1. Slide no 1 Cognitive Systems in FP6 scope and focus Colette Maloney DG Information Society

2. Slide no 2 Outline  why cognitive systems? IST vision  what research? focus of call  where are we starting from? EOIs, current activities

3. Slide no 3 IST Vision: Ambient Intelligence  ability of computationally empowered devices to interconnect with each other and with us  sensors provide a window from world of interconnected computation into real physical world  using sensors, these devices will sense the world around us and respond by interacting with the world or by communicating with us  they need to ‘see’, ‘hear’, …. ‘understand’ and ‘act’  Ambient Intelligence requires perceptual systems capable of cognition

4. Slide no 4 Multimodal interfaces - towards cognitive systems? Through sensors, machines can identify and recognize patterns in human behaviour. They can learn how best to respond and adapt their behaviour accordingly. –future step: machines ‘understand’ human forms of communication –context: how to know and how to represent it –multimodal sensing: one approach to dealing with context Emergence of interfaces from ‘constrained’ or ‘known’ environments to the real-world environments  cognitive systems

5. Slide no 5 Knowledge technologies - towards cognitive systems? Semantic Web effort: binding – through ontologies - Web content to formal description of itself. Content can be ‘understood’ by the computer. –processing of formalised knowledge by computer: reduces need for human intervention in tasks such as classification, transaction processing and decision-making in Web-based applications –Shortcoming of current efforts: the annotation process – ie. the binding of content to descriptors - has to be done manually Next step: automating this process  cognitive systems

6. Slide no 6 Cognitive Systems: focus in FP6 methodologies and construction of:  physically instantiated systems integrating perception, reasoning, representation and learning  capable of interpretation, interaction and communication in the real world  to perform goal-directed tasks

7. Slide no 7 Cognitive Systems: focus in FP6 challenge: context (real-world) emphasis: build complete systems approach: multidisciplinary research  expect as output: methods & approaches for constructing robust & adaptive systems capable of cognition

8. Slide no 8 Cognitive Systems: focus in FP6 applications: –in image recognition, in behavioural interpretation, in video annotation, speech recognition, in automatic categorisation and classification, in goal-specification and decision support,… –can serve to demonstrate and measure progress –but applications NOT main target of research

9. Slide no 9 Cognitive Systems: EOIs –Cognitive capabilities in multimodal interfaces –Interfaces for ubiquitous computing environments –projects, not programmes –integration, not development from scratch

10. Slide no 10 Cognitive Systems: short history in FP5 cognitive vision systems 2000 - 2002 –robust image recognition –from application-specific to generalised solutions –from focus on low-level processing & robustness of individual components to systems approach where every component (incl. high-level cognitive functionalities) has a role to play in assuring robust behaviour of system –longer-term, largely academic, interdisciplinary effort 8 RTD projects & 1 Network: www.ecvision.info

11. Slide no 11 Cognitive Systems - related topics Multimodal Interfaces, call 1 intuitive multimodal interfaces... autonomous and capable of learning and adapting … in dynamically changing contexts Beyond Robotics, call 1 focus on open-ended lifelong learning systems Disappearing Computer, call 1 focus on open architectures allowing arbitrary combinations of ‘building blocks’ for ‘universal application’ Embedded Systems, call 2 focus on networked systems, distributed control

12. Slide no 12 Cognitive Systems: relevant info. Cognitive Vision Systems, workshop report, June 2000 Cognitive Systems, workshop report, July 2002 ECVISION network of excellence, www.ecvision.info