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More exactly, we are concentrating on the knowledge reuse process.
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The study illustrates the utility of deploying agent-based workflow technologies to: (a) enable incremental and large-scale process and product knowledge acquisition and management, (b) facilitate design process knowledge reuse in different contexts, and (c) support distributed dynamic process management.
An extension of the modelling theme, generic task models, is proposed to augment the contribution of knowledge reuse to the design process.
In this study, we analyze the reasons for and feasibility of commonsense knowledge reuse in MAS during the knowledge management process, and investigate the commonsense knowledge base-supported MAS architecture design.
Personalized recommendation for knowledge reuse provides a framework to share product knowledge such as assembly process, environmental impact and energy efficiency in manufacturing, in order to help engineers make their best decisions.
Knowledge collaboration is a method for organization to create value in the institutionalized process of knowledge creation, knowledge acquisition, knowledge sharing and knowledge reuse, i.e., team members gathering distributed knowledge resources and supplementing and sharing their knowledge, is an important activity in R&D projects.
The provision of information and knowledge for reuse relies on defined information structures and requires computational techniques that enable the reuse process within an integrated environment.
Knowledge reuse is recognised as a key element to support agile and effective decision-making processes during product development.
The knowledge reuse and fusion/transformation (KRAFT) project has defined a generic agent-based architecture to support knowledge fusion — the process of locating and extracting knowledge from multiple, heterogeneous on-line sources, and transforming it so that the union of the knowledge can be applied in problem-solving.
Figure 12 Reuse process timings line graph.
Figure 4 Reuse process activity diagram.
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