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EVOLUTION OF DIGITAL SPECIES BY USING MUTABLE CONTEXT
Abstract
Digital ecosystems are considered socio-technical clusters of adaptive applications with different levels of context awareness, adaptability, and autonomy. Applications from a digital ecosystem must solve concrete problems but have to be computationally efficient, it will have to find a balance between the freedom of a system to self-adapt and the constraints that apply to obtain a correct functionality. A new model of context is necessary to facilitate the development of adaptive applications that evolve with the running environment, and in special situations manage to maintain their functionality and ultimately achieve their goals. This paper introduces a model of mutable context for species (adaptive applications) running in digital ecosystems of applications.
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