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A Unifying Semantics for Causal Ramifications

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PRICAI 2000 Topics in Artificial Intelligence (PRICAI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1886))

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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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References

  1. 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.

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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

  • Online ISBN: 978-3-540-44533-3

  • eBook Packages: Springer Book Archive

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