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New perspectives on residuated posets

Project: Funded researchFWF - Austrian Science Fund

Project Details

Description

Residuated posets are important algebraic structures in various disciplines, including logic and mathematics. For instance, they are key structures for non-classical logics such as intuitionistic, linear, many-valued, and substructural logics as well as for ring theory. Nevertheless, with the exception of particular subclasses, the systematic description of the structure of these partially ordered algebras has remained until now an unsolved challenge. This project aims at a substantial progress in the theory of residuated posets; we intend to enlarge the presently quite limited class of those subclasses whose structure is known in detail. To know the structure of residuated posets as precisely as, e.g., in the case of MV- or BL-algebras would be important for a number of long-standing problems on the side of logic. We have in mind, e.g., the complexity problem for the logic MTL.
StatusFinished
Effective start/end date01.01.201531.12.2018

Collaborative partners

  • Johannes Kepler University Linz (lead)
  • Günther Eigenthaler (Project partner)
  • Jan Paseka (Project partner)
  • David Kruml (Project partner)
  • Sergejs Solovjovs (Project partner)
  • Jan Kühr (Project partner)
  • Ivan Chajda (Project partner)
  • Radomir Halas (Project partner)
  • Michal Botur (Project partner)
  • Helmut Länger (Project partner)
  • Gerhard Dorfer (Project partner)

Fields of science

  • 101013 Mathematical logic
  • 603109 Logic
  • 101 Mathematics
  • 102001 Artificial intelligence
  • 101027 Dynamical systems
  • 102003 Image processing
  • 102023 Supercomputing
  • 101004 Biomathematics
  • 101014 Numerical mathematics
  • 102035 Data science
  • 101028 Mathematical modelling
  • 102009 Computer simulation
  • 102019 Machine learning
  • 202027 Mechatronics
  • 101024 Probability theory
  • 206003 Medical physics
  • 206001 Biomedical engineering
  • 101020 Technical mathematics

JKU Focus areas

  • Digital Transformation