Self-Learning and Adaptive Systems: The CODA Approach

Tereska Karran, Kambiz Madani and George R. Ribeiro-Justo

University of Westminster

6.1 What is CODA?

Intelligent agent technology [1] has become important in providing intelligent personal support for users. Agents are however only one possible solution to the problem of intelligent support and in many cases the expectations have been higher than the real results this technology can actually deliver. In addition, an important issue is that in order to offer the best advice in a large and complex system such as mobile networks, a large amount of information may be needed. Intelligent agents are not usually designed to deal with such a large amount of data. A better solution to the problem of analysing large amounts of data is the concept of business intelligence [2]. Business intelligence aims to support business analysis and decision-making by creating consistent, information that is crucial for companies to make timely decisions and respond to changing business conditions. While agent technology focuses on a particular user, business intelligence tries to correlate data from many users in different situations, especially historical data, in order to support global decision-making processes, For example, by combining historical data of network usage with current trends, it is possible to derive future forecasts.

Complex Organic Distributed Architecture (CODA) [3, 4] represents a new generation of decision-making systems that ...

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