0732
Richardson, Darren P.
f55f06e8-4f92-4399-b365-558b4e64d65d
Smart, Paul, Sycara, Katia and Richardson, Darren P.
(2013)
Exploring the Dynamics of Collective Cognition Using a Computational Model of Cognitive Dissonance.
SPIE Defense, Security, and Sensing: Next Generation Analyst I.
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Conference or Workshop Item
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Abstract
The socially-distributed nature of cognitive processing in a variety of organizational settings means that there is increasing scientific interest in the factors that affect collective cognition. In military coalitions, for example, there is a need to understand how factors such as communication network topology, trust, cultural differences and the potential for miscommunication affects the ability of distributed teams to generate high quality plans, to formulate effective decisions and to develop shared situation awareness. The current paper presents a computational model and associated simulation capability for performing in silico experimental analyses of collective sensemaking. This model can be used in combination with the results of human experimental studies in order to improve our understanding of the factors that influence collective sensemaking processes.
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SPIE213_CSSEv3.pdf
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Published date: 1 May 2013
Venue - Dates:
SPIE Defense, Security, and Sensing: Next Generation Analyst I, 2013-05-01
Keywords:
collective cognition, social information processing, distributed cognition, cognitive dissonance, social influence, constraint satisfaction network, collective sensemaking, sensemaking, team sensemaking
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 348282
URI: http://eprints.soton.ac.uk/id/eprint/348282
PURE UUID: 8af02306-a8ff-4f9a-b853-947fe5b1dcd8
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Date deposited: 11 Feb 2013 12:03
Last modified: 15 Mar 2024 03:15
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Contributors
Author:
Paul Smart
Author:
Katia Sycara
Author:
Darren P. Richardson
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