Modelling the Dynamics of Team Sensemaking: A Constraint Satisfaction Approach
Modelling the Dynamics of Team Sensemaking: A Constraint Satisfaction Approach
An approach to the modelling of team sensemaking is presented that relies on the use of multiple agents integrated into larger communication network structures. Sensemaking is cast as a type of constraint satisfaction problem, and thus the cognitive architecture of each agent within the model is implemented as a constraint satisfaction network. The effect of manipulating a number of communication variables (the frequency of inter-agent communication, the type of information communicated and the point at which inter-agent communication takes place) are explored in three computer simulation studies. The results suggest that precipitant forms of information sharing may result in agents assigning undue significance to information that is largely consistent or compatible with pre-existing or prevailing cognitions. These results are consistent with other results reported in the distributed cognition literature, and they suggest that the future use of constraint satisfaction network models could have value in terms of improving our understanding of socially-distributed cognition in military coalition environments.
collective cognition, distributed cognition, social networks, network science, collective problem solving, shared interpretation, shared understanding, trust, social influence, communication networks, military coalitions, mobile ad hoc networks, coalition communication networks, sensemaking, team sensemaking, collective sensemaking, constraint satisfaction network, multi-agent simulation, information sharing, cognitive processing, belief propagation, agent communication, social information processing
Smart, Paul R.
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Shadbolt, Nigel R.
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15 February 2012
Smart, Paul R.
cd8a3dbf-d963-4009-80fb-76ecc93579df
Shadbolt, Nigel R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Smart, Paul R. and Shadbolt, Nigel R.
(2012)
Modelling the Dynamics of Team Sensemaking: A Constraint Satisfaction Approach.
Knowledge Systems for Coalition Operations (KSCO'12), Pensacola, Florida, United States.
15 - 17 Feb 2012.
Record type:
Conference or Workshop Item
(Paper)
Abstract
An approach to the modelling of team sensemaking is presented that relies on the use of multiple agents integrated into larger communication network structures. Sensemaking is cast as a type of constraint satisfaction problem, and thus the cognitive architecture of each agent within the model is implemented as a constraint satisfaction network. The effect of manipulating a number of communication variables (the frequency of inter-agent communication, the type of information communicated and the point at which inter-agent communication takes place) are explored in three computer simulation studies. The results suggest that precipitant forms of information sharing may result in agents assigning undue significance to information that is largely consistent or compatible with pre-existing or prevailing cognitions. These results are consistent with other results reported in the distributed cognition literature, and they suggest that the future use of constraint satisfaction network models could have value in terms of improving our understanding of socially-distributed cognition in military coalition environments.
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KSCO2012_v5.pdf
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Published date: 15 February 2012
Additional Information:
Event Dates: 15th-17th February 2012
Venue - Dates:
Knowledge Systems for Coalition Operations (KSCO'12), Pensacola, Florida, United States, 2012-02-15 - 2012-02-17
Keywords:
collective cognition, distributed cognition, social networks, network science, collective problem solving, shared interpretation, shared understanding, trust, social influence, communication networks, military coalitions, mobile ad hoc networks, coalition communication networks, sensemaking, team sensemaking, collective sensemaking, constraint satisfaction network, multi-agent simulation, information sharing, cognitive processing, belief propagation, agent communication, social information processing
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 273106
URI: http://eprints.soton.ac.uk/id/eprint/273106
PURE UUID: eed437f3-f91a-40a0-a94b-5855fad44a0e
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Date deposited: 17 Jan 2012 15:47
Last modified: 15 Mar 2024 03:15
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Contributors
Author:
Paul R. Smart
Author:
Nigel R. Shadbolt
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