Cooperative team formation using distributed decomposition knowledge

In recent years, the problem of automating the formation of Virtual Organisations (VO) has risen to prominence. Work in this area has typically considered the process of VO formation to be a centralised process driven by a company with responsibility for the business opportunity.Such systems use two...

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Main Author: Carpenter, Martin Richard John
Other Authors: Mehandjiev, Nikolay
Published: University of Manchester 2010
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Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526588
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spelling ndltd-bl.uk-oai-ethos.bl.uk-5265882017-07-25T03:24:58ZCooperative team formation using distributed decomposition knowledgeCarpenter, Martin Richard JohnMehandjiev, Nikolay2010In recent years, the problem of automating the formation of Virtual Organisations (VO) has risen to prominence. Work in this area has typically considered the process of VO formation to be a centralised process driven by a company with responsibility for the business opportunity.Such systems use two main stages: first they decompose the business opportunity into a set of roles and then select suppliers for each role by matching their advertised capability against criteria supplied by the user. Both stages require that the company driving the VO formation process has access to considerable amounts of centralised knowledge.In contrast, this thesis considers virtual organisations as forming by combining the cooperative contributions within a group of organisations. It is shown that, within this context, both the knowledge required to facilitate and the control within the virtual organisation formation process are naturally distributed. In particular companies are free to vary their level of commitment to given projects and so only they have detailed knowledge of their capabilities. Supporting VO formation within this context requires a novel approach capable of utilising this distributed information. The primary contribution of this thesis is to provide such a novel approach to supporting virtual organisation formation. This approach builds on the traditions of blackboard and multi-agent systems. It allows virtual organisation formation to be driven by the accumulation of voluntary contributions from the prospective members of the virtual organisation. The principle focus of the system is on identifying candidate virtual organisations, and it does not offer automated support for such aspects as the creation of contracts. Crucially this system works with the distributed knowledge encountered in the chosen problem domain. The following technical contributions shape the general approach into a detailed system: (a) the representation of company's capabilities, (b) an algorithm for combining those capabilities and (c) mechanisms enabling intelligent agents representing the companies to produce candidate virtual organisations. The proposed system is evaluated in three ways - its technical feasibility is demonstrated through the implementation of a testbed prototype, a theoretical discussion of the systems performance is given and finally its potential benefits are shown in a reasoned case study.338.0068Virtual OrganisationUniversity of Manchesterhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526588https://www.research.manchester.ac.uk/portal/en/theses/cooperative-team-formation-using-distributed-decomposition-knowledge(b54c0ec5-04ea-4eab-89fa-b38611ca5275).htmlElectronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 338.0068
Virtual Organisation
spellingShingle 338.0068
Virtual Organisation
Carpenter, Martin Richard John
Cooperative team formation using distributed decomposition knowledge
description In recent years, the problem of automating the formation of Virtual Organisations (VO) has risen to prominence. Work in this area has typically considered the process of VO formation to be a centralised process driven by a company with responsibility for the business opportunity.Such systems use two main stages: first they decompose the business opportunity into a set of roles and then select suppliers for each role by matching their advertised capability against criteria supplied by the user. Both stages require that the company driving the VO formation process has access to considerable amounts of centralised knowledge.In contrast, this thesis considers virtual organisations as forming by combining the cooperative contributions within a group of organisations. It is shown that, within this context, both the knowledge required to facilitate and the control within the virtual organisation formation process are naturally distributed. In particular companies are free to vary their level of commitment to given projects and so only they have detailed knowledge of their capabilities. Supporting VO formation within this context requires a novel approach capable of utilising this distributed information. The primary contribution of this thesis is to provide such a novel approach to supporting virtual organisation formation. This approach builds on the traditions of blackboard and multi-agent systems. It allows virtual organisation formation to be driven by the accumulation of voluntary contributions from the prospective members of the virtual organisation. The principle focus of the system is on identifying candidate virtual organisations, and it does not offer automated support for such aspects as the creation of contracts. Crucially this system works with the distributed knowledge encountered in the chosen problem domain. The following technical contributions shape the general approach into a detailed system: (a) the representation of company's capabilities, (b) an algorithm for combining those capabilities and (c) mechanisms enabling intelligent agents representing the companies to produce candidate virtual organisations. The proposed system is evaluated in three ways - its technical feasibility is demonstrated through the implementation of a testbed prototype, a theoretical discussion of the systems performance is given and finally its potential benefits are shown in a reasoned case study.
author2 Mehandjiev, Nikolay
author_facet Mehandjiev, Nikolay
Carpenter, Martin Richard John
author Carpenter, Martin Richard John
author_sort Carpenter, Martin Richard John
title Cooperative team formation using distributed decomposition knowledge
title_short Cooperative team formation using distributed decomposition knowledge
title_full Cooperative team formation using distributed decomposition knowledge
title_fullStr Cooperative team formation using distributed decomposition knowledge
title_full_unstemmed Cooperative team formation using distributed decomposition knowledge
title_sort cooperative team formation using distributed decomposition knowledge
publisher University of Manchester
publishDate 2010
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526588
work_keys_str_mv AT carpentermartinrichardjohn cooperativeteamformationusingdistributeddecompositionknowledge
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