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Causal Propagation Semantics — A Study

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1747))

Abstract

A unifying semantic framework for different reasoning approaches provides an ideal tool to compare these competing alternatives. A historic example is Kripke’s possible world semantics that provided a unifying framework for different systems of modal logic. More recently, Shoham’s work on preferential semantics similarly provided a much needed framework to uniformly represent and compare a variety of nonmonotonic logics (including some logics of action). The present work develops a novel type of semantics for a particular causal approach to reasoning about action. The basic idea is to abandon the standard state-space of possible worlds and consider instead a larger set of possibilities — a hyper-space — tracing the effects of actions (including indirect effects) with the states in the hyper-space. Intuitively, the purpose of these hyper-states is to supply extra context to record the process of causality.

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© 1999 Springer-Verlag Berlin Heidelberg

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Prokopenko, M., Pagnucco, M., Peppas, P., Nayak, A. (1999). Causal Propagation Semantics — A Study. In: Foo, N. (eds) Advanced Topics in Artificial Intelligence. AI 1999. Lecture Notes in Computer Science(), vol 1747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46695-9_32

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  • DOI: https://doi.org/10.1007/3-540-46695-9_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66822-0

  • Online ISBN: 978-3-540-46695-6

  • eBook Packages: Springer Book Archive

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