Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In CREEK, there is a very strong coupling between cases and general domain knowledge, in that cases are embedded within a general domain model. This increases the knowledge-intensiveness of the cases themselves. A knowledge-intensive CBR method calls for powerful knowledge acquisition and modeling techniques,...

The domain of Knowledge Intensive Process Improvement (Knowiπ) will be considered in this paper. For the improvement of knowledge intensive processes (KnowiP) we suggest Genetic Algorithms (GAs). The representation needed by the GA depends on the modelling language of KnowiPs. We will use Petrinets for the process modelling and then use the incidence matrix of the corresponding Petrinet as prob...

Public organisations often face knowledge problems due to the continual and pervasive movement of staff between units and department. The Pellucid project is developing a knowledge management system to assist in such situations. This paper describes the knowledge engineering and the knowledge level modelling undertaken in Pellucid. We use CommonKADS task templates as a mechanism to identify and...

In this paper we consider the problem of coordinating activity in knowledge-intensive dynamic systems (HDS) -large-scale, multi-agent systems in which agents with significant individual capabilities work together 10 accomplish complex, knowledge-intensive tasks. Given the time pressure and resource limitations under which a KIDS typically operates, the establishment of plans and schedules can s...

In many organizations knowledge becomes increasingly important for sustaining competitive advantage. Knowledge-intensive firms (KIFs; Alvesson, 2004) gain competitive advantage by continuous adaptation to their environment. This constant adaptation to the competitive environment is realized by the unremitting generation and use of new knowledge (Harrison & Kessels, 2004, p. 3). Thus, for KIFs t...

Novel search space splitting techniques have recently been successfully exploited to paralleliz Constraint Programming and Mixed Integer Programming solvers. We first show how universal hashing can be used to extend one such interesting approach to a generalized setting that goes beyond discrepancy-based search, while still retaining strong theoretical guarantees. We then explain that such stat...

Due to the evolving nature of technology-related industries and a faster-moving market place, there is a need for knowledge-intensive companies to continually develop in order to stay competitive. The inclusion of rapidly evolving software systems into the production pipeline creates a recurring need for competence development among employees in order to efficiently use the new technology. Howe...

Knowledge development in companies relies on knowledge-intensive business processes, which are characterized by a high complexity in their execution, weak structuring, communication-oriented tasks and high decision autonomy, and often the need for creativity and innovation. A foundation of knowledge development is provided, which is based on a new conception of knowledge and knowledge dynamics....

This paper proposes that a general systems perspective may be used as a framework for viewing the KIBS offering. It is proposed that a system view to KIBS should recognize the main dimensions of service concept, service process, and service resources and infrastructure. In this light initial findings of a case research project are reported. Key findings are that in the KIBS service concept the ...