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Similarity Orders from Causal Equations

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Logics in Artificial Intelligence (JELIA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8761))

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Abstract

The purpose of this paper is to demonstrate that, contrary to the received wisdom, causal reasoning can be formalized wholly within the framework of Lewis’ conditional logic. To this aim we simulate causal reasoning based on structural equations in Lewis’ order semantics. This reduction is based on a formalization of an intuitive idea for computing relative similarity between worlds. Worlds are the more similar the more they satisfy the same relevant propositions, where relevance is a comparative notion represented by a preorder. In the context of causal reasoning this relevance order on propositions depends on the causal structure of the problem domain.

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References

  1. Coste-Marquis, S., Lang, J., Liberatore, P., Marquis, P.: Expressive power and succinctness of propositional languages for preference representation. In: Dubois, D., Welty, C.A., Williams, M.-A. (eds.) KR, pp. 203–212. AAAI Press (2004)

    Google Scholar 

  2. Halpern, J.Y.: From causal models to counterfactual structures. Review of Symbolic Logic 6(2), 305–322 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  3. Kratzer, A.: Partition and revision: The semantics of counterfactuals. Journal of Philosophical Logic 10(2), 201–216 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  4. Lewis, D.: Counterfactuals. Blackwell Publishers (1973)

    Google Scholar 

  5. Lewis, D.: Counterfactual dependence and time’s arrow. Noûs 13(4), 455–476 (1979)

    Article  Google Scholar 

  6. Lewis, D.: Ordering semantics and premise semantics for counterfactuals. Journal of Philosophical Logic 10(2), 217–234 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  7. Marti, J., Pinosio, R.: Topological semantics for conditionals. In: Punčochář, V., Švarný, P. (eds.) The Logica Yearbook 2013. College Publications (to appear)

    Google Scholar 

  8. Pearl, J.: Causality: Models, Reasoning, and Inference. Cambridge University Press (2000)

    Google Scholar 

  9. Schulz, K.: Minimal Models in Semantics and Pragmatics: Free Choice, Exhaustivity, and Conditionals. PhD thesis, University of Amsterdam (2007)

    Google Scholar 

  10. Schulz, K.: “If you’d wiggled A, then B would’ve changed” - Causality and counterfactual conditionals. Synthese 179(2), 239–251 (2011)

    Article  MATH  Google Scholar 

  11. Simon, H.A., Rescher, N.: Cause and counterfactual. Philosophy of Science 33(4), 323–340 (1966)

    Article  Google Scholar 

  12. Tichý, P.: A counterexample to the Stalnaker-Lewis analysis of counterfactuals. Philosophical Studies 29(4), 271–273 (1976)

    Article  Google Scholar 

  13. Veltman, F.: Prejudices, presuppositions, and the theory of counterfactuals. In: Groenendijk, J., Stokhof, M. (eds.) Amsterdam Papers in Formal Grammar, vol. 1, pp. 248–282. Centrale Interfaculteit, Universiteit van Amsterdam (1976)

    Google Scholar 

  14. Veltman, F.: Logics for Conditionals. PhD thesis, University of Amsterdam (1985)

    Google Scholar 

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© 2014 Springer International Publishing Switzerland

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Marti, J., Pinosio, R. (2014). Similarity Orders from Causal Equations. In: Fermé, E., Leite, J. (eds) Logics in Artificial Intelligence. JELIA 2014. Lecture Notes in Computer Science(), vol 8761. Springer, Cham. https://doi.org/10.1007/978-3-319-11558-0_35

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  • DOI: https://doi.org/10.1007/978-3-319-11558-0_35

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11557-3

  • Online ISBN: 978-3-319-11558-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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