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2003-2004 Work Programme
2.3.2.4 Cognitive Systems
Objective
To construct physically instantiated or embodied systems that can perceive, understand (the semantics of information conveyed through their perceptual input) and interact with their environment, and evolve in order to achieve human-like performance in activities requiring context-(situation and task) specific knowledge.
Focus is on
- Methodologies and construction of robust and adaptive cognitive systems integrating perception, reasoning, representation and learning, that are capable of interpretation, physical interaction and communication in real-world environments for the purpose of performing goal-directed tasks. Research will aim at realising complete systems with real-time performance and/or bounded rationality, have well developed memory capacities (e.g. short term, long term, iconic, associative) with efficient representation, and that acquire representations as needed to realise performance goals. The emphasis is on closing the loop in realistic test cases.
A main target of this research is interdisciplinarity, i.e., to carefully consider the integration of different disciplines including computer vision, natural language understanding, robotics, artificial intelligence, mathematics and cognitive neuroscience and its impact on overall system design. Integrated Projects are expected to leverage these communities to integrate methods and insights towards the objective of realising entire systems and to promote community building. NoEs will provide a channel for fostering foundational research, for developing and maintaining common resources, specifically, of open systems and training environments to study learning and evolving systems.