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Items where Author is "Kuhnberger, K-U."

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Besold, T. R., Kuhnberger, K-U. & Plaza, E. (2017). Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams. Connection Science, 29(4), pp. 387-413. doi: 10.1080/09540091.2017.1326463

Besold, T. R. & Kuhnberger, K-U. (2015). Towards integrated neural-symbolic systems for human-level AI: Two research programs helping to bridge the gaps. Biologically Inspired Cognitive Architectures, 14, pp. 97-110. doi: 10.1016/j.bica.2015.09.003

Garcez, A., Besold, T. R., Raedt, L. , Foldiak, P., Hitzler, P., Icard, T., Kuhnberger, K-U., Lamb, L. C., Miikkulainen, R. & Silver, D. L. (2015). Neural-Symbolic Learning and Reasoning: Contributions and Challenges. Paper presented at the 2015 AAAI Spring Symposium Series, 23-03-2015 - 25-03-2015, Stanford University, USA.

Martinez, M., Krumnack, U., Smaill, A. , Besold, T. R., Abdel-Fattah, A. M. H., Schmidt, M., Gust, H., Kuhnberger, K-U., Guhe, M. & Pease, A. (2014). Algorithmic aspects of theory blending. Lecture Notes in Computer Science, 8884, pp. 180-192. doi: 10.1007/978-3-319-13770-4_16

Besold, T. R. & Kuhnberger, K-U. (2014). Applying AI for modeling and understanding analogy-based classroom teaching tools and techniques. Lecture Notes in Computer Science, 8736, pp. 55-61. doi: 10.1007/978-3-319-11206-0_6

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