Artificial Neural Networks - (excerpt) by J. Principe

By J. Principe

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Sample text

Stationary agents are communicating with others. Their strength is the ability to communicate, cooperate and co-ordinate their problem solving abilities. It is widely recognised that intelligent agent technologies might overcome some of the current limitations of Information Retrieval and Brokerage system architectures. In this section, three technical papers are presented outlining how Intelligence and Agents in Information Brokerage and Retrieval are used, in order to improve the quality, performance and efficiency of the processes as well as to include new and innovative service elements.

In addition to re-usability and integration of existing components, the ability of the assembled business systems to support trial scenarios that satisfy real telecommunication management requirements is emphasised The paper also emphasises the application of the guidelines to realise the accounting and billing business system trial. The mapping of relevant TMF business process onto TINA business and computational models turned out to be relatively straightforward, although the separation between service and connectivity provider within the TINA model forced some adaptations to the TMF model.

Flexibility – in a dynamic environment, it is essential to be able to modify system behaviour after it has been installed with minimal cost and in a relevant time-scale. • Scalability – scale is a key factor in any network management architecture aimed farther than the LAN market. This has been a goal of previous architectures. However developments in software technology allow new approaches to this requirement. • Encourage new markets in management software – open interfaces lead to market opportunities.

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