Can multi-agent systems help us to understand team-working?
Can multi-agent systems help us to understand team-working?
This project aims to use multi-agent systems (MAS) to model and simulate engineering teams operating within two large, UK-based manufacturing organisations. In so doing, it seeks to: 1) Integrate expertise in occupational psychology, engineering and computer science. 2) Enhance links between theory and practice in occupational psychology. 3) Develop long-term capability to understand and explain organisational issues. 4) Produce a model to help organisations make better informed decisions, and reduce the risks associated with organisational change.
Hughes, Helen
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Robinson, Mark
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Crowder, Richard
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Sim, Yee Wai
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January 2009
Hughes, Helen
7cbaf067-4403-4070-9cf0-12a8f65201aa
Robinson, Mark
0191ef40-12cc-4b4d-9bcd-5547087add95
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Sim, Yee Wai
9a3ed293-5ad7-405d-b553-b7aa8c3fb5cc
Hughes, Helen, Robinson, Mark, Crowder, Richard and Sim, Yee Wai
(2009)
Can multi-agent systems help us to understand team-working?
British Psychological Society (BPS) Division of Occupational Psychology Annual Conference, Blackpool.
14 - 16 Jan 2009.
Record type:
Conference or Workshop Item
(Other)
Abstract
This project aims to use multi-agent systems (MAS) to model and simulate engineering teams operating within two large, UK-based manufacturing organisations. In so doing, it seeks to: 1) Integrate expertise in occupational psychology, engineering and computer science. 2) Enhance links between theory and practice in occupational psychology. 3) Develop long-term capability to understand and explain organisational issues. 4) Produce a model to help organisations make better informed decisions, and reduce the risks associated with organisational change.
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Published date: January 2009
Additional Information:
Event Dates: 14--16 January 2009
Venue - Dates:
British Psychological Society (BPS) Division of Occupational Psychology Annual Conference, Blackpool, 2009-01-14 - 2009-01-16
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 267048
URI: http://eprints.soton.ac.uk/id/eprint/267048
PURE UUID: 1c0fda44-8a68-4585-85d4-5c60587f2404
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Date deposited: 21 Jan 2009 11:20
Last modified: 14 Mar 2024 08:41
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Contributors
Author:
Helen Hughes
Author:
Mark Robinson
Author:
Richard Crowder
Author:
Yee Wai Sim
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