While empirical evaluations are a common research method in some areas of Artificial Intelligence (AI), others still neglect this approach. This article outlines both the opportun...
Currently, large amounts of research exist into the design and implementation of adaptive systems. The complex task of authoring of such systems, or their evaluation, is addressed ...
Unambiguously, adaptive systems have to be evaluated empirically to guarantee that the adaptivity really works. Nevertheless, only few of the existing adaptive systems have been ev...
Distributed programming is applicable in a wide range of domains such as control systems. These systems are subject to mutable environments and must also provide a time varying ad...
Luci Pirmez, Luiz F. Rust da Costa Carmo, Reinaldo...
Current trends show that partial and dynamic reconfiguration can be used in adaptive systems. These systems are able to adapt themselves to the demand of their environment during r...
Abstract. A promising approach towards evaluating adaptive systems is to decompose the adaptation process and evaluate the system in a “piece-wise” manner. This paper presents ...
—Adaptive systems have been broadly used in a wide range of applications and can be categorized into linear or nonlinear adaptive systems. Unfortunately, hardware complexity for ...
Abstract. There is little doubt that intelligent and adaptive educational technologies are capable of providing personalized learning experiences and improving learning success. Cu...
It is becoming increasingly important to be able to adapt an application’s behavior at run time in response to changing requirements and environmental conditions. Adaptive progr...