Abstract
This paper reviews experiments with an approach to discovery through robot’s experimentation in its environment. In addition to discovering laws that enable predictions, we are particularly interested in the mechanisms that enable the discovery of abstract concepts that are not explicitly observable in the measured data, such as the notions of a tool or stability. The approach is based on the use of Inductive Logic Programming. Examples of actually discovered abstract concepts in the experiments include the concepts of a movable object, an obstacle and a tool.
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Bratko, I., Šuc, D., Awaad, I., Demšar, J., Gemeiner, P., Guid, M., Leon, B., Mestnik, M., Prankl, J., Prassler, E., Vincze, M., Žabkar, J.: Initial experiments in robot discovery in XPERO. In: ICRA’07 Workshop Concept Learning for Embodied Agents, Rome (2007)
Bratko, I.: An Assessment of Machine Learning Methods for Robotic Discovery. Journal of Computing and Information Technology – CIT 16, 247–254 (2008)
Demšar, J., Zupan, B.: Orange: Data Mining Fruitful & Fun - From Experimental Machine Learning to Interactive Data Mining (2006), http://www.ailab.si/orange
Šuc, D.: Machine Reconstruction of Human Control Strategies, Frontiers Artificial Intelligence Appl., vol. 99. IOS Press, Amsterdam (2003)
Križman, V.: Automatic Discovery of the Structure of Dynamic System Models. PhD thesis, Faculty of Computer and Information Sciences, University of Ljubljana (1998)
Srinivasan, A.: The Aleph Manual. Technical Report, Computing Laboratory, Oxford University (2000), http://web.comlab.ox.ac.uk/oucl/research/areas/machlearn/Aleph/
Bratko, I.: Prolog Programming for Artificial Intelligence, 3rd edn. Addison-Wesley/Pearson (2001)
Richardson, M., Domingos, P.: Markov Logic Networks. Machine Learning 62, 107–136 (2006)
Aldebaran robotics – Nao (2010), http://www.aldebaran-robotics.com/eng/index.php
Leban, G., Žabkar, J., Bratko, I.: An experiment in robot discovery with ILP. In: Železný, F., Lavrač, N. (eds.) ILP 2008. LNCS (LNAI), vol. 5194, pp. 77–90. Springer, Heidelberg (2008)
Košmerlj, A., Leban, G., Žabkar, J., Bratko, I.: Gaining Insights About Objects Functions, Properties and Interactions, XPERO Report D4.3. Univ. of Ljubljana, Faculty of Computer and Info. Sc. (2009)
Stahl, I.: Predicate invention in Inductive Logic Programming. In: De Raedt, L. (ed.) Advances in Inductive Logic Programming, pp. 34–47. IOS Press, Amsterdam (1996)
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Bratko, I. (2010). Discovery of Abstract Concepts by a Robot. In: Pfahringer, B., Holmes, G., Hoffmann, A. (eds) Discovery Science. DS 2010. Lecture Notes in Computer Science(), vol 6332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16184-1_27
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DOI: https://doi.org/10.1007/978-3-642-16184-1_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16183-4
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