Modelling the Dynamics of Team Sensemaking: A Constraint Satisfaction Approach


Smart, Paul R. and Shadbolt, Nigel R. (2012) Modelling the Dynamics of Team Sensemaking: A Constraint Satisfaction Approach. In, Knowledge Systems for Coalition Operations (KSCO'12), Pensacola, Florida, USA, 15 - 17 Feb 2012.

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Description/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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 15th-17th February 2012
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
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 273106
Date Deposited: 17 Jan 2012 15:47
Last Modified: 27 Mar 2014 20:18
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/273106

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