- Evolving systems Journal
- March 2014
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- Nowadays, one of the main characteristics of the intelligent system is their level of autonomy. In order to provide these systems with a high level of both autonomy and flexibility, new methods, algorithms and implementations of systems are emerging. The environment in which these systems operate is usually non-stationary, very (and unpredictably) changeable and even unknown. Thus, an intelligent system needs to be able to take into account these changes by changing their behavior, adapting their structure, self-evaluating and self-developing. These actions are needed in order to achieve the goal of evolving the whole system with environment. This is the main idea behind the emerging area of Evolving and Adaptive Intelligent Systems. The goal of the Evolving and Adaptive Intelligent Systems is the development of on-line learning methods and computationally efficient algorithms whose structure is very flexible in order to adapt to the environment. There are many different areas, in which...