TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. A matrix characterization for multiplicative exponential linear logic
 
Options

A matrix characterization for multiplicative exponential linear logic

Publikationstyp
Journal Article
Date Issued
2004-02
Sprache
English
Author(s)
Kreitz, Christoph  
Mantel, Heiko 
TORE-URI
http://hdl.handle.net/11420/13958
Journal
Journal of automated reasoning  
Volume
32
Issue
2
Start Page
121
End Page
166
Citation
Journal of Automated Reasoning 32 (2): 121-166 (2004-02)
Publisher DOI
10.1023/B:JARS.0000029976.22387.ac
Scopus ID
2-s2.0-3042839155
Publisher
Springer Science + Business Media B.V.
We develop a matrix characterization of logical validity in script M sign script E sign ℒ ℒ, the multiplicative fragment of prepositional linear logic with exponentials and constants. To prove the correctness and completeness of our characterization, we use a purely proof-theoretical justification rather than semantical arguments. Our characterization is based on concepts similar to matrix characterizations proposed by Wallen for other nonclassical logics. It provides a foundation for developing proof search procedures for script M sign script E sign ℒ ℒ by adopting techniques that are based on these concepts and also makes it possible to adopt algorithms that translate the machine-found proofs back into the usual sequent calculus for script M sign script E sign ℒ ℒ.
Subjects
Automated deduction
Connection method
Linear logic
DDC Class
004: Informatik
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback