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Quantitative Causality in Membrane Systems

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Membrane Computing (CMC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7184))

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Abstract

We define and study specific and general causality in terms of multisets of objects and of multisets of rules. We relate the two notions of causality, and provide characterizations for each of them. We give an inductive method of obtaining the general causes of a multiset of objects, and use the general causes of a multiset v to find all the multisets u from which v can be obtained in a single evolution step.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Romanian Academy, Blvd. Carol I no.8, 700505, Iaşi, Romania

    Oana Agrigoroaiei & Gabriel Ciobanu

Authors
  1. Oana Agrigoroaiei
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  2. Gabriel Ciobanu
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, University of Sheffield, Regent Court, Portobello Street, S1 4DP, Sheffield, UK

    Marian Gheorghe

  2. Institute of Mathematics of the Romanian Academy, P.O. Box 1-764, 014700, Bucharest, Romania

    Gheorghe Păun

  3. Leiden Center of Advanced Computer Science (LIACS), Leiden University, Niels Bohrweg 1, 2333, Leiden, CA, The Netherlands

    Grzegorz Rozenberg

  4. Turku Centre for Computer Science (TUCS), Leminkaisenkatu 14, 20520, Turku, Finland

    Arto Salomaa

  5. Faculté des Sciences et Technologie, Laboratoire d’Algorithmique, Complexité et Logique (LACL), Université Paris Est – Créteil Val de Marne, 61, av. Général de Gaulle, 94010, Créteil, France

    Sergey Verlan

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Agrigoroaiei, O., Ciobanu, G. (2012). Quantitative Causality in Membrane Systems. In: Gheorghe, M., Păun, G., Rozenberg, G., Salomaa, A., Verlan, S. (eds) Membrane Computing. CMC 2011. Lecture Notes in Computer Science, vol 7184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28024-5_6

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  • DOI: https://doi.org/10.1007/978-3-642-28024-5_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28023-8

  • Online ISBN: 978-3-642-28024-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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