Objectif In the words of Adam Greenfield, the age of ubiquitous computing is here: a computing without computers, where information processing has diffused into everyday life, and virtually disappeared from view . Conventional hardware and software has evolved into everyware sensor-enabled electronic devices, virtually invisible and wirelessly connected on which we increasingly often rely for everyday activities and access to services such as banking and healthcare. The key component of everyware is embedded software, continuously interacting with its environment by means of sensors and actuators. Ubiquitous computing must deal with the challenges posed by the complex scenario of communities of everyware , in presence of environmental uncertainty and resource limitations, while at the same time aiming to meet high-level expectations of autonomous operation, predictability and robustness. This calls for the use of quantitative measures, stochastic modelling, discrete and continuous dynamics and goal-driven approaches, which the emerging quantitative software verification is unable to address at present. The central premise of the proposal is that there is a need for a paradigm shift in verification to enable everyware verification, which can be achieved through a model-based approach that admits discrete and continuous dynamics, the replacement of offline methods with online techniques such as machine learning, and the use of game-theoretic and planning techniques. The project will significantly advance quantitative probabilistic verification in new and previously unexplored directions. I will lead a team of researchers investigating the fundamental principles of everyware verification, development of algorithms and prototype implementations, and experimenting with case studies. I will also provide continued scientific leadership in the area of ubiquitous computing. Champ scientifique natural sciencescomputer and information sciencessoftwareengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsnatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencescomputer and information sciencesdata sciencedata processing Programme(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Thème(s) ERC-AG-PE6 - ERC Advanced Grant - Computer science and informatics Appel à propositions ERC-2009-AdG Voir d’autres projets de cet appel Régime de financement ERC-AG - ERC Advanced Grant Institution d’accueil THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD Contribution de l’UE € 2 060 360,00 Adresse WELLINGTON SQUARE UNIVERSITY OFFICES OX1 2JD Oxford Royaume-Uni Voir sur la carte Région South East (England) Berkshire, Buckinghamshire and Oxfordshire Oxfordshire Type d’activité Higher or Secondary Education Establishments Chercheur principal Marta Zofia Kwiatkowska (Prof.) Contact administratif Gill Wells (Ms.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD Royaume-Uni Contribution de l’UE € 2 060 360,00 Adresse WELLINGTON SQUARE UNIVERSITY OFFICES OX1 2JD Oxford Voir sur la carte Région South East (England) Berkshire, Buckinghamshire and Oxfordshire Oxfordshire Type d’activité Higher or Secondary Education Establishments Chercheur principal Marta Zofia Kwiatkowska (Prof.) Contact administratif Gill Wells (Ms.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée