Abstract
A unifying semantic framework for different reasoning approaches provides an ideal tool to compare these competing alternatives. However, it has been shown recently that a pure preferential semantics alone is not capable of providing such a unifying framework. On the other hand, variants of preferential semantics augmented by additional structures on the state space have been successfully used to characterise some influential approaches to reasoning about action and causality. The primary aim of this paper is to provide an augmented preferential semantics that is general enough to unify two prominent frameworks for reasoning about action and causality—Sandewall’s causal propagation semantics [4] and Thielscher’s causal relationships approach [5]. There are indications that these and other different augmented preferential semantical approaches can by unified into a general framework, and provide the unified semantics that is lacking so far.
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Norman McCain and Hudson Turner. A causal theory of ramifications and qualifications. In Proceedings of the 14th Int. Joint Conf. on Artificial Intelligence, pages 1978–1984. 1995.
Pavlos Peppas, Maurice Pagnucco, Mikhail Prokopenko, Abhaya Nayak and Norman Foo. Preferential Semantics for Causal Systems. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pages 118–123. Stockholm, 1999.
Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas, Abhaya Nayak. Causal Propagation Semantics — A Study. In Proceedings of the 12th Australian Joint Conference on Artificial Intelligence, pages 378–392. Sydney, 1999.
Erik Sandewall. Assessments of ramification methods that use static domain constraints. In L. Aiello, J. Doyle, and S. Shapiro, editors, Proceedings of the Fifth International Conference on Knowledge Representation and Reasoning. Morgan-Kaufmann, 1996.
Michael Thielscher. Ramification and Causality. Artificial Intelligence 89: 317–364, 1997.
Marianne Winslett. Reasoning about actions using a possible models approach. In Proceedings of the Seventh National Artificial Intelligence Conference, San Mateo, CA, 1988.
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© 2000 Springer-Verlag Berlin Heidelberg
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Prokopenko, M., Pagnucco, M., Peppas, P., Nayak, A. (2000). A Unifying Semantics for Causal Ramifications. In: Mizoguchi, R., Slaney, J. (eds) PRICAI 2000 Topics in Artificial Intelligence. PRICAI 2000. Lecture Notes in Computer Science(), vol 1886. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44533-1_8
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DOI: https://doi.org/10.1007/3-540-44533-1_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67925-7
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