IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4613-3394-4_1.html
   My bibliography  Save this book chapter

Theorem Proving in Hierarchical Clausal Specifications

In: Advances in Algorithms, Languages, and Complexity

Author

Listed:
  • J. Avenhaus

    (Universität Kaiserslautern, Fachbereich Informatik)

  • K. Madlener

    (Universität Kaiserslautern, Fachbereich Informatik)

Abstract

In this paper we are interested in an algebraic specification language that (1) allows for sufficient expessiveness, (2) admits a well-defined se-mantics, and (3) allows for formal proofs. To that end we study clausal specifications over built-in algebras. To keep things simple, we consider built-in algebras only that are given as the initial model of a Horn clause specification. On top of this Horn clause specification new operators are (partially) defined by positive/negative conditional equations. In the first part of the paper we define three types of semantics for such a hierarchical specification: model-theoretic, operational, and rewrite-based semantics. We show that all these semantics coincide, provided some restrictions are met. We associate a distinguished algebra A spec to a hierachical specification spec. This algebra is initial in the class of all models of spec. In the second part of the paper we study how to prove a theorem (a clause) valid in the distinguished algebra A spec. We first present an abstract framework for inductive theorem provers. Then we instantiate this framework for proving inductive validity., Finally we give some examples to show how concrete proofs are carried out.

Suggested Citation

  • J. Avenhaus & K. Madlener, 1997. "Theorem Proving in Hierarchical Clausal Specifications," Springer Books, in: Ding-Zhu Du & Ker-I Ko (ed.), Advances in Algorithms, Languages, and Complexity, pages 1-51, Springer.
  • Handle: RePEc:spr:sprchp:978-1-4613-3394-4_1
    DOI: 10.1007/978-1-4613-3394-4_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-1-4613-3394-4_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.