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Mind RACES: from Reactive to Anticipatory Cognitive Embodied Systems

Mind RACES is a three-year EC funded project (Sixth Framework Programme - Information Society and Technologies - Cognitive Systems) involving 8 Partners. It is mainly focused on the concept of Anticipation. The project started on October 1st 2004 and was formally completed on December 2007. The MindRACES website will be maintained and continuously updated anyway, and it will include novel work of the consortium on prediction and anticipation.

The general goal of the Mind RACES project is to investigate different anticipatory cognitive mechanisms and architectures in order to build Cognitive Systems endowed with the ability to predict the outcome of their actions, to build a model of future events, to control their perception anticipating future stimuli and to emotionally react to possible future scenarios. Such Anticipatory Cognitive Systems will contribute to the successful implementation of the desired ambient intelligence. 

After 3 years of research (see the Final EU Commission Report) the 7 Partners of MindRACES Consortium produced more than 80 publications, different robotic and software artefacts and important events, such as ABIALS 2008 and the Fall Symposium 2005, that show the importance of the Anticipation in various cognitive context.

This is a list of some of the most relevant publications resulting from MindRACES (click HERE to see them all):

  1. Balkenius, C. and Johansson, B. (2007). Anticipatory Models in Gaze Control: A Developmental Model. Cognitive Processing, 8, 167-174.
  2. Butz, M. V., Sigaud, O., Pezzulo, G., & Baldassarre, G. (Eds.). (2007). Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, LNAI 4520 (State-of-the-Art Survey). Springer Verlag, Berlin-Heidelberg.
  3. Butz, M.V., Herbort, O., & Hoffmann, J. (2007). Exploiting Redundancy for Flexible Behavior: Unsupervised Learning in a Modular Sensorimotor Control Architecture. Psychological Review, 114, 1015-1046.
  4. Butz, M.V., Lanzi, P.L., & Wilson, S.W. (in press). Function Approximation with XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Transactions on Evolutionary Computation.
  5. Gomez F. and Schmidhuber J. (2005). Co-Evolving Recurrent Neurons Learn Deep Memory POMDPs. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-05, Washington, D.C.). Nominated for Best Paper in Coevolution
  6. Lorini, E., Castelfranchi, C. (2006). The unexpected aspects of Surprise. International Journal of Pattern Recognition and Artificial Intelligence, 20 (6), pp. 817-835.
  7. Pezzulo, G. and Castelfranchi, C. (2007). The symbol detachment problem. Cognitive Processing, 8(2):115–131.
  8. Pezzulo, G.; Butz, M.V.; Castelfranchi, C. & Falcone, R. (eds.) The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems. Springer, forthcoming
  9. Schmidhuber J., Wierstra, D. and Gomez, F. (2005). Evolino: Hybrid Neuroevolution / Optimal Linear Search for Sequence Learning. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-05, Edinburgh).
  10. Wierstra D., Gomez, F. and Schmidhuber, J. (2005). Modeling Systems with Internal State using Evolino. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-05, Washington, D.C.). Winner of Best Paper Award in Learning Classifier Systems and Other Genetics-Based Machine Learning.
  11. Ognibene, D., Balkenius, C., Baldassarre, G. (in press 2008). Integrating epistemic action (active vision) and pragmatic action (reaching): a neural architecture for camera-arm robots. In: 'From Animals to Animats 10: The 10th International Conference on the Simulation of Adaptive Behaviour (SAB'08)'. 7-12 July 2008, Osaka, Japan.


       Information Society Technologies              Information Society Technologies - Cognitive Systems

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Last modified 2008-05-16 04:17 PM

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Anticipatory Cognitive Science is a research field that ensembles artificial intelligence, biology, psychology, neurology, engineering and philosophy in order to build anticipatory cognitive systems that are able to face human tasks with the same anticipatory capabilities and performance. In deep: Cognitive science is the interdisciplinary study of mind and intelligence, embracing philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. Its intellectual origins are in the mid-1950s when researchers in several fields began to develop theories of mind based on complex representations and computational procedures. Its organizational origins are in the mid-1970s when the Cognitive Science Society was formed and the journal Cognitive Science began. Since then, more than sixty universities in North America, Europe, Asia, and Australia have established cognitive science programs, and many others have instituted courses in cognitive science.