Abstract
A logic programming formalization of action domains has been well-studied and some work exists on the combination with learning methods. We extend previous work to deal with the indirect effects of actions and to solve the problems derived from cyclic dependences.
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Lorenzo, D.: Learning causal action theories from narratives of actions. In: Benferhat, S., Giunchiglia, E. (eds.) Proceedings of the 9th International Workshop on Non-monotonic Reasoning, pp. 349–355 (2002)
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© 2003 Springer-Verlag Berlin Heidelberg
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Lorenzo, D. (2003). Learning Action Theories with Ramifications. In: Pires, F.M., Abreu, S. (eds) Progress in Artificial Intelligence. EPIA 2003. Lecture Notes in Computer Science(), vol 2902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24580-3_32
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DOI: https://doi.org/10.1007/978-3-540-24580-3_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20589-0
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