An agent-based system to build project memories during engineering projects

Monticolo, D; Mihaita, S; Darwich, H; Hilaire, V

An agent-based system to build project memories during engineering projects

Monticolo, D Mihaita, S Darwich, H Hilaire, V

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Knowledge-Based Systems, 2014, 68, pp. 88-102
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Monticolo, D
dc.contributor.author	Mihaita, S
dc.contributor.author	Darwich, H
dc.contributor.author	Hilaire, V
dc.date.accessioned	2023-01-11T03:15:39Z
dc.date.available	2023-01-11T03:15:39Z
dc.date.issued	2014-01-01
dc.identifier.citation	Knowledge-Based Systems, 2014, 68, pp. 88-102
dc.identifier.issn	0950-7051
dc.identifier.issn	1872-7409
dc.identifier.uri	http://hdl.handle.net/10453/164852
dc.description.abstract	Engineering projects are organizations where several actors with different professional fields and know-how work together to carry out the same aim: to develop a new product. Inside these organizations, heterogeneous and distributed information has to be managed in order to create project memories that will be useful in future projects. In this paper we describe a Multi-Agent System (MAS), which is based on the social and cooperative approach to support the knowledge management process all along mechanical design projects. Indeed, this multi-agent system, called KATRAS, aims to capitalize and reuse knowledge according to the roles involved in the design projects. We will present in this paper how the agents capitalize six different types of knowledge (professional vocabulary, process, expertise, project evolution, and return of experience) and how they help the professional actors to reuse knowledge. © 2014 Elsevier B.V. All rights reserved.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Knowledge-Based Systems
dc.relation.isbasedon	10.1016/j.knosys.2013.12.022
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 15 Commerce, Management, Tourism and Services, 17 Psychology and Cognitive Sciences
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	An agent-based system to build project memories during engineering projects
dc.type	Journal Article
utslib.citation.volume	68
utslib.for	08 Information and Computing Sciences
utslib.for	15 Commerce, Management, Tourism and Services
utslib.for	17 Psychology and Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2023-01-11T03:15:30Z
pubs.publication-status	Published
pubs.volume	68

Abstract:

Engineering projects are organizations where several actors with different professional fields and know-how work together to carry out the same aim: to develop a new product. Inside these organizations, heterogeneous and distributed information has to be managed in order to create project memories that will be useful in future projects. In this paper we describe a Multi-Agent System (MAS), which is based on the social and cooperative approach to support the knowledge management process all along mechanical design projects. Indeed, this multi-agent system, called KATRAS, aims to capitalize and reuse knowledge according to the roles involved in the design projects. We will present in this paper how the agents capitalize six different types of knowledge (professional vocabulary, process, expertise, project evolution, and return of experience) and how they help the professional actors to reuse knowledge. © 2014 Elsevier B.V. All rights reserved.

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http://hdl.handle.net/10453/164852