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Artificial Intelligence for Knowledge Management and Learning

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Abstract

In the previous chapter we identified what we understand as corporate knowledge and knowledge management for companies. We have discussed why it is advantageous and how knowledge management can make the competitive difference between two companies, specifically for service companies. We have highlighted the power of connectionist thinking for knowledge management and the example of our brain was used to introduce the concept of neural networks. In this chapter we will discuss two specific techniques which can be used while building connectionist networks: artificial neural networks and fuzzy logic. They are both considered as part of what we call artificial intelligence techniques. The combination of both promises to be able to generate some intelligence in decision making. In a first stage we will describe and elaborate the techniques. The next chapter gives examples of straight applications of connectionist networks (artificial neural networks) in real life corporate situations. There after we discuss some examples of real life cases in knowledge management or connectionist approaches to complex management cases.

Keywords

Neural Network Fuzzy Logic Business Process Knowledge Management Fuzzy Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1998

Authors and Affiliations

  1. 1.The Netherlands Business SchoolNijenrode UniversityThe Netherlands

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