Funded Projects

Important note: the projects below are recommended for funding to the national research funding organisations of CHIST-ERA by the Call Steering Committee of CHIST-ERA. The actual funding of the projects depends on the successful completion of contracts negotiation at the national level.

ACE

Autonomic Software Engineering for online cultural experiences

1) Context: This project is about exploiting the predominance of social networking using autonomic software agents to enrich, encourage and enliven engagement with online cultural artefacts such as from a museum or a gallery. With the current problems in the European financial debt, many cultural institutions are planning to shorten the length that visitors can physically enter. In the UK for example we have heard of plans that the British Museum will close earlier and possibly shut down completely for one day a week because of the massive cuts in funding that were presented in the UK Chancellors speech...

Beyond Autonomic Systems - the Challenge of Consciousness (2010)

Adaptive Automated Scientific Laboratory

Our proposal integrates the scientific method with 21st century automation technology, with the goal of making scientific discovery more efficient (cheaper, faster, better). A Robot Scientist is a physically implemented laboratory automation system that exploits techniques from the field of artificial intelligence to execute cycles of scientific experimentation. Our vision is that within 10 years many scientific discoveries will be made by teams of human and robot scientists, and that such collaborations between human and robot scientists will produce scientific knowledge more efficiently than either could alone...

Adaptive Machines in Complex Environments (2013)

Autonomous Lifelong learnIng intelLigent Systems

Standard machine learning systems require massive data and huge processing infrastructures, but the main limitation to their spreading comes from the need of the empirical and rare knowledge of an experienced data scientist able to set and adjust their behavior over time. The ALLIES project will lay the foundation for development of autonomous intelligent systems sustaining their performance across time. Such unsupervised system will be able to auto-update and perform self-evaluation to be aware of the evolution of its own knowledge acquisition. It should adapt to a changing environment by following a given...

Lifelong Learning for Intelligent Systems (LLIS) (2016)

Autonomous Learning of the Meaning of Objects

The goal of ALOOF is to enable robots to tap into the ever-growing amount of knowledge available on the Web, by learning from there about the meaning of previously unseen objects, expressed in a form that makes them applicable when acting in situated environments. By searching the Web, robots will be able to learn about new objects, their specific properties, where they might be stored and so forth. To achieve this, robots need a mechanism for translating between the representations used in their real-world experience and those on the Web. We propose a meta-modal representation, composed of meta-modal entities...

Adaptive Machines in Complex Environments (2013)

Access Multilingual Information opinionS

With the growth of the information in different media such as TV programs or internet, a new issue arises. How a user can access to the information which is expressed in a foreign language? The idea of the project is to develop a multilingual help system of understanding without any human being intervention. What we would like to do, is to help people understanding broadcasting news, presented in a foreign language and to compare it to the corresponding one available in the mother tongue of the user. The concept of understanding is approached in this project by giving access to any information whatever the...

Human Language Understanding: Grounding Language Learning (2014)

ArTificial Language uNdersTanding In robotS

ATLANTIS attempts to understand and model the very first stages in grounded language learning, as we see in children until the age of three: how pointing or other symbolic gestures emerge from the ontogenetic ritualization of instrumental actions, how words are learned very fast in contextualized language games, and how the first grammatical constructions emerge from concrete sentences. This requires a global, computational theory of symbolic development that informs us about what forces motivate language development, what strategies are exploited in learner and caregiver interactions to come up with more...

Human Language Understanding: Grounding Language Learning (2014)

Collaborative Annotation of multi-MOdal, multI-Lingual and multi-mEdia documents

Human activity is constantly generating large volumes of heterogeneous data, in particular via the Web. These data can be collected and explored to gain new insights in social sciences, linguistics, economics, behavioural studies as well as artificial intelligence and computer sciences. In this regard, 3M (multimodal, multimedia, multilingual) data could be seen as a paradigm of sharing an object of study, human data, between many scientific domains. But, to be really useful, these data should be annotated, and available in very large amounts. Annotated data is useful for computer sciences which process human...

From Data to New Knowledge (2011)

Cooperative Autonomous Robots in Complex and Humans Environments

Public spaces in large cities are increasingly becoming complex and unwelcoming environments. Public spaces progressively become more hostile and unpleasant to use because of the overcrowding and complex information in signboards. It is in the interest of cities to make their public spaces easier to use, friendlier to visitors and safer to increasing elderly population and to citizens with disabilities. Meanwhile, we observe, in the last decade a tremendous progress in the development of robots in dynamic, complex and uncertain environments. The new challenge for the near future is to deploy a network of robots...

Adaptive Machines in Complex Environments (2013)