RECOGNITION · Relevance and cognition for self-awareness in a content-centric Internet

RECOGNITION will develop a radically new approach for embedding self-awareness in ICT systems. This will be based on the cognitive processes that the human species exhibits for self-awareness, seeking to exploit the fact that humans are ultimately the fundamental basis for high performance autonomic processes. This is due to the cognitive ability of the brain to efficiently assert relevance (or irrelevance), extract knowledge and take appropriate decisions, when faced with partial information and disparate stimuli. Using the psychological and cognitive sciences as concrete inspiration, our approach is to develop functional models of the core cognitive processes that allow humans to assert relevance and achieve knowledge from information. This involves mechanisms such as inference, belief, similarity and trust. These will be translated to the ICT domain by development of flexible RECOGNITION algorithms that can be imbedded in ICT on a flexible basis for self-awareness.We will demonstrate this new paradigm for Internet content. The future Internet will see ever-increasing amounts of content that needs to be effectively managed and acquired, often from portable devices and in diverse spatial and social situations. The massive scale of content will swamp the user with information, impeding effective management and relevant acquisition by the user. By exploiting the self-awareness capability we will enable the users, content and network to cope effectively in a scalable manner, thus making unprecedented amounts of relevant content available and unleashing new classes of applications that extract maximum utility from content.<br/>